Neuropsychoanalysis, 2009, 11 (1) 7 Depression: An Evolutionarily Conserved Mechanism to Terminate Separation Distress? A Review of Aminergic, Peptidergic, and Neural Network Perspectives Douglas F. Watt (Cambridge, MA) & Jaak Panksepp (Pullman, WA) Our basic thesis is that depression is an evolutionarily conserved mechanism in mammalian brains, selected as a shutdown mechanism to terminate protracted separation distress (a prototype mammalian emotional state), which, if sustained, would be dangerous for infant mammals. However, this fundamental shutdown mechanism remains available to more mature mammalian and hominid brains, particularly those with certain polymorphisms in genetic endowment, early loss/separation trauma, or other predisposing factors, which can promote reactivation in relationship to almost any chronic stressor. Such evolutionarily selected shutdown mechanisms could become hypertrophied, and released from normal adaptive control mechanisms in vulnerable individuals, to potentially yield the full spectrum of depressive illness. Depression remains a challenging puzzle of neurobiological correlates, involving changes in many biogenic amine and neuropeptide systems and alterations in neuroendocrine and immune function. We suggest that core factors form an interactive and even synergistic “depressive matrix,” which argues against any “single-factor” theory. We examine core contributions from stress cascades, immune function, and multiple neuropeptide and monoamine systems. Contrary to many single-factor or primary factors, our review suggests active synergisms between factors, as well as a complex recursive (looping) control architecture regulating both entry and exit from depression. Such an interactive matrix of factors may help explain why such an enormous multiplicity of potential treatments are antidepressant, ranging from psychotherapy and exercise to multiple drugs, vagal and deep brain stimulation, and ECT. This review bridges domains generally disconnected in current literature. Traditional biological psychiatric perspectives are almost totally “bottom-up” (neglecting relationships between depression and social stress) and typically cannot explain why depression is such a pervasive problem, or why evolution could have ever selected for such a mechanism. Linking depression to protracted separation distress provides a heuristic potential integration of findings, particularly between long-standing psychotherapy and psychodynamic perspectives and emerging neuroscience insights. This hypothesis yields various testable predictions at both clinical and neuroscience levels. Keywords: depression; neuropeptides; dynorphin; attachment; separation distress; stress; corticotropin-releasing factor ; opioids The heart asks pleasure first, And then, excuse from pain; And then, those little anodynes That deaden suffering; “Let us make no bones about it: We do not really know what causes depression. We do not really know what constitutes depression. We do not really know why certain treatments may be effective for depression. We do not know how depression made it through the evolutionary process. We do not know why one person gets a depression from circumstances that do not trouble another.” And then, to go to sleep; And then, if it should be The will of its Inquisitor, The liberty to die. Andrew Solomon (2001), p. 29 Emily Dickinson Douglas F. Watt: Clinic for Cognitive Disorders, Quincy Medical Center, Boston University School of Medicine, Boston, MA, U.S.A.; Jaak Panksepp: Department of VCAPP, College of Veterinary Medicine, Washington State University, Pullman, WA, U.S.A. Correspondence to: Douglas F. Watt: Clinic for Cognitive Disorders, Quincy Medical Center, Boston University School of Medicine, Boston, MA 01760, U.S.A (email: [email protected]). Acknowledgments: The construction of this manuscript was partly supported by a Hope for Depression Research Foundation grant to JP. The first author, DFW, wishes to express his deep appreciation for the contributions by many hundreds of depressed patients, who through the years of clinical practice have keenly expressed in words and behavior their suffering, expressions that provided ample motivation for this review, with the hope that the review does do justice to those who are suffering, or have suffered from, depression. © 2009 The International Neuropsychoanalysis Society • http://www.neuropsa.org 8 Introduction: the problem space Depression is truly an ancient issue for human beings, with references to depression appearing in many classical sources, onward from the earliest recorded human history. A classic account of depression from the late Renaissance was Burton’s 1621 Anatomy of Melancholy. Depression is probably the most common neuropsychiatric and emotional disturbance to which human beings potentially fall prey. The true epidemiologic incidence of depression remains poorly charted, but official estimates suggest that 20% of the population across the globe may be affected at one time or another by variants of major depression (WPA Bulletin on Depression, 2002). If one were to include its milder forms or briefer depressive episodes, the lifetime incidence of some form of depressive-spectrum disorder is probably much higher, perhaps as high as 75–80%. Not only is it the most common mental health or emotional issue bringing patients to physicians and mental health professionals, it is also probably substantially underdiagnosed (Lecrubier, 2007). For unknown reasons, there is perhaps a twofold higher prevalence in females, potentially indicating that their social–emotional systems are more sensitive or more affected by the abundant stressors that can promote depression. According to DSM-IV (APA, 1994), lifetime risk for major depression is roughly 10% to 25% for women and 5% to 12% for men. Given the many who never seek treatment, these numbers are probably significant underestimates. The true incidence of depression in the general population is probably higher than official epidemiological estimates. Although twin studies suggest significant heritability or vulnerability to major depression, ranging from 31% to 42% (Sullivan, Neale, & Kendler, 2000), this implies that roughly two thirds of the variance may be environmental. From a societal perspective, depression constitutes staggering human and economic costs, including recent estimates that major depression is a leading cause of disability worldwide and hence the single most expensive disorder confronting Western societies (WPA Bulletin on Depression, 2002). Since depression may worsen many other medical conditions (Kessler et al., 2003), including being a significant risk factor for cardiac disease, immune dysregulation, obesity, addiction, just to name a few, the total human and economic costs associated with depression may be larger than has yet been estimated. The challenges in integrating both data and theory in relationship to depression are formidable, involving major conceptual and empirical problems, spanning a huge, sprawling, and heterogeneous literature. Douglas F. Watt & Jaak Panksepp Although the popular media typically conceptualizes depression as an “illness caused by a chemical imbalance,” with major pharmaceutical firms highly motivated to advance similar perspectives,1 most scientific literature suggests that depression should be treated as a syndrome and not a distinct illness. Additionally, popular depictions of depression as “a chemical imbalance” are trivial without a concurrent functional–psychological analysis; all problems in living, including death, are accompanied by “chemical imbalances.” Furthermore, the presence of untreated depressive affect in significant numbers of the general population argues that depression is not a traditional “illness.” The “illness” categorization also begs the question of why evolution might have permitted, even selected for, such a common dysphoric mood state in the first place. Although study into the genetics of depression is mushrooming (Levinson, 2006), only a few investigators (e.g., Allen & Badcock, 2006; Nesse, 2000) have asked, “what is the adaptive basis for depression?” This is especially perplexing since depressive disorders promote profoundly maladaptive behavior, leading to many social and occupational failures. The equation of depression with maladaptive behaviors is partly related to the ability of depression to promote suicide, a most dramatic violation of evolutionary and adaptive survival mandates, which imposes tragic burdens on surviving loved ones. Equating clinical depression with maladaptation is understandable but is scientifically unsatisfying if allowed to obscure two core questions: (1) Why is depression so commonplace? (2) What are the evolutionarily conserved brain mechanisms that promote depression? The neglect of such issues reflects, in part, psychiatry’s attempt to map psychiatric syndromes directly onto brain mechanisms while ignoring the intervening psychobehavioral systems that generate prototype emotional states in mammalian brains (for 1“ Big Pharma,” as big business, seeks antidepressants that may become billion-dollar blockbuster drugs. Accordingly, it may neglect drugs that are off-patent (e.g., buprenorphine) as well as those that only serve a small subset of the population. Many authors (ever since Valenstein, 1998) have argued that the pharmaceutical industry may be exercising an increasingly distorting influence on prescription and treatment landscapes for the whole of medicine in the United States. This may be particularly true in relationship to depression, where many depressed patients are never referred to psychotherapy and instead are only put on first-line antidepressant drug regimens under the simplistic aegis that depression is “just a chemical imbalance.” These trends take place despite evidence that pharmacology is often only partially effective in depression (see recent STAR*D reports: Rush, 2007; Rush, Trivedi, & Fava, 2003) and despite evidence that patients suffering from trauma-related depressions do quite poorly treated alone with psychopharmacology without psychotherapy. Depression: An Evolutionarily Conserved Mechanism? 9 detailed reviews, see Panksepp, 1998, 2005). Curiously, this long-standing neglect of potential relationships between depression and mammalian-brain emotional systems exists side-by-side with vigorous ongoing efforts to develop animal models for antidepressant drug discovery. Our lack of integrated understanding of depression is evident in the dozens of neurobiological correlates for depression, yet without any clearly defined etiological integration that might allow clinicians and researchers to link disparate facts to central generative mechanisms. So far, candidate “driving” mechanisms in depression are envisioned largely in neuromodulatory and biochemical terms. They include classic notions emphasizing some form of monoamine deficiency (Shieldkraut, 1965), cholinergic overactivity (Janowsky, El-Yousef, Davis, & Sekerke, 1972), hypothalamic–pituitary–adrenal (HPA) stress axis alterations (de Kloet, Joëls, & Holsboer, 2005; Holsboer, 2000) that may promote cell death or at least atrophic change in the hippocampus (Dranovskya & Hen, 2006), potential deficits in neuronal growth factors (Duman & Monteggia, 2006), and associated alterations in corticotropin-releasing factor (CRF), brain-derived neurotrophic factor (BDNF), and glucocorticoid receptors. A recent reappraisal of the role played by stress cascades has emphasized fundamental changes in the hippocampus associated with cortisol versus BDNF (Holsboer, 2000), coincident with the finding that antidepressants promote or restore neuronal proliferation and neuroplasticity in this brain region (see sections on neuroendocrine and neuroplasticity issues). Additionally there are more recent ideas emphasizing multiple alterations in other neuropeptide systems besides CRF, especially substance P, opioids, and oxytocin (Holsboer, 2003), as well as potential upregulation of dynorphin (the “dysphoric opioid”) reducing “reward” activity in the nucleus accumbens (Todtenkopf, Marcus, Portoghese, & Carlezon, 2004). There is also evidence for significant functional alterations in both glutamate and γ-aminobutyric acid (GABA). In short there exists a complex panoply of neuromodulatory changes in depression. In addition to these traditional bottom-up neurochemical perspectives, which often seem informed by a strong sense of neural reductionism (where psychological concepts about depression have taken a back seat), there has been increasing interest in the possibility that depression arises from fundamental changes in large-scale corticolimbic emotional networks (e.g., hyperactivity in Brodmann’s area 25—subcallosal cingulate—in severe refractory depressions; Mayberg et al., 2005). However any putative functional integration of all of these disparate candidate mechanisms is rarely if ever evident in the currently available literature. Here we focus on how the evolution and functions of basic emotional systems within the brain may help coordinate many disparate lines of thinking. We suspect that such integrative approaches may eventually help improve biological treatments of depression and better clarify and refine psychotherapeutic practices. It may also help coordinate the growing numbers of putative neurochemical correlates and causes into a more coherent theoretical framework than presently exists. A multifaceted separation-distress hypothesis of depression The many brain changes in depression may be differential manifestations—different “faces,” as it were—of a fundamental shutdown process, reflecting ancient and evolutionarily conserved mammalian brain mechanisms aimed at the termination of separation-distress responses triggered by social loss. In Bowlby’s (1980) terms, the shift from a “protest” to a “despair” phase following social losses suggests a conserved psychobehavioral shutdown mechanism that may initiate and promote depression. The evolutionary adaptation (i.e., “purpose”) of such a shutdown mechanism may have been the benefits of terminating protracted separation distress particularly in younger and infant mammals. Sustained separation distress (crying) might prove fatal, either by alerting predators to prey availability or by metabolically exhausting infants if they remained in a protracted panic phase. Analogously, the protest that follows the loss of other rewards, as well as other homeostatic losses (e.g., illness and chronic pain), may engender comparable types of depressive shutdown. Thus, there may be several variants of depression, although empirically validated subtypes of unipolar depression remain unavailable in the literature. Although depression as a syndrome may eventually be unpacked into several distinct subtypes, all subtypes presumably operate through a fundamental inhibition of the major social emotional systems of the brain—namely, within the PANIC/Separation distress, maternal CARE/Nurturance, LUST/Sexuality, PLAY/Social Joy (Panksepp, 1998, 2005), and SEEKING/appetitive systems (for recent reviews see Alcaro, Huber, & Panksepp, 2007; Panksepp & Moskal, 2008). From an evolutionary perspective, this shutdown mechanism may be self-terminating and time-limited (see section on separation distress), consistent with evidence that depressive episodes can be self-limiting even without treatment. Of course, self-limiting mechanisms to arrest the shutdown may fail in many 10 depressive disorders. But instead of a simple “chemical imbalance” being responsible for depression, evidence argues for changes in perhaps a dozen neurotransmitter systems, along with many associated intracellular events, to create a depressive cascade (Stone, Lin, Rosengarten, Kramer, & Quartermain, 2008). However, like any adaptive mechanism, this putative “shutdown” process can become disinhibited, hypertrophied, released from its normal control mechanisms, and subsequently recruited pathologically in the context of fairly minimal stresses or precipitants, yielding the diverse symptoms and variants of depressive illness. This hypothesis is advanced as a provisional synthesis, open to both further affirmation and falsification. In the closing section we will offer several critical predictions to test our hypothesis. Even though the seeds of this idea can be found in various places from Bowlby (1980) onward, a critical neuroscience evaluation of such a hypothesis is not available in the literature at this date. In this sense, we will argue that depression is fundamentally connected to social attachment, social status, and comfort, and its many vicissitudes. This is not a new idea, but the possibility that the fundamental neuroscience of depression could be better integrated under this affective neuroscience umbrella remains relatively novel in biological psychiatry, and we wish to give it an open hearing. Indeed, one of the oldest and recurrent correlations in the psychiatric literature is the association between depression and social attachment losses, first discussed in classic psychoanalytic literature by Sigmund Freud in “Mourning and Melancholia” (1917e [1915]) In sum, the position we advance in this article is that to understand depression, as well as many other psychiatric symptomatologies, we need to properly conceptualize the functional emotional networks of the brain and their imbalances (Panksepp, 1998, 2006). A mere brute-force cataloguing of dozens of neurochemical changes will probably not suffice. Although the neural network perspective of depression is gaining ground (Castrén, 2005; Harro & Oreland, 2001), few have tried to consistently conceptualize depression in more coherent psychological–evolutionary terms. The prevailing radical reductionism in mainstream psychiatry still envisions that one can go from molecules and brain details to psychiatric diagnostic categories, with no psychologically meaningful neuroscience of emotions in between, almost as if the psychological properties of the brain and its adaptive mandates are somehow irrelevant to the analysis. We believe that this is fundamentally incomplete, if not totally wrong, and here offer an alternative view. Unless we conceptualize basic brain emotional networks more clearly, Douglas F. Watt & Jaak Panksepp we will have a fundamentally fragmented image of the substrates of depression, how they interact with higher cognitive regulatory processes, and how various forms of treatment might provide optimal help. Thus, here we will offer an evolutionary view of depression that remains to be fully developed in the literature, but one fully testable empirically. In our closing section we will offer several testable predictions deriving directly from our core hypothesis. Evolutionary views of depression Evolutionary perspectives on depression have not been prominently featured in mainline psychiatric journals, with the first major volley occurring just at the beginning of this new century. Neese (2000) argued that depression might serve several adaptive purposes including communicating a need for help, as well as signaling submission in social hierarchy conflicts where one has little chance of winning and considerable chance of losing or being injured (Malatynska & Knapp, 2005). Thus, depression may provide a mechanism for disengagement from unreachable goals and for regulating patterns of maladaptive emotional investment. The idea that social loss leads to depression was articulated in the 1970s–1980s (Bowlby, 1980; Reite, Short, Seiler, & Pauley, 1981) but remained without neuroscientific foundations until recently. Since then, several other contributions, following themes advanced by Nesse, have emphasized that brain mechanisms promoting depressive states must have evolutionary bases, otherwise they would not exist. More recently, Keller and Nesse (2006) have argued that not only was there selection for depressive mood, but also that depression may come in subtypes according to the particular types of adaptive challenges for which an organism has no ready solution. They argue, along with others (e.g., Panksepp, Burgdorf, Beinfeld, Kroes, & Moskal, 2004; Panksepp, Yates, Ikemoto, & Nelson, 1991) that various types of social losses are unique, with perhaps different forms of depression forming around each type of challenge. Nesse and colleagues argue that low mood may actually increase an organism’s ability to cope with adaptive challenges, especially when sustained efforts to pursue difficult goals may result in danger, loss, injury, or wasted effort. In such situations, depressive pessimism and lack of motivation may provide a fitness advantage by virtue of inhibiting actions when one has inadequate resources or plans, particularly when challenges to dominant figures may be hazardous. Depression could thus help terminate risky or damaging dominance conflicts. Depression: An Evolutionarily Conserved Mechanism? 11 These arguments are complementary to our main hypothesis, which focuses on the adaptive value of terminating protracted separation distress, especially for young and vulnerable infants. Although the idea that early-life vicissitudes predispose organisms to depression is now a well-established theme (e.g., Heim & Nemeroff, 1999; Pryce et al., 2005), much of that literature is only linked to putative changes in the HPA stress axis, often with little consideration for a primary role by brain systems promoting attachment and separation distress. Separation distress is indeed intimately coordinated with the generalized HPA stress response that has been a mainstay of depression research, in humans as well as in animal models (Henn & Vollmayr, 2005; Keck, Ohl, Holsboer, & Muller, 2005; Maier & Watkins, 2005). Shutdown mechanisms activated in early-life separation-distress episodes could be recruited later in life in relation to social losses experienced in dominance hierarchy conflicts. Indeed, it seems likely that evolution would select a mechanism if it could “kill several birds with one stone,” so to speak. various noradrenergic and serotonergic antidepressant drugs, resulting in significantly more synaptic availability of biogenic amines in forebrain areas within hours of ingestion (Delgado, 2000, 2004). Antidepressant efficacy for these classic amine facilitators occurs weeks later, and although one classical viewpoint has been that the therapeutic effects are associated with an active downregulation of receptors and/or their active pruning in the forebrain, more recent hypotheses have focused on a variety of neuronal growth factors (Stone, Lin, & Quartermain, 2008; Stone, Lin, Rosengarten, Kramer, & Quartermain, 2003). In addition to older hypotheses emphasizing the role of norepinephrine and serotonin, more recently monoamine perspectives have increasingly focused on dopamine as well, particularly given its superordinate role in motivated behavior (Alacaro, Huber, & Panksepp, 2007; Berridge, 2007; Ikemoto & Panksepp, 1999; Panksepp, 1998; Panksepp & Moskal, 2008). Also, there is now mounting evidence that multiple other neurotransmitter systems, including GABA, glutamate, and multiple neuropeptides (CRF, substance P, cholecystokinin, dynorphin and other opioids, and oxytocin), may also be centrally involved in depression. Many of these aminergic and peptidergic neurotransmitters systems intimately coregulate each other in ways still incompletely understood (see section on neuromodulatory interactions), adding layers of complexity to any purely neuroscientific understanding and treatment of depression (Norman & Burrows, 2007; Stone, Lin, & Quartermain, 2008; Wong & Licinio, 2001). Additionally, much thinking about depression is restrictively guided by how depression is related to important alterations of the HPA axis (e.g., hypercortisolemia, which promotes hippocampal atrophy); it is rarely made clear how such changes may be related to the affective changes of depression (Drew & Hen, 2007; McEwen, 2004; Warner-Schmidt & Duman, 2006). In addition to these more traditional bottom-up neuromodulatory perspectives, the neuroscientific and clinical literature on depression has also increasingly focused on the possibility that depression may reflect some kind of fundamental alteration in corticolimbic networks, and such network perspectives are crucial given the evidence that changes in conscious state and mood must reflect relatively global neurodynamic phenomena (Watt & Pincus, 2004). However, since we do not have a clearly validated theory of conscious state, we do not yet have an accepted understanding for how mood and baseline emotional states (as fundamental parameters of consciousness) are instantiated in the brain. Recent work suggests that mood and self-related emotional information processing probably reflects A neuroscientific overview of depression Aside from the general acceptance that life stress is a prominent factor in the genesis of depression (e.g., among many others, see Holsboer, 2000; Vollmayr & Henn, 2003), the largest “bin” in the neurobiology of depression “box” would clearly be neurotransmitter perspectives, and, classically, the earliest hypotheses about depression centered on the first three monoamines characterized in the brain—norepinephrine, serotonin, and dopamine—along with the first transmitter discovered in the brain back in the 1920s, acetylcholine. The monoamine deficiency hypothesis, with a focus on norepinephrine deficits, is the oldest neurochemical hypothesis about depression (Schildkraut, 1965; for an updating, see Harro & Oreland, 2001). However, simple aminergic deficiency as an explanatory hypothesis has fallen by the wayside, in the context of enormous evidence that depression is significantly more complicated than a simple deficiency state in any monoaminergic system, singly or even collectively (for summary of history, see Healey, 1997). The strongest data pointing against a simple noradrenergic (NE)/5-HT deficiency hypothesis are: (1) the failure of norepinephrine or serotonin synthesis inhibition to simulate classic depressive symptoms in normal individuals, even though it can diminish mood in recently depressed individuals (Delgado et al., 1990); and (2) the lack of rapid amelioration of depression following the rapid onset of reuptake inhibition of 12 changes and dynamics within highly distributed medial subcortical–cortical networks (Northoff & Panksepp, 2008; Panksepp & Northoff, 2009). Regions of interest in such distributed network formulations would centrally include the prefrontal systems, the hippocampus, the ventral or limbic stratum, particularly the shell of the nucleus accumbens/olfactory tubercle, along with several other subcortical limbic and paleocortical paralimbic structures, including periaqueductal gray (PAG) (Liotti & Panksepp, 2004; Northoff et al., 2006). Such a network effect is seen when stress reduces reward-SEEKING urges through a global reduction of mesolimbic dopamine transmission, partly by the capacity of dynorphin to make this whole hedonic network less responsive (Nestler & Carlezon, 2006). Considered jointly, these distributed network and neuromodulatory perspectives suggest that depression may reflect global changes in large-scale reticular–limbic–cortical networks critical to SEEKING and exploratory behavior and critical also to attachment behaviors. These multifactorial neurobiological perspectives, in our judgment, have to be integrated with the long-standing (indeed, centuries-old) intuitive insight that depression is fundamentally related to the brain’s reaction to emotional/social loss, particularly losses where the subject feels a keen helplessness to mitigate the loss, or where the loss is particularly penetrating and hurtful (see section on psychodynamic issues and depression). We will review these diverse literatures not with the goal of maximum depth of coverage of the neurobiological details, which is enormous, but instead with an eye toward a heuristic (“big picture”) summation and in order to highlight potential lines of evidence supporting our core hypothesis that depression reflects an ancient mammalian mechanism to protect a vulnerable social brain from the potentially fatal consequences of protracted separation distress. A critical review of DSM-IV criteria for major depressive episode Like every syndrome in DSM-IV (APA, 1994), there are no objective or laboratory diagnostic tests for the presence of depression, even though abundant brain abnormalities at both the structural and the biochemical level have been demonstrated, some of which can be corrected by shifting network dynamics with deep-brain stimulation (Mayberg et al., 2005). Indeed, given the lack of bona fide objective tests for depression beyond this compilation of symptoms approach, there is probably no absolutely clear line distinguish- Douglas F. Watt & Jaak Panksepp ing someone with a mild form of clinical depression from those of us who are simply having a difficult time in the course of our day-to-day existence and are simply moderately dysphoric. This may further underline, however, the ubiquitous nature of depressive-spectrum phenomena. The DSM-IV criteria for Major Depressive Episode are the following: A. Five (or more) of the following symptoms have been present during the same 2-week period and represent a change; at least one of the symptoms is either (1) depressed mood or (2) loss of interest or pleasure. (Note: Do not include symptoms that are clearly due to a general medical condition, or mood-incongruent delusions or hallucinations.) 1. Depressed mood most of the day, nearly every day, as indicated by either subjective report (e.g., feels sad or empty) or observation made by others (e.g., appears tearful). Note: In children and adolescents, can be irritable mood. 2. Markedly diminished interest or pleasure in all, or almost all, activities most of the day, nearly every day (as indicated by subjective account or observation). 3. Significant weight loss when not dieting or weight gain (e.g., a change of more than 5% of body weight in a month), or decrease or increase in appetite nearly every day. Note: In children, consider failure to make expected weight gains. 4. Insomnia or hypersomnia nearly every day. 5. Psychomotor agitation or retardation nearly every day (NED) (observable). 6. Fatigue or loss of energy NED (nearlyevery day). 7. Feelings of worthlessness or excessive or inappropriate guilt (may be delusional) (not merely self-reproach or guilt about being sick) NED. 8. Diminished ability to think or concentrate, or indecisiveness, NED (either by subjective account or as observed by others). 9. Recurrent thoughts of death (not just fear of dying), recurrent suicidal ideation without a plan, or a suicide attempt or a specific plan for committing suicide. B. The symptoms do not meet criteria for a Mixed Episode. C. The symptoms cause clinically significant distress or impairment in social, occupational, or other important areas of functioning. D. The symptoms are not due to the direct physiological effects of a substance (e.g., a drug of abuse, a medication) or a general medical condition (e.g., hypothyroidism). E. The symptoms are not better accounted for by bereavement. [APA, 1994, p. 56] Depression: An Evolutionarily Conserved Mechanism? 13 There are several issues worth noting in regards to these criteria. First of all, the criteria cut across the entire hierarchy of functional domains in the brain (cognition, emotion, homeostasis) and involve cognitive disruption (especially criteria #8 and, to a lesser extent, #9), obvious changes in emotion/mood (criteria #1, #2, # 7, #9), and altered homeostasis (criteria #3 through #6, with sleep and appetite typically disrupted, but also sexual functioning, endocrine status, and, even more recently appreciated, immune status, all altered in depression). This suggests that the fundamental mood-altering mechanisms in depression have a wide reach or, alternatively, that the fundamental depressive alterations in emotion and mood are fully capable of generating downstream changes in both “superordinate” cognitive functions as well as “subordinate” homeostatic processing. That primary-process affective changes within the organism can profoundly gate or alter cognitive activities is predicted by recent neural models for emotion (Panksepp, 1998). Core criteria emphasize either (1) depressed mood or (2) loss of interest or pleasure as required for the diagnosis of Major Depression. Unfortunately, the notion of a “depressed mood” as a central diagnostic criterion for depression remains somewhat circular. Also unfortunately, the criteria fail to make a careful distinction between sadness and depression, using them as rough synonyms, a recurrent problem in the psychiatric literature. We would argue instead that these states have to be viewed as distinct, albeit potentially related. They are commonly conflated in part because they are found together in many instances. In other words, patients are simultaneously both sad as well as depressed, a coincidence of states underlining that depressions are often reactions to losses, although many depressions, especially retarded or severe ones, show no sadness whatsoever, suggesting that sadness is actually terminated by deepening depression, supporting our core hypothesis. However, this question of both a critical differentiation of and relationship between sadness and depression is one that we will explore in greater detail later in our discussion of separation-distress systems. Additionally, we would argue that the core criteria of depressed mood necessarily indexes a fundamental loss of hopefulness—in other words, that “depressed mood” means an intrinsically less hopeful mood. Indeed, in our judgment, it is a curious omission that hopelessness is not specified at all in the DSM-IV criteria, even though despair and loss of hope probably have a quite fundamental connection to suicidal ideation and wishes to die. Earlier DSM II–III criteria did reference hopelessness, but, for uncertain reasons, this notion has been pulled out of the more recent versions of DSM diagnostic criteria. Although “hopefulness” is not easily defined and operationalized (perhaps leading recent revisers of the DSM to drop hopelessness as a criterion), hopefulness is traditionally contrasted with its antonyms, hopelessness and despair. Although depression is, in a sense, more complex than simple despair, these considerations suggest intrinsically close linkages between loss of hope and depression. Perhaps one of the clearest operational indices of hopefulness may be an organism’s willingness to struggle with adversity. Indeed, this ability to struggle with adversity without giving up pursuit of rewarding activities may directly index a fundamental emotional resilience and resistance to depression. This connection between hopefulness and a willingness to struggle is implicit in one of the most important behavioral tests of antidepressants and resistance to depression in the animal literature: the “forced swim test.” In this very important sense, depressed individuals lose their fundamental willingness and ability to struggle with challenging circumstances and basically “give up.” This “giving up” of core organism goals is a fundamental dimension to depression that any candidate theory must at least attempt to explain, and it certainly suggests that depression must have fundamental inhibitory effects on basic motivational systems in the brain, especially the complex brain network “engergized” by the ventral tegmental mesolimbic dopamine system (conceptualized in Panksepp, 1998, as a generalized motivational arousal, or SEEKING, system). Indeed, if our core hypothesis about depression is correct—namely, that it emerges from an evolutionarily selected mechanism to terminate protracted separation distress—such a putative shutdown mechanism would have to feedback on central motivational arousal mechanisms in the brain and attenuate significantly the ability of those mechanisms to energize behavior. The second core criterion in DSM-IV for major depression (after “depressed mood”) is anhedonia and loss of interest. Interest in a wide variety of stimuli and pursuits in the world, and the anticipation of reward, may both be intrinsically related to the operation of the ventral tegmental mesolimbic-mesocortical SEEKING system (Panksepp, 1998) as well as to the social rewards obtained by low activity in separation-distress PANIC systems and high activity in social CARE and PLAY systems. Taken together, this suggests that depression may fundamentally disrupt both the anticipation and the pursuit of rewards (“interest”), along with a diminished ability to experience pleasure, even when rewards are available and obtained. We would 14 Douglas F. Watt & Jaak Panksepp argue that this loss of interest and anhedonia are also fundamental phenomena that any heuristic theory must attempt to explain. Although loss of interest and loss of pleasure are treated as one entity in this important criterion, evidence suggests that these are probably somewhat separate issues, with perhaps one that is more dopamine-mediated, and the other more opioidergic (for a thorough review, see Berridge, 2004). None of the subsequent seven criteria after these first two are necessarily required for the diagnosis of depression, but one must have at least four of the other “subordinate” criteria and either depressed mood or loss of interest/pleasure to meet diagnostic criteria. This approach (“at least one from column A” and “at least four from column B”), with two core criteria and seven secondary criteria, allows the DSM-IV diagnostic criteria to at least partially cover the challenging heterogeneity of depression, without prematurely committing to a subtyping paradigm (when subtypes are still not completely understood or extensively validated in the literature). terations in aminergic projection systems, alterations in forebrain receptors systems, and alterations in mood and behavior remain both confusing and challenging, with many questions remaining about precisely what is causing what. Newer amine-centered conceptions about depression attempt to integrate many of these correlations under general concepts such as “spreading adjustment disorder of monoaminergic neurons” (Harro & Oreland, 2001), or equally ambiguous notions about depression reflecting a “cortical-limbic dysregulation.” Although these general notions avoid previous oversimplifications (that depression emerged from a simple “shortage” of monoamines), they are often so general as to lack heuristic value. Indeed, one might ask what nosological entity in psychiatry does not present potentially as “corticolimbic dysregulation” or show an “adjustment disorder” of monoaminergic neurons? However, with all these qualifications, it is clear that aminergic perspectives remain a critical, if still confusing, piece of the puzzle in our attempts to understand depressive states. Neuromodulatory perspectives: biogenic amines, acetylcholine, and amino acids Noradrenergic issues From the standpoint of the fundamental neurobiology of depression, neuromodulatory perspectives clearly constitute the largest and most substantive scientific “bin” in the literature. Most antidepressant drugs modulate three major amine systems—serotonin, dopamine, and norepinephrine—and this includes newer selective serotonin reuptake inhibitors (SSRIs) as well as older monoamine oxidase (MAO) inhibitors and tricyclic antidepressants, although the vast majority of agents used in modern psychiatry primarily affect serotonin and/or norepinephrine. Although a comprehensive and detailed review of literature covering all neuromodulatory perspectives in depression is beyond the scope of this article, a brief summary of the literature will highlight several fundamental issues and questions. Of these neuromodulatory perspectives, the monoamine efficiency hypothesis is the oldest hypothesis of depression (Shildkraut, 1965). However, simple deficiency models (initially focused on norepinephrine and serotonin) have fallen by the wayside, as evidence has accumulated that the changes in aminergic systems associated with depressed mood cannot be conceptualized in terms of simple chemical deficiency. However, despite an enormous base of literature documenting abundant correlations between depression and various changes in these three amine systems, attempts to decipher precise relationships between al- Of all the monoamine systems, correlation between changes in noradrenergic circuitry and depression is probably the oldest and largest thread in the literature, and, in a recent encyclopedic review of hundreds of studies, Harro & Oreland (2001) advanced the valuable (but debatable) argument that although depression might reflect a “spreading adjustment disorder” in multiple monoamine systems, dysfunction in the locus coeruleus (LC) was the primary and generative “fault line.” We have known for some time that the LC/lateral tegmental areas (the two main NE projection nuclei) show a tonic pacemaker activity with phasic bursts, with increased firing rates during arousal or stress, decreasing activity during slow-wave sleep, and largely deactivation during REM sleep (Hobson, PaceSchott, & Stickgold, 2000). There is evidence that in depression either the projection system or forebrain responsiveness to the projection system—or probably both—show fundamental alterations. The original insight about the importance of the norepinephrine system in depression was prompted by serendipitous observations about the now-classic induction of depression from reserpine (which blocks monoamine storage). However, only a modest percentage of patients taking reserpine became depressed, suggesting that the drug elicits some kind of systemic vulnerability in a fraction of individuals rather than NE depletion being any version of a simple and invariable Depression: An Evolutionarily Conserved Mechanism? 15 cause. Rapid depletion of NE in patients on NE-facilitating antidepressants can provoke relapse, particularly in those who have recently suffered depression, but not in normal individuals (for a review of difficulties with early biogenic amine deficit theories of depression, see Nestler, 1998). Depressed patients often show increased tyrosine hydroxylase (the rate-limiting enzyme in synthesis of NE suggesting increased demand), decreased NE transporter binding, and increased binding to α2/β receptors. Reserpine also increases TH (tyrosine hydroxylase) expression, suggesting that it provokes increased NE demand and/or decreased availability and also leads to increased α2 binding/ proliferation (Flügge, van Kampen, Meyer, & Fuchs, 2003; Ordway, Schenk, Stockmeier, May, & Klimek, 2003). On the other hand, SSRIs and serotonin/norepinephrine reuptake inhibitors (SNRIs) downregulate tyrosine hydroxylase and α2/β adrenoceptors (both apparently upregulated in patients with depression), and these drugs appear to generate a decrease in overall demand for norepinephrine and a quieting of LC activity (Weiss, Blier, & de Montigny, 2007). Perhaps the strongest data point for the classical argument linking the noradrenergic system and depression was the discovery that antidepressants caused downregulation of noradrenergic receptor density and sensitivity coincident with their therapeutic onset, particularly downregulation of beta NE receptors (Baker, Coutts, & Greenshaw, 2000). Additional supportive findings are increased β-adrenoceptors and 5-HT2 receptors, along with fewer neurons in rostral LC, in suicide victims relative to controls (Mann, 2003). However it is unclear whether these findings in suicide relate to severity of depression primarily or to depression further compromised by poor impulse control. Additionally, “learned-helplessness” animal models (such as uncontrollable foot shock) show increased NE release, suggesting that chronic stresses that an individual cannot mitigate may lead to the noradrenergic system being chronically overdriven, and this may recruit a number of compensatory mechanisms leading to depression. A very different point of view on norepinephrine function in depression has been suggested by newer work that has implicated a subgroup of brain α1B-adrenoceptors as a key factor in positively motivated behavioral activity (Stone et al., 2003). These “motoric” α1-receptors are located in or close to monoaminecontaining neuron cell bodies or their major targets (such as nucleus accumbens for the dopamine system) and actually utilize epinephrine (EPI) as their primary neurotransmitter. Stone and colleagues hypothesized that this “EPI-innervated-α1-system” activates behav- ior by generating a coordinated and relatively simultaneous excitation of the major monoaminergic systems of the brain. They found evidence that this epinephrine activation system may be impaired or pathologically inhibited in depressive illness (findings of altered responsiveness of brain α1-receptors in depressed patients and low levels of EPI in the cerebrospinal fluid, CSF). They also speculated that this impairment may help to foster central nervous system (CNS) brain atrophic effects documented in depression, due to linkages to mitogen-activated protein kinase (MAPK) activation and growth-factor induction. This would also suggest some interesting functional parallels between this component of the noradrenergic system and dynorphin, which inhibits mesolimbic dopamine activation (see section on kappa opioids). However, even this conceptual updating of the classic monoamine-deficiency hypothesis faces stiff challenges from key findings. First, a major weakness in adrenergic-centered viewpoints on depression is that most studies have not found any reduction in the brain concentrations of norepinephrine or its metabolites that could be unequivocally correlated with depressed mood (although bipolar patients typically show lower noradrenergic metabolites during depressed phases). Additionally, monoamine-depletion studies in healthy volunteers have not supported the idea that low levels of norepinephrine invariably lead to depression, except perhaps in a subset of vulnerable subjects (the abundant data in this area are well summarized in various mood disorder chapters in Charney, Nestler, & Bunney, 1999; for thorough historical perspectives, see Healy, 1996). One of the most critical and potentially paradigm-shifting studies with respect to the monoamine hypothesis of depression was by Delgado and colleagues in the early 1990s. They found that dietary depletion of neither serotonin nor norepinephrine creates depressive symptoms in most individuals. However, in patients that previously responded to selective norepinephrine reuptake inhibitors, dietary norepinephrine depletions could readily cause the appearance of clinical symptoms (Delgado, Price, Heninger, & Charney, 1992). Paralleling these studies on human subjects, classic work on animals suggests that many mammals can show grossly normal behavior and no obvious alterations in affective behaviors in spite of very low norepinephrine (and other amine) levels (Haggendal & Lindqvist, 1964). In terms of the primary impact of noradrenergic drugs on depression, why downregulation of receptor sensitivity or pruning of noradrenergic receptors would correlate clearly with an elevation of mood remains poorly specified. An additional challenge to noradrenergic-centered points of view on depression has been 16 the recent discovery in one important animal model (Monteggia et al., 2004) that blocking the effect that noradrenergic and serotonergic antidepressants have on the upregulation of BDNF prevents antidepressant efficacy in these drugs. Last but not least, noradrenergic antidepressants have little to no effect on elevating or indeed altering at all the baseline mood in subjects without depression, suggesting that they do not really impact mood neurochemistry directly and that noradrenergic dysfunctions must operate in concert with a host of other brain changes. Likewise, it is generally believed that serotonergic antidepressants also do not affect the mood of euthymic individuals, but careful studies indicate that facilitation of serotonin makes normal people more “laid back,” less aggressive, and more socially affiliative (Knutson, Wolkowitz, Cole, Chan, & Moore, 1998). It is possible that comparable careful studies with noradrenergic agents may reveal comparable mood effects. An overall model suggested by these findings may be that depression is potentially associated with a long period of increased NE demand and overdrive, possible NE depletion including an epinephrine component emphasized by Stone et al. (2003), and subsequent compensatory changes in both the projection system and in forebrain receptor populations. Most theorists and reviewers now agree that depression can be conceptualized not simply in terms of simple NE deficiency but, rather, in terms of a still poorly understood global shift within NE systems possibly characterized by increased receptor sensitivity and/or proliferation. In any event, although changes in the NE system are no doubt important in depression, NE “tone” and the functional state of both the LC projection system and various forebrain receptors continue to have rather murky and uncertain direct correlations with affective and behavioral state, suggesting that theories of depression attempting to explain characteristic depressive changes in mood, affect, and behavior must consider and incorporate other perspectives. Serotonergic issues Although the serotonin system is the neuromodulatory system most people associate with depression (partly through relentless and effective drug company advertising), evidence for a direct link between serotonin, affective state, and depression is only modestly stronger than the data supporting a primary role for norepinephrine. Interest in the serotonin system in depression began almost as early as interest in the noradrenergic system, coincident with the serendipi- Douglas F. Watt & Jaak Panksepp tous discovery that tricyclic drugs that affected both serotonin and norepinephrine reuptake or blocked their metabolism by inhibition of MAO were effective antidepressants (see Healy, 1996). Due to a number of side effects of the MAO inhibitors (especially dietary restriction of foods containing tyramine) and cognitive and cardiac side effects of the older tricyclic drugs, these two classes of medicines have been largely superseded by SSRIs. Many classic studies have found abnormal levels of serotonin metabolites (5-HIAA) in blood, urine, and CSF in depressed patients, along with decreased plasma tryptophan levels (Coppen, Eccleston, Craft, & Bye, 1973; Cowen, Parry-Billings, & Newsholme, 1989), both suggesting decreased central serotonergic drive and metabolism. Additionally, brain imaging studies (Drevets et al., 1999; Sargent et al., 2000) have reported a reduction in 5-HT1a receptor binding—both pre- and postsynaptically, in the raphe as well as in medial temporal areas—that may be a marker of vulnerability to depression, as this apparently does not normalize after remission of depression. Although the precise basis for this serotonergic deficiency in depression is still uncertain, evidence suggests an immune-system connection, arguing that a cytokine-induced IDO (indolamine dioxygenase)mediated decrease in tryptophan may lead to a serotonergic deficiency (Muller & Schwartz, 2007). Additionally, both depressed as well as remitted subjects show blunted neuroendocrine responses (cortisol and prolactin) to drugs stimulating serotonergic turnover such as fenfluramine (Flory, Mann, Manuck, & Muldoon, 1998; Kapitany et al., 1999), suggesting decreased serotonergic responsiveness, possibly pointing to state/trait relationship issues, with a trait of decreased serotonergic function likely putting patients at risk for the state of depression (Bhagwagar, Whale, & Cowen, 2002). One of the most detailed reviews to date of the serotonergic system and depression (Jans, Riedell, Marcus, & Blokland, 2006) interpreted these and many other similar kinds of findings as supportive of the concept of “serotonergic vulnerability” in depression. However, Jans and colleagues acknowledge that not all depressed patients show significant abnormalities in serotonin systems and that the earlier “categorical” view that low serotonin was specific for depression is now simply outdated. They advocate for a “dimensional approach” similar to ours, in which serotonergic hypofunction places patients at risk for a broad spectrum of mood and affective regulation issues across multiple DSM-IV categories, including depression, anxiety disorders, impulse control disorders, etc. From this perspective, low serotonergic neurotransmission, Depression: An Evolutionarily Conserved Mechanism? 17 whether due to genetic or to environmental factors (or both), operates as a significant biological risk factor for depression, as well as for other disorders of affective regulation. Jans and colleagues argue that serotonergic vulnerability can be demonstrated by challenging the system particularly with tryptophan depletion but also with neuroendocrine probes. Further support for this general point of view emerges from work by Flory, Manuck, Matthews, and Muldoon (2004), who found a positive correlation between baseline serotonergic tone, indexed by prolactin release to serotonin facilitation with fenfluramine, and baseline mood, suggesting that serotonergic deficiencies may put individuals at risk for mood regulatory disorders. In general, this idea is consistent with the well-established preclinical findings that serotonin generally dampens every active emotional and motivational process, while facilitating sleep. Also consistent with this set of assumptions have been studies trying to identify genes that predispose to depression. Studies have found some evidence for an association between a polymorphism affecting the serotonin transporter gene-linked promoter region and depression, with subjects having the short form of the allele being more vulnerable to depression, and the brain changes that may account for this (increased sensitivity of limbic negative-affect circuits) have been characterized by Pezawas et al. (2005). Although a less efficient serotonin transporter might be presumed similar in its effects to a pro-serotonin drug, lower serotonergic uptake caused by the short form of the allele may theoretically result in increased serotonin binding to auto-receptors in the raphe that would exert a negative feedback on global serotonergic transmission. Supporting this assumption, combined treatment with 5-HT1a (auto)receptor blockers and SSRIs compensated for the typically worse antidepressant effect of SSRIs in genotypes showing at least one short form of the serotonin transporter allele (Smeraldi et al., 1998). This suggests that the short form of the serotonin transporter allele decreases tonic output of the projection system via auto-receptor effects. The most compelling and robust clinical correlation between depression and serotonergic issues appears between low serotonergic tone and impulsivity and risk for suicide (Mann, 2003), including evidence that a polymorphism producing proliferation of 5-HT1a auto-receptors (presumably leading to lower overall tonic activation of the serotonin system) predisposes to depression and suicide (Lemonde et al., 2003). Indeed, serotonin may exercise a general affective regulatory influence within the CNS, allowing the brain to bet- ter modulate and inhibit emotion, while a subset of serotonin receptors (5-HT2) appears critically involved in a poorly defined aspect of negative emotions (Celada, Puig, Amargós-Bosch, Adell, & Artigas, 2004; Panksepp, 1998). Consistent with this, there has been a finding of downregulation of 5-HT2 in animal models after long-term treatment with serotonergic reuptake inhibitors, with this appearing within the 1- to 3-week window for therapeutic efficacy of these drugs in human clinical populations, suggesting that this effect may be correlated with onset of therapeutic efficacy. Since sleep problems are common in depression and often constitutive, it is intriguing that certain drugs can concurrently promote melatonergic facilitation of sleep and also block 5-HT2 receptors (Zupancic & Guilleminault, 2006). Analogous to the findings with norepinephrine, dietary depletion of serotonin fails to produce depression in the majority of subjects, with the exception of a vulnerable subset of individuals. Directly analogous to the findings with norepinephrine, patients that had previously responded to a SSRI showed a significant incidence of clinical regression when serotonin was depleted through diet (Delgado et al., 1990). This suggests that, like norepinephrine, the serotonin system may play a critical role in depressive cascades for some individuals but not for others. However, as with norepinephrine, compelling data linking the state of the serotonin system and mood in a direct fashion are equivocal. Additional challenges for classic monoamine theories reside in recent work suggesting that both noradrenergic and serotonergic antidepressants may have their primary therapeutic effects mediated through upregulation of BDNF. Brain monoamines such as 5-HT and NE seem to be critical mediators of antidepressant-induced TrkB activation (the primary BDNF receptor) promoting upregulation of BDNF (Calabrese et al., 2007). A final and stunning challenge to aminecentered points of view comes from actions of a new atypical antidepressant, tianeptine (marketed as Stablon in Europe), which appears to actually accelerate or enhance rather than inhibit serotonin reuptake (although there is controversy about whether its therapeutic efficacy is from this property or may be attributable to other yet-unknown effects). This all suggests that, as with norepinephrine, alterations in serotonin systems—even the accepted notion of downregulation and pruning of serotonergic and/or noradrenergic receptors—cannot be elevated to any version of a “linchpin mechanism” in depression but are, perhaps, part of a cascade, including genetic vulnerability factors (Pezawas et al., 2005). Although many if not virtually all 18 antidepressants affect norepinephrine and serotonin, their primary therapeutic effects may indeed be via modulation of classical stress cascades (for an excellent review, see de Kloet, Joëls, & Holsboer, 2005) as well as their ability to modulate arousal in all known primary-process emotional and motivational systems of the brain. From a more strictly neuroscience perspective, although the serendipitous finding of antidepressant efficacy in MAO inhibitors and tricyclics initially pointed psychiatry in the direction of serotonin and norepinephrine modulatory effects, it may be that therapeutic potency is effected through downstream changes in key peptide and neurotrophin systems, not to mention facilitated neurogenesis in brain regions such as the hippocampus. This is consistent with conclusions by Delgado (2000), who argued that while intact noradrenergic and serotonergic systems appear to be required for antidepressant drug efficacy in SSRIs and SNRIs, norepinephrine and serotonin realistically could not be considered the final common pathway of action for our current amine-based antidepressants. These complexities suggest that broader and more integrative theories of depression need to look beyond serotonin and norepinephrine, without neglecting their likely contribution to the overall brain-network dysfunctions that characterize depression (Stone, Lin, & Quartermain, 2008). Dopaminergic issues In general, until recently, dopamine has taken a backseat in the depression literature to serotonin and norepinephrine, but it started to garner more attention when it was found both that relatively selective dopamine reuptake inhibitors, such as bupropion, were highly effective in some depressed individuals and that various noradrenergic and serotonergic drugs also regulated mesolimbic dopamine activity. Since then, dopamine has attracted increasing interest as researchers and clinicians have realized the central role dopamine plays in all motivated behavior and the former have struggled to model anhedonia and loss of motivation as essential depressive phenomena (Barr, Markou, & Phillips, 2002; Nestler & Carlezon, 2006). Although the ventral tegmental dopamine neurons and their associated mesolimbic and mesocortical projections are often mistakenly referred to as “the pleasure–reward system” in the brain, much work has made it clear (see Berridge, 2007; Ikemoto & Panksepp, 1999; Panksepp, 1998) that this system promotes a generalized motivational Douglas F. Watt & Jaak Panksepp arousal and the seeking of rewards and is not neurally underpinning pleasures associated with their consummation. Indeed, the evidence is now compelling that the pleasure of consummation has comparatively little to do with central dopaminergic processes and, instead, may have much more to do with the opioidergic tone within a distributed network of systems involving the accumbens shell, the ventral pallidum, parabrachial areas, and perhaps other basal forebrain regions (Berridge, 2004, 2007). In any case, recent work suggests that particularly in retarded depressions or depressions with severe abulia, the ventral tegmental system is not operating normally. A variety of animal models of depression have emerged from the increasing recognition that dopamine may be critical for euthymia, including ones related to animal responsivity to novelty (Bevins & Besheer, 2005), changes in the threshold of self-stimulation reward (Leith & Barrett, 1980), withdrawal from sustained treatment with amphetamines (Barr & Markou, 2005), as well as the recognition that depressogenic peptides such as dynorphin robustly inhibit mesolimbic dopamine functions in the brain (Nestler & Carlezon, 2006). Indeed, various forms of stress, ranging from forced swimming to social defeat, produce a depressive phenotype by facilitating brain dynorphin activity especially in dopamine “reward” systems (McLaughlin, Li, Valdez, Chavkin, & Chavkin , 2006; McLaughlin, Marton-Popovici, & Chavkin, 2003) (see section on kappa opioids). Thus, a reduction of dopamine activity seems highly likely to be a prominent aspect of depression, and it may underpin the amotivational state that typically accompanies most depressive disorders. Cholinergic issues Cholinergic systems have been identified with dysphoria by virtue of their promoting aversion and distress vocalizations in animal models, especially in subcortical basal forebrain and anterior hypothalamic regions of the brain (Brudzynski, 2007). Social stress can increase cholinergic activity in brain regions such as the PAG where many negative affective systems converge (Kroes, Burgdorf, Otto, Panksepp, & Moskal, 2007). An older hypothesis about depression is that depression reflected changes in the relationship between amine and cholinergic systems (Janowsky et al., 1972), with suggested genetic markers for depression (Janowsky, Overstreet, & Nurnberger, 1994). A line of rats genetically selected for high cholinergic activity, the Flinders Sensitive Line (FSL), has proved to be a Depression: An Evolutionarily Conserved Mechanism? 19 useful animal model of depression (Overstreet, Friedman, Mathé, & Yadid, 2005). The FSL rat partially resembles depressed individuals in terms of showing reduced appetite and psychomotor function, along with sleep and immune abnormalities similar to those observed in depressed individuals. However, this is not a completely convincing animal model due to showing no signs of anhedonia or cognitive deficits. FSL rats exhibit changes consistent with dopaminergic, serotonergic, cholinergic, NPY (neuropeptide Y), and circadian rhythm models of depression but not HPA-axis, noradrenergic, or GABAergic models of depression (Overstreet et al., 2005). However despite this quite partial fit with human clinical data, the FSL rat model has been used to screen for antidepressants and has been effective in detecting several novel antidepressants, suggesting at least decent face validity. An interesting recent probe of a cholinergic hypothesis of depression was completed by Furey and Drevets (2006), who found that infusions of scopolamine to block muscarinic acetylcholine receptors yielded rapid and robust antidepressant effects without significant autonomic or cognitive side-effects, although such studies have not yet controlled for REM sleep deprivation coming from cholinergic blockade. It has been known for quite some time that REM sleep deprivation is a very effective antidepressant, and recent work even suggests a single night of REM deprivation can promote hippocampal neurogenesis (Zucconi, Cipriani, Balgkouranidou, & Scattoni, 2006), one of the candidate mechanisms that may contribute to pharmacological antidepressant effects (Dranovsky & Hen, 2006; Jacobs, Praag, & Gage, 2000), and REM disruption indeed may account for the efficacy of anticholinergic drugs and some SSRIs in depression. In any event, since there are at least five muscarinic receptors, it is unclear which might best account for the these antidepressant effects, but the rapid antidepressant effects seen with scopolamine (Furey & Drevets, 2006) are promising, as most antidepressants take several weeks or more to achieve full efficacy, a period where continued despondency, along with the psychomotor activation that is produced by some traditional antidepressants, can jointly promote suicidal intent. GABAergic systems. These rapidly acting excitatory and inhibitory transmitters, respectively, are currently implicated in virtually all psychiatric disorders and, indeed, in practically all brain functions. Both GABA and glutamate appear to be affected in depression, with the general picture being one of failing inhibitory controls and downregulation of GABA and overpromotion of excitatory cascades and some kind of functional overactivity in glutamatergic systems. However, the basis for these changes in both GABA and glutamate is unclear. Glutamatergic changes may be driven in part by possible upregulation of quinolinic acid, which acts as an N-methyl-D-aspartate (NMDA) agonist, due to alterations in pathways associated with upregulated pro-inflammatory cytokines (for review, see Muller & Schwartz, 2007). Because of the prolific roles in all brain functions of GABA and glutamate, so far with limited therapeutic implication for depression (e.g., Matsumoto, Puia, Dong, & Pinna, 2007) except for the mood-stabilizing ability of certain antiepileptic agents that inhibit excitatory drive/processes (such as affecting sodium channels), we would only note the most promising new lines of evidence in this enormous field of research. Because of some preclinical reports suggesting that blockade of glutamate might have antidepressant effects, a recent provocative clinical report indicated that intravenous administration of ketamine, which blocks one of the glutamatergic receptors (the NMDA receptor) yielded robust and rapid (within 2 hours, after a short dissociative effect) antidepressant effects that could last for several days to a week (Zarate et al., 2006). This study is part of a larger body of work suggesting that in a variety of preclinical models metabotropic glutamate receptor (mGluR1 and mGluR5) antagonists, as well as agonists at alpha-amino-3-hydroxy-5methylisoxazole-4-propionic acid (AMPA) receptors, have antidepressant-like activity. Of course, how this effect is traduced in the brain remains uncertain, but it must be noted that glutamatergic stimulation of many subcortical brain sites can produce strong negative emotional arousals (Panksepp, 1998). Furthermore, these results appear to validate a long-held taxonomic separation between depression and psychosis, as fundamentally counterposed processes in the mind/brain, since ketamine administration appears to be currently the best single-drug model for schizophrenia and dissociative disorders. Perhaps psychosis reflects some form of fundamental dampening failures in affective regulatory and “channelizing” systems, while clinical depression reflects a complementary and largely opposite problem—namely, release or disinhibition of a GABA and glutamate A discussion of the traditional neurotransmitters would not be complete without some consideration of the dysregulations that may exist in the most prolific amino-acid transmitters of the brain, both glutamate and 20 fundamental affective shutdown mechanism.2 An intuitive speculation would be that NMDA antagonism or AMPA agonism disrupts instantiation of major inhibitory networks normally dampening and modulating affective arousal systems, and that this disruption effectively and rapidly terminates the shutdown associated with depressive responses while also potentially promoting psychosis, particularly in nondepressed subjects. Whether the antidepressant effect of NMDA antagonists can be achieved with slower administration via the oral route remains unclear, but in any event, this strategy offers a robust way to alleviate depressive symptoms rapidly, during which more traditional antidepressants might be titrated up to therapeutic levels. In lieu of further discussion of the traditional neurochemical systems that have been targets for most psychiatric drug development, we will now turn to a discussion of what we deem to be the most exciting general arena of depression-relevant work—namely, the role of neuropeptides in regulating specific types of emotional arousal and bodily homeostasis. These lines of research offer many new therapeutic possibilities along with functional insights into how distinct emotional processes may participate in the genesis of depression. We will first cover the largest traditional area of research related to depression—namely, the physiological consequences of stress, which is commonly discussed independently of the kinds of emotions people and animals experience during stress (Panksepp, 1998, 2005). We will then address the social separation-distress system. This will be followed by a discussion of those stress-responsive and social neuropeptides that provide a new conceptual structure for understanding and potentially treating depression in more effective ways. The neuroendocrine axis and depression: the HPA axis, CRF, glucocorticoids, and BDNF Neuroendocrine alterations constitute a complex and often confusing set of findings in relationship to depression, with many neuroendocrine functions affected in depression, including alterations in the classic HPA stress axis, disruption of thyroid and growth hormone function, decreased secretion of melatonin, decreased prolactin production, decreased basal levels of follicle 2 A challenge to this may be the existence of psychotic depression, where one may need to explain affective regulatory failure of putatively two different kinds. Alternatively, the psychotic aspect may reflect emergence of maladaptive object relations or repetition compulsions during early preconscious cognitive development and may simply be a cognitive comorbidity as opposed to a distinct set of affective imbalances. Douglas F. Watt & Jaak Panksepp stimulating hormone (FSH) and luteinizing hormone (LH), and, as already noted, promotion of various cytokines that modulate immune responses. How these neuroendocrine alterations all might fit together remains poorly understood. There have been broad correlations established between depression and disorders of thyroid function (blunted release of thyroid-stimulating hormone, TSH, to infusion of thyrotropin-releasing hormone, TRH, although this may be nonspecific to many psychiatric conditions) and growth hormone (GH) function (generally blunted, particularly in terms of GH response in slow-wave sleep, and blunted GH response to clonidine). However, these other indices of endocrine dysfunction (changes in melatonin, prolactin, GH, TSH, LH, FSH) are generally regarded to be less important than alterations in stress cascades and alterations in CRF/ACTH/cortisol signaling loops and set points. Although earlier work on depression tended to regard alterations in the HPA axis as epiphenomenal or as an interesting sideline to the main action of aminergic dysregulation, accumulating evidence from many quarters suggests that changes in CRF and glucocorticoids are not epiphenomenal to depression. Many reviews (de Kloet, Joëls, & Holsboer, 2005; Holsboer, 2000; Young et al., 2004) have offered persuasive arguments that depression is intimately related to complex alterations in corticosteroid signaling and HPA-axis alterations associated with chronic severe stress. Almost 90 years ago, Bleuler (1919) presaged the current interest in the HPA–endocrine–depression connection by suggesting that endocrine modulators could serve as potential antidepressants and by demonstrating that hormones have effects on mood and emotional status. For instance, the ability of testosterone to produce psychological and physiological energizing has long been recognized. Given the primary role that the endocrine system has in regulating metabolism and basic energy production, our primary hypothesis would predict that a shutdown mechanism, aimed at termination of separation distress and selected in part because of its ability to preserve precious metabolic supplies, would of necessity have widespread endocrine effects. Indeed, since there is a fundamental relationship between depression and protracted stress cascades, an intact stress system is an essential component of an individual’s ability to respond adaptively to life circumstances that can promote depression (McEwen, 2000, 2007). Pathological overactivity of the pituitary adrenal axis, as in Cushing’s disease, has typically been accompanied by depressive-melancholic symptoms, leading to recent attempts to bring melancholia back into the diagnostic picture as a fundamental type of depression (see Fink & Taylor, 2007; for full discus- Depression: An Evolutionarily Conserved Mechanism? 21 sion of this, see the whole issue of Acta Psychiatrica Scandinavica Supplement in which the Fink & Taylor paper appeared). In this context, it is informative that people with significant lesions of this system, as in Addison’s disease, causing virtually total failure of stress cascades, also have twice the incidence of depressive and related affective disorders than do those with other medical disorders such as osteoarthritis (Thomsen, Kvist, Andersen, & Kessing, 2006). Depression and other forms of severe chronic stress appear to alter or fundamentally dysregulate these basic stress cascades in complex and only partly understood ways. A general principle appears to be that anything that tends to restore homeostatic regulation within the HPA axis has potential to therapeutically reduce depressive disorders. Hence, both reductions of cortisol in Cushing’s disease and increases of cortisol in Addison’s disease help restore affective homeostasis and euthymia. This suggests that dysregulation of normal stress responsivity, in either direction, is incompatible with affective health and that both over- and underactivity of the pituitary–adrenal stress axis is incompatible with affective well-being. In short, stress-cascade dysregulation appears to be a common characteristic of depression, as reflected in the failure of the system to autoregulate, possibly through altered set points and disrupted feedback in chronic severe stress. It is common (although not universal) for depression to be characterized by elevated cortisol levels, especially in the last third of the sleep cycle, when REM and excessive cortisol secretion prevails, leading to early restless sleep and early morning arousals that lead to sleepless nights (Tsuno, Besset, & Ritchie, 2005). Additionally, the full neurobiology of stress probably involves (at a minimum) complex interactions between stress cascades and their set points, cortisol production, sympathetic activity, proinflammatory cytokines, and declines in parasympathetic activity. The relationships between these various players are nonlinear and complex (McEwen, 2007), and even an apparently “simple” stressor (such as sleep deprivation) is capable of significantly altering all of these processes. adrenal glands, and this in turn, in a normal neuroendocrine system, causes downregulation of CRF release. Cortisol feedback appears to have several mechanisms, including a fast-feedback mechanism more sensitive to the rate of cortisol increase, operating partly through cortisol receptors in the hippocampus, while a slower feedback mechanism, sensitive to steady-state cortisol concentrations, probably operates more through pituitary, adrenal, and PVN hypothalamic receptors (PVN receptors are almost all glucocorticoid, GR, with very few mineralocorticoid, MR, type) (McEwen, 2007). The “fast mode” involves more sympathetic and behavioral “fight–flight” activation mediated by CRF1 receptors, while the “slow mode” that promotes adaptation and recovery is governed by more recently discovered urocortins, which act through the CRF2 receptor system. Vasopressin, synthesized in paraventricular and supraoptic hypothalamic nuclei, significantly potentiates the effects of CRF on ACTH release, and stress upregulates vasopressin also. Thus, vasopressin antagonists have attracted some theoretical interest as antidepressants (Scott & Dinan, 2002), although perhaps not as much as CRF antagonists. Underlining the complexity of the system, while classically inhibiting CRF production in regions like the hypothalamus, corticosteroid feedback can be excitatory and promoting of CRF in places such as the amygdala. Additionally, within extremely stress-sensitive brain regions such as the hippocampus and other limbic areas, corticosteroid receptors appear in two fundamental varieties—the MR receptors and GR receptors—with different feedback effects from these two receptor systems on CRF, on gene transcription, and on hippocampal neurodynamics. MR (activated by smaller amounts of steroids) is more implicated in the initial appraisal process and in the onset of the stress response, while GR (activated by larger amounts of steroid) helps to terminate stress reactions and thus facilitates homeostatic recovery. In the colorful metaphor of one classic reviewer (Tausk, 1952), metaphorically, “glucocorticoids contain the water damage caused by the fire brigade.” Tellingly, GR density is highest in the PVN of the HPA axis, in neurons of ascending aminergic systems, and in other limbic neurons that might modulate and inhibit PVN function (Miklos & Kovacs, 2002). Another complexity is that there appear to be various co-modulators of CRF receptors besides CRF (such as the peptide urocortin, which activates CRF2 receptors), as mice with deletions of the CRF gene exhibit apparently normal stress-induced behavior (for elegant summaries of complex interactions within the HPA axis, see de Kloet, Joëls, & Holsboer, 2005; Holsboer, 2000; Basic stress neurophysiology In terms of the classical stress cascades, CRF is released by the paraventricular nucleus (PVN) of the hypothalamus (with the PVN presumably driven by a host of forebrain limbic system structures, especially the hippocampus), stimulating the release of corticotrophin (ACTH) from the anterior pituitary, which in turn drives release of glucocorticoids from the cortex of the 22 McEwen, 2007). The utility of animal models in working out the details of what is actually happening within the “stressed-out” brain is widely recognized (Keck et al., 2005). For instance, it has recently been demonstrated that for excessive CRF to promote a depressogenic stress cascade, it has to operate with an intact dynorphin system, and the CRF2 receptor is critically involved in these interactions between dynorphin and stress cascades (Land et al., 2008). Altered stress cascades in depression, separation distress, and depressive phenotypes There are intrinsic and powerful linkages between stress physiology and basic attachment machinery in the mammalian brain. It is well known that separation distress is a highly effective instigator of arousal in the HPA system (Levine, 2001, 2005; Rosenfeld, Suchecki, & Levine, 1992). Indeed, perhaps the most robust neuropeptide manipulation to generate separation-distress vocalizations in infant mammals is to inject CRF or urocortin intraventricularly (Panksepp & Bekkedal, 1997). This finding converges with much other evidence that separation distress is indeed a prototype stress for the social brain, with complex relationships between earlyattachment history, genetic endowment, and phenotypes of stress cascades. Early-attachment experience in mammals appears to permanently mold individual stress neurophysiology, for better or for worse (Levine, 2001, 2005), pushing the brain onto epigenetic pathways that determine either a reduced or an increased potential for depressive responses. Underlining these intimate relationships between stress cascades and attachment, animals subjected to severe separation distress early in life show permanent alterations in the HPA axis and permanent upregulation of CRF (Heim & Nemeroff, 1999). Similarly, increased handling and particularly licking and grooming by maternal animals appears to result in long-term downregulation of stress cascades and increased neuroemotional resilience to stress (Cameron et al., 2005; Meaney, 2001). These effects of stress on vulnerable brains may be transgenerationally instantiated through multifactorial mechanisms, as recent work has found—for example, that excessive exposure to glucocorticoids (mirroring high stress levels) in maternal animals nursing infant pups led to permanently altered cytoarchitecture in brain dopamine systems in those perinatal infants (McArthur, McHale, & Gillies, 2007). That long-term security in a social attachment matrix—in a sense, the antithesis of traumatic attach- Douglas F. Watt & Jaak Panksepp ment loss and unmitigated separation distress—might significantly reduce the long-term risk for depression is consistent with our primary hypothesis.3 Early evidence thus suggests that maternal attunement and good maternal care may reflect a powerful neurodevelopmental influence virtually antithetical to stress (Cameron et al., 2005; Meaney, 2001). Both opioids and oxytocin significantly inhibit separation distress (Panksepp, Siviy, & Normansell, 1985; Panksepp et al., 1980, 1988) (even though oxytocin can also increase the pituitary adrenal stress response). A recent human study by Heinrichs, Baumgartner, Kirschbaum, and Ehlert (2003) showed that intranasal oxytocin lowered free cortisol levels in response to a standardized social stress test, as did social support, and the combination of both social support and intranasal oxytocin produced the lowest cortisol concentrations. Indeed, one interesting conclusion from all this is that emotional grounding in a good attachment (social comfort, in other words) and stress may well represent opposite poles for the “state space” of a social brain. This also is consistent with our primary hypothesis. In other words, the basic failure of an attachment (typically involving protracted separation distress or related traumatic events) potentially activates chronic stress cascades in a fashion that leads directly into depression and, if occurring early in development, may additionally promote a long-term vulnerability to depression as well by permanently altering the underlying CNS physiology of stress cascades. Abuse and neglect may reflect two differential pathways into severe social stress, presumably with both partially overlapping and also differential long-term consequences. Childhood mistreatment was shown empirically to permanently alter stress cascades and also to reduce the size of the corpus callosum and alter structural development of the left neocortex, hippocampus, and amygdala (Teicher, Andersen, Polcari, Anderson, & Navalta, 2002; Teicher et al., 2003). Additionally, low self-esteem (a risk factor for both major depression and dysthymic disorder) appears to impair control over stress cascades, while high self-esteem individuals demonstrate more rapid attenuation of stress responses in a public-speaking stress paradigm (for a 3 How such emotional resilience and resistance to depression is somehow neurodevelopmentally “transduced” into the brain through maternal care (and by such behaviors as anogenital licking!) has been substantially clarified at the epigenetic level (Szyf, McGowan, & Meaney, 2008), but the sensory inputs into such changing processes remain to be clarified, and they may be elaborated through long-term changes in the complex brainstem/ limbic trajectories of C-fiber systems. Depression: An Evolutionarily Conserved Mechanism? 23 fine summary review of stress neurophysiology, see McEwen, 2007). Public speaking is a robust probe of the vulnerability to shame, and shame in turn can be thought of as a cognitive (secondary-process) extension of separation distress (see section on separation distress). This suggests intimate relationships between attachment history, self-esteem, adaptive control over stress physiology, and vulnerability to depression. Elevated cortisol is one of the best-established markers of adult depression (Burke, Davis, Otte, & Mohr, 2005), even though lower than normal levels are seen in childhood depression (Kaufman, Martin, King, & Charney, 2001). The potential therapeutic role of other neuroactive steroids remains an active line of inquiry (Dubrovsky, 2006). Excessive activity of the CRF/ ACTH/cortisol system, or, more broadly, perhaps some form of fundamental dysregulation driven by excessive emotional activity of various sorts (Maier & Watkins, 2005), has been consistently implicated in depression, with the most classic early finding being the failure to suppress endogenous cortisol production in reaction to exogenous dexamethasone, the classic Dexamethasone Suppression Test (DST) (Duval et al., 2005; Rush et al., 1996) and the associated finding of hypercortisolemia. This so-called nonsuppression response has generally been thought to index more severe and often psychotic depressions, although clinical presence of this nonsuppression can be nonspecific, and, conversely, a normal suppression response does not necessarily mean that someone is not depressed. However, some work (Zobel et al., 2001) suggests that a nonsuppression response, particularly if it does not normalize with treatment, indexes a greater likelihood of relapse compared to a DST response that does normalize, suggesting that these neuroendocrine alterations may more accurately index some kind of vulnerability to depression rather than a depressive state per se. Additionally, Holsboer (2000) suggests that there is blunted ACTH response to exogenous CRF release while depressed, as well as normalization of the elevated CRF in cerebrospinal fluid seen in most depressed patients after clinical remission of depressive symptoms. An even more sensitive test (although much less widely appreciated) to detect fundamental HPA-axis dysregulation in depression combines dexamethasone and CRF (referred to as the “dex-CRF test”; von Bardeleben & Holsboer, 1988). In this test, patients are treated with a single low dose, typically 1.5 mg, of dexamethasone at 11 p.m. and receive intravenously 100 µg CRF at 3 p.m. the following day. The amount of ACTH and cortisol subsequently released is much higher in depressed patients than in euthymic controls in response to this combined probe, with the specificity for depression above 80%, depending on gender and age (Heuser, Yassouridis, & Holsboer, 1994). Whereas CRF-elicited ACTH response is typically blunted in depressed patients, pretreatment with dexamethasone produces the opposite effect and, paradoxically, enhances ACTH release following CRF administration. CRF-induced cortisol release is much higher in these patients who are pretreated with dexamethasone than following CRF alone. Although this does sound like a convoluted set of interactions, Holsboer (2000) suggests that dexamethasone has little direct access to the brain and acts primarily at the pituitary to depress ACTH and that, subsequent to this, the resulting decrease in cortisol and the failure of dexamethasone to compensate for the decreased cortisol levels in the nervous system create a situation that is sensed by the CNS regulatory elements of the HPA axis (primarily the hypothalamus) almost as a transient loss of adrenals. In response to this, there is a large secretion of central neuropeptides (CRF and vasopressin) driving production of ACTH and then cortisol. Again, all of this underlines regulatory failure in the HPA axis. Holsboer (2000) argues that when these various neuroendocrine probes (CRF administration, dexamethasone administration, and the combined dexamethasone/CRF administration) are abnormal, normalization of the HPA axis often appears necessary for clinical remission in depressed patients. He also finds evidence for a shift in the dose–response curve to higher dexamethasone doses and interprets this as evidence that negative-feedback mechanisms through glucocorticoid receptors are impaired in depressed patients. Although the precise molecular mechanisms for some kind of functional derailment of the HPA axis remain to be clarified, there is an emerging consensus that normalization of HPA function may be necessary for remission of depressive symptoms, and that failure to normalize HPA function indexes an increased risk of depressive relapse (Heuser et al., 1996; Zobel, Yassouridis, Frieboes, & Holsboer, 1999). Consequences for impaired regulation of cortisol are many, but the most critical ones may be changes in CNS tissues, especially the impact of excess cortisol on the hippocampus. Sustained elevation of cortisol is currently suspected to be the primary etiological factor for the modest reductions in hippocampal volume seen in patients with depression and posttraumatic stress disorder (PTSD) (Dranovsky & Hen, 2006; Jacobs et al., 2000), although this correlation still remains controversial. There is evidence also that excessive 24 cortisol disrupts the hippocampus functionally, perhaps through impairing long-term potentiation (Pavlides, Nivón, & McEwen, 2002) potentially contributing to the mild amnestic syndrome seen in many depressions. Bremner (2000) found evidence that hippocampal volume loss is correlated with the duration of depressive illness. In animal models, hypercortisolemia appears to generate a form of excitotoxicity in hippocampal neurons, particularly pyramidal cells, causing dendritic spine loss and atrophy and possibly eventual cell death (Lee, Ogle, & Sapolsky, 2002; Sapolsky, 2003), although reductions in hippocampal volume may only partly reflect neuronal death. One intriguing hypothesis, by no means proven, is that the above hippocampal disruptions are critical for the deficit of cortisol-induced negative feedback on the pituitary–adrenal axis as typically monitored with the DST, particularly in the ventral hippocampus. In addition to its role in orchestrating classic stress cascades, equally important is the fact that CRF is an essential neuromodulator in a number of core limbic regions, including the hypothalamus, the amygdala, the septum, limbic and midline thalamic areas, the bed nucleus of stria terminalis (BNST), and paralimbic paleocortical areas such as the cingulate and insula (Bale & Vale, 2004). A rapidly increasing literature is directing interest in both CRF and glucocorticoid receptors as targets for the development of novel nonaminergic antidepressants. Either overexpression of CRF in transgenic mice, or chronic CRF administration into the brain, generates a phenotype strongly suggestive of depressive-spectrum responses including hypercortisolemia, decreased appetite and weight loss, hyposexuality, increased arousal, and anxiety-like behaviors (Keck et al., 2005). Precisely where in the limbic circuitry these responses are being generated is still unclear, but presumably they come through alterations in many of the above-noted core subcortical/limbic systems, with certain hotspots like the bed-nucleus of the stria terminalis, which contains an abundance of separation-distress circuitry, likely to be preeminent. As noted earlier, one recent important finding is that many CRF stress effects are secondarily mediated through changes in downstream dynorphin dynamics, which potentially promotes shutdown of the ventral tegmental area (VTA) (Land et al., 2008). Antidepressant drug targets implicated in stress cascades The above considerations suggest that both CRF as well as corticosteroid receptors, and also dynorphin, may be Douglas F. Watt & Jaak Panksepp highly effective targets for pharmacological modulation of depression. Currently, two primary receptor subtypes for corticotrophin-releasing factor, CRF1 and CRF2, are generally acknowledged, and both appear coupled to G proteins. CRF1 is probably the more predominant and widely distributed receptor subtype, with enriched expression in the pituitary and throughout limbic brain regions. Selective deletion of these receptors tends to curtail classic behavioral responses to stress (Bale & Vale, 2004; Charmandari, Tsigos, & Chrousos, 2005; Keck et. al, 2005). Based on this, there has been a major effort to develop CRF1 antagonists both as anti-anxiety and antidepressant medicines (Zoebel et al., 2000), but this effort has been plagued by ongoing major difficulties with side effects, particularly hepatotoxicity. CRF2, which has a more restricted expression in the CNS, has been targeted more recently as a receptor of interest in depression, given consistent side-effect difficulties with CRF1 modulation. CRF2 antagonists do show anti-anxiety and perhaps antidepressive effects in animal models and significant efficacy and learned helplessness and chronic stress depression paradigms in animals. There appears to be some conceptual debate whether drugs modulating CRF receptors are “really” antidepressants or are more anti-anxiety/anti-stress agents (for an excellent review, see Berton & Nestler, 2006). However, we would argue that a strict distinction between these is only critical if one does not presume any necessary etiologic relationship between chronic stress and depression. We would argue that these may be intrinsically related domains, especially in a social brain dealing with prototype social stressors such as loss and separation distress. Glucocorticoid receptors (GR) have also attracted increasing interest as a potential therapy target in depression. Glucocorticoids diffuse passively through cellular membranes and bind to intracellular glucocorticoid receptors, precipitating ligand-activated transcription, with the activated genes apparently affecting many aspects of neuronal function, particularly metabolism, and various aspects of neuroplasticity and synaptic transmission. Glucocorticoid elevations, of course, also normally promote termination of classic stress cascades through at least two neural feedback loops, as outlined above, with CNS negative feedback mediated perhaps largely through the more ventral hippocampus and periventricular hypothalamic areas, ultimately causing repression of target genes promoting CRF production. Interestingly, a glucocorticoid antagonist (Mifepristone) has demonstrated efficacy in psychotic depressions. As noted above, and opposed to this classic feedback inhibition, glucocorticoids can exert a promoting effect on CRF expression in other Depression: An Evolutionarily Conserved Mechanism? circuits in the brain, particularly the amygdala and bed nucleus of stria terminalis, which further underlines the complexity of stress responses, stress modulators, and CNS architectures involved in stress responses. Thus a glucocorticoid drug (agonist or antagonist) might well have differential effects on CRF expression in disparate brain regions, promoting it in some areas while inhibiting it in others. As mentioned above, there is fundamental disruption of normal adaptive feedback suppression of the HPA axis by glucocorticoids, suggesting that GR negative feedback on the stress axis is somehow not working, an effect found in many depressed individuals (although not universally). Consistent with this is a recent mouse model reproducing some of the fundamental neuroendocrine alterations in depression that was achieved by selective deletion of the GR2 receptor in the forebrain (Boyle et al., 2005). These mice showed a fairly strong depression-like phenotype, and positive behavioral responses to tricyclic antidepressants, suggesting that this is indeed an animal-analog to human clinical depression (see Appendix for animal models) and that depression may involve some baseline disruption of corticosteroid signaling in the context of chronic severe stress. Supporting that these correlations are not coincidental, transgenic mice overexpressing GR2 show increasing emotional lability in response to stress, along with enhanced sensitivity to the effects of antidepressants. Most antidepressant treatments gradually restore negative-feedback inhibition of the HPA axis, an effect that may arise from increased expression of GR receptors in the forebrain, particularly in regions of interest such as the hippocampus (Barden, 2004; de Kloet, Joëls, & Holsboer, 2005). An interesting and still unanswered set of questions, however, hinges around the potential relationships between these complex HPA-axis issues and BDNF signaling, a neuropeptide that appears to have effects antithetical to cortisol and stress (see sections on BDNF and neuroplasticity). Summary of evidence for link between stress cascades and depression We believe overall that a “stressed-out” neurophysiology is not just a “peripheral correlate” of depression (the predominant early assumption in psychiatry), but that protracted severe stress (with separation distress as a prototype stressor) may constitute the essential pathway into depression. In one of the most detailed reviews of these issues to date in the neuroscience literature, de Kloet, Joëls, and Holsboer (2005) elegantly summarize the basic data points for this view: 25 • The hyperdrive of hypothalamic corticotropin-releasing hormone (CRF)/vasopressin neurons and hypothalamic–pituitary–adrenocortical (HPA) hyperreactivity seen in chronic stress occurs also in major depression. • Neuroendocrine signs of depression can be discriminated from other stress-induced psychiatric disorders, such as post-traumatic stress disorder (PTSD), which is characterized by CRF/vasopressin hyperdrive and hypocortisolemia. • Hypercortisolemia disturbs anxiety and aggression regulation, producing cognitive impairments that are associated with a depression-like phenotype. • Hypercortisolemia disturbs monoaminergic systems in a manner similar to that observed in depression. • Hypercortisolemia causes volume reductions in limbic structures, similar to that observed in depression. • Early-life stress can produce enhanced emotional and neuroendocrine reactivity, creating a vulnerable phenotype for depression. • HPA normalization/dysregulation is an excellent predictor for both remission/relapse of depressive symptoms in patients with major depression. • Intracerebroventricular CRF induces anxiety and a depression-like phenotype. • Glucocorticoid receptor (GR) and CRF1 receptor mutagenesis in mice modulates stress reactivity, anxiety, aggression and cognitive performance. • Antidepressants enhance limbic mineralocorticoid receptor (MR) and GR expression in correspondence with normalization of the HPA axis. • CRF1 antagonists ameliorate the signs and symptoms of depression. • GR antagonists improve psychotic symptoms in depression. • MR antagonists worsen antidepressant outcome in depression. [p. 470] De Kloet, Joëls, and Holsboer conclude that the body of evidence suggests that sustained hyperactivity of the HPA axis and MR/GR imbalances, perhaps precipitated epigenetically by early-life stresses and/or vulnerable genotypes, generates a stress-vulnerable phenotype that traverses multiple DSM-IV psychiatric diagnostic categories. Additionally, there is evidence that the disturbance in the MR/GR ratio may directly contribute to serotonergic dysfunction in depression (Young, Lopez, Murphy-Weinberg, Watson, & Akil, 2003), with these 5-HT deficits amplified by the effects of increased proinflammatory cytokines in chronic stress (Leonard, 2006). Further underlining intimate loops between these systems, cytokines also play a role in impairing HPA-axis feedback (Schiepers, Wichers, & Maes, 2005). 26 The separation-distress system Separation distress has been conceptualized as a prototype mammalian emotional system, one of a handful of primary emotional systems, intrinsically part of bonding and social attachment and prototypically triggered by separation events in infancy and early childhood. Separation distress obviously drives reunion-seeking and thus helps to sustain social bonds in a critical fashion. In simplest terms, separation distress underlines that one cannot love another deeply and, at the same time, not miss the other at all if that person is unavailable. Both separation distress and other aspects of social bonding are heavily regulated by central neuropeptides, specifically by endogenous opioids, oxytocin, and prolactin. Localized electrical stimulation of the brain (ESB) in animals (Panksepp, 1998) suggests a distributed network of systems underpinning this prototype emotional reaction, involving paleocortical regions, particularly anterior cingulate, the ventral septum, the bed nucleus of stria terminalis, the dorsal preoptic area, limbic thalamic areas in dorsomedial regions, and portions of PAG. Intriguingly, and underlining an intrinsic relationship between stress and separation distress in mammalian brains, injection of CRF into the ventricles of young birds will consistently produce a robust and lasting separation-distress reaction including classic separation-distress vocalizations, despite the presence of conspecifics (Panksepp, 1988, 1990; Zhang et al., 2004). This suggests that CRF facilitates the separation/loss state, which could be viewed as a prototype stressor for young and vulnerable social brains. Unfortunately, the CRF response is modest and not as clear in primates (Kalin, 1985) and actually is reversed in rats, where CRF inhibits separation-induced vocalizations (Insel & Harbaugh, 1989). The reversal of this response in rats may be due to the fact that their ultrasonics are not a true social separation-distress vocalization (Panksepp, 2003a), and the milder effect in primates may reflect the fact that CRF also promotes fearful responses, and fear is inhibitory of separation-distress vocalizations. Correspondingly, injection of nonsedating doses of opioids (essentially at very low, subanalgesic doses) will suppress these separation cries with remarkable effectiveness in dogs, guinea pigs, and domestic chicks (Panksepp, 1981; Panksepp, Herman, Vilberg, Bishop, & DeEskinazi, 1980; Panksepp, Normansell, Herman, Bishop, & Crepeau, 1988; Panksepp, Siviy, & Normansell, 1985), now replicated in many species (Panksepp, 2003a), from rats (Kehoe & Blass, 1986) to primates (Kalin, Shelton, & Barksdale, 1988). This work high- Douglas F. Watt & Jaak Panksepp lights the critical role that endogenous opioids have in regulating attachment and separation-distress responses across all species that have been studied. Recent functional imaging work in humans has confirmed findings from animal models, suggesting that opioids play a central role in human mood regulation, including the transitions between more euthymic states and states of significant sadness (Zubieta et al., 2003). Induction of a sad emotional state (perhaps the clearest adult human homologue to infant mammals to separation-distress reactions) was accompanied by significant decrements in brain opioidergic tone, particularly in rostral anterior cingulate, ventral pallidum, left amygdala, and left inferior temporal cortex. Additional findings were that reductions in opioid tone in rostral anterior cingulate, right ventral pallidum, left hypothalamus, and left insular cortex predicted increases in negative affect, while reductions in endogenous mu opioids in the ventral pallidum bilaterally and in the left amygdala best predicted reductions in positive affect. Follow-up work has confirmed that opioid circuitry appears “dysregulated” in depression (Kennedy, Koeppe, Young, & Zubieta, 2006) (for more details, see section on endogenous opioids). Critical for our discussion, separation distress in classic work (Bowlby, 1980; Elliot & Scott, 1961; Panksepp, 1981) suggests an initial protest phase (lasting varying amounts of time in different individuals and species), followed by a so-called despair phase, in which animals demonstrate an analog to human depression, characterized by apathy, lethargy, pining, social withdrawal, and reductions in crying (Harris, 1989). Critical for the purposes of our discussion is the transition between the protest phase and the despair phase, as this transition may best index mechanisms critically generative of depression. This “cusp” or transition has recently been linked to increased cytokine production (Hennessy, Deak, & Schiml-Webb, 2001), along with upregulated dynorphin systems that appear clearly dysphoric (Land et al., 2008) and actually reduce separation distress and protest. This is important in explaining a key characteristic of the transition to the despair phase of the separation–depression cascade, as animals cease protesting and “give up” (Panksepp, Lensing, & Bernatzky, 1989; Panksepp et al., 1991). Consistent with our hypothesis that depressive shutdown adaptively terminates a potentially metabolically exhausting separation-protest phase in infant mammals, there is recent work suggesting similarities between hibernation and human depression, as antidepressants and mood stabilizers actually prevent animals from hibernating (Tsiouris, 2005). (See Figures 1 and 2.) Depression: An Evolutionarily Conserved Mechanism? Figure 1. Schematic summary of the various influences and levels of analysis that are important in analyzing the potential nature of an integrative emotional system for social affect. (Adapted from Panksepp, 1998.) Figure 2. Human and mammalian separation-distress systems. (Reprinted with permission of the American Association for the Advancement of Science from Panksepp, 2003a.) Neural network perspectives: regions of interest Functional imaging of depression As Berton and Nestler (2006) point out, if one were allowed to carry out brain biopsies on patients with major depression, it is far from clear what the target re- 27 gions of interest might be for such a biopsy or, indeed, even what one might look for in terms of fundamental alterations in tissues. However, there is a body of literature implicating a group of core structures, including hippocampus and both medial (cingulate) and dorsolateral prefrontal cortex, amygdala, nucleus accumbens, hypothalamus, and multiple monoaminergic systems. Although the fundamental neurodynamic and neuromodulatory alterations in these structures remain unmapped, depression appears to generate a complex and global “change in state” in most if not all of these systems, suggesting fundamental shifts in corticolimbic functional connectivities. Several functional imaging studies have shown hypoactivity in dorsolateral prefrontal cortical systems (Fitzgerald et al., 2006), shifts that presumably correlate with diminished working memory processes, including altered balances between right and left regions, perhaps biasing cognitions more toward negative affective processing (Grimm et al., 2008; Northoff, 2007). This is accompanied by diminished frontal cortical size (paralleling changes in closely connected hippocampal regions) with the most disruption to medial frontal zones (Steele, Currie, Lawrie, & Reid, 2007), which are areas known to be important in emotional and self-related information processing (Northoff et al., 2006; Panksepp & Northoff, 2009). Additional support for a corticolimbic network hypothesis about depression comes from a recent fMRI antidepressant study (Anand, Li, Wang, Gardner, & Lowe, 2007) showing changes in corticolimbic connectivity after six weeks of treatment with Zoloft, with diffusion tensor imaging demonstrating increasing cortical regulation of limbic mood-generating circuitry. A most striking recent demonstration of intimate relationships between depression and alterations in corticolimbic networks has come from recent ESB trials with individuals suffering from drug-treatment refractory depression. Mayberg et al. (2005) suggest that refractory depressions are typically associated with hyperactivation of the subcallosal cingulate, and her group found that ESB-induced disruptions of this hyperactive subcallosal cingulate region (Brodmann’s area 25, consisting largely of white matter tracts) showed impressive efficacy in treating otherwise severely refractory depressions. Although this study did not have a control group, and was clearly not even singly blinded (which would require sham craniotomies), five out of six patients with severe refractory depression responded positively to this form of ESB, with four out of six showing complete remission. Several previous studies (Mayberg et al., 1999, 2000) had shown antidepressant efficacy correlated with reduc- 28 tions in the area 25 activity. It has been known for some time that this area of the cingulate is regarded as the most “affective/autonomic” region of the cingulate and that it has the richest connections of any cortical area to a host of structures involved in separation distress in animal models, including the bed nucleus of stria terminalis, the septal regions, the preoptic areas of the hypothalamus, as well as several other hypothalamic regions, along with limbic thalamic areas including medial dorsal and other midline heteromodal groups, and periaqueductal gray (Vogt & Gabriel, 1993). What might contribute to this refractory phenotype in terms of either genes or life history is almost totally unknown. However, that area 25 may exercise a role in the transitions from separation distress to depression is a concept that needs more empirical attention. An attractive hypothesis from Mayberg et al. (2005) is that in a certain percentage of patients plagued by refractory depression, area 25 becomes a kind of malignant coordinator of refractory depression and generates a malignant shutdown of attachment-related behaviors and emotions. This was poignantly suggested in detailed descriptions of patient behaviors as they underwent initial brain stimulation, in which disrupting the hyperactivity of this brain region produced immediate phenomenologic change in the direction of prosocial connection and antidysthymia effects. Shortly after area 25 stimulation, treatment-refractory patients consistently described similar affective changes: “calmness or lightness,” disappearance of the “depressive void,” a sense of increased awareness, increased interest, and increased sense of social connectedness and caring coming from others, and even sometimes a sudden visual brightening of the room. These effects were reversible, reproducible, and time-locked with actual brain stimulation, but not with sham or subthreshold stimulations. Associated with these affective/phenomenologic changes were clear improvements in psychomotor speed and output, interestingly without discernible autonomic effects. One woman (“A Depression Switch?” New York Times, 2 April 2006) poignantly described how her characteristic and chronic emotional “deadness” and emptiness were almost immediately supplanted by an awareness that her treatment team actually did care about her, suggesting that social bonding is directly managed by area 25 networks and is not simply a result of more slowly accumulating downstream second- or third-messenger effects (although those may contribute as well). Although small N-case descriptions, without proper double-blinded controls, cannot be used to frame more than preliminary hypotheses, these descriptions suggest that the termination of depression in these refrac- Douglas F. Watt & Jaak Panksepp tory patients is directly hinged to the reestablishment of a more normal sense of social connection and social comfort. This is consistent with our core hypothesis, and it suggests an intrinsic and intimate relationship between termination of depressive shutdown and resumption of normal social relatedness. These findings argue that electrical brain stimulation in area 25 promotes disruption of a global shutdown mechanism at the core of depression. Evidence from other functional imaging work in humans argues that Brodmann’s area 25 participates centrally in sadness, the adult human homologue for infant mammal separation-distress reactions (Panksepp, 2003b), suggesting that this is a vital region of interest for understanding the relationship between separation distress and depressive states. How this region and its functional states might link up with stress cascades and multiple modulatory shifts is unclear, but we would hypothesize that there is likely to be an intimate relationship between area 25 functional and neurodynamic alterations in sadness reactions and depression, stress cascades, and alterations in opioidergic and oxytocinergic transmission. We already have solid evidence that shifts in opioidergic transmission in anterior cingulated regions are centrally involved in sadness reactions (Zubieta et al., 2003). Further work is required to elucidate precisely what is going on in area 25, as patients transition from acute separation distress and sadness (short-lived depressive responses?) into chronic depression. Our working hypothesis is that brain regions that initially coordinate separation-distress and sadness reactions undergo some kind of neurodynamic shift over time to coordinate the shutdown of separation distress and the initiation of depression. Neuromodulatory perspectives: affect modulatory neuropeptides In addition to more classical aminergic-centered perspectives on depression, there are multiple neuropeptide perspectives, including those emphasizing CRF/glucocorticoid dynamics (the HPA-axis hyperactivity hypothesis) as well as endogenous opioid, cholecystokinin, dynorphin, galanin, orexin, oxytocin, substance P, various neurotrophins (e.g., BDNF), and multiple cytokines. Interactions between peptide and amine systems and cytokine–neurotransmitter interactions remain incompletely mapped, even though anatomically it is known that many neuropeptides innervate key aminergic cell groups such as the LC, raphe, and VTA. Psychiatry is just starting to generate sustained research initiatives into the role of neuro- Depression: An Evolutionarily Conserved Mechanism? 29 peptides in depression and other DSM-IV syndromes (Holsboer, 2003). depression. The problem was that with tolerance and the need for increasing doses, not only was addiction and abuse made more likely, but a depressive crash following opioid withdrawal typically left patients with an intensified sense of psychic pain and despair. Since the “opiate cure” could thus often lead to the worsening of the depressive condition following a most painful withdrawal process, there has been a sustained (and in our view scientifically regrettable) skepticism about opioids having any utility in depression. Although now there exist opiates with much less abuse potential (mixed agonists–antagonists, such as buprenorphine), the psychiatric community almost religiously avoids even mentioning opioids in the treatment of depression, or as a prominent candidate for alleviating the pleasure deficits that characterize the depressive cascade, largely out of fear of directly or indirectly promoting addiction. In view of the power of opioids in alleviating separation distress and in promoting feelings of pleasure and satisfaction, and the importance of an endogenous pleasure deficit in many forms of depression, this seems a problematic omission (Callaway, 1996). Underlining the importance of this neglected system, recent work suggests that two agents traditionally viewed as classically aminergic (venlafaxine and mirtazapine) indirectly promote a variety of opioid systems, with this potentially underpinning their increased efficacy in severe depression (Schreiber, Bleich, & Pick, 2002). Indeed, we would argue that the ongoing systematic neglect of the obvious implications of endogenous brain opioids for a better understanding and potential treatment of depression is mostly driven by an undesirable combination of big pharmacology economics and widespread addiction-phobia. One highly informative study attempted to mitigate this neglect by evaluating buprenorphine (a partial agonist at mu receptors and an antagonist at kappa receptors) in an open trial with patients who had all failed with many other medications (Bodkin, Zornberg, Lukas, & Cole, 1995). The strikingly positive findings suggest that reexamination of opioid neuropeptide systems and their potential role in depression is overdue. Bodkin and colleagues found evidence that buprenorphine was an effective antidepressant with a very low risk of addiction (because as a partial agonist, it shows antagonist effects at higher doses) in patients with moderate to severe depression. An open and unanswered question around buprenorphine is whether its therapeutic efficacy in the study was due primarily to its mu agonist effects, its kappa antagonism, or a (presumably) desirable combination of both. Also, this work needs to be replicated using gold-standard double-blind, placebo- Corticotrophin-releasing factor As already noted in previous sections, the dysphoriapromoting neuropeptide that has received the most attention in depression studies is CRF, which lies at the very apex of the classical HPA stress response. Excessive brain release of CRF, with pituitary ACTH oversecretion, leads to chronically elevated cortisol, but along with dysregulate cortisol feedback to the brain effectively inhibiting the arousal of the brain stress axis. This may lead to excessive CRF within the brain and the promotion of anxiety, stress-related behaviors, and dysphoric affects (Kehne, 2007; Nemeroff & Vale, 2005). However, CRF interacts with a large number of other peptide systems in addition to activating norepinephrine arousal within the brain. For instance, some of the affective-depressogenic and anxiogenic effects of CRF may operate indirectly through activation of dynorphin (Land et al., 2008) and cholecystokinin systems (Becker et al., 2008). Opioids systems (mu opioids) Currently, the mu-opioid system is almost totally neglected, even in excellent traditional reviews of depression (see Berton & Nestler, 2006); this neglect occurs despite abundant long-term evidence that opioid chemistries inform nearly every aspect of pleasure in mammalian brains (Berridge, 2004; Panksepp, 1998). The second author was the originator of the opioid theory of social attachment (Panksepp, 1981), arguing over 25 years ago that opioids regulated social connection and that attachment was like an endogenous opioid addiction in which interactions with a significant other were responsible for promoting sustained tonic opioid release in the brain. At the top of the list of instructive data points, mu opioids, along with oxytocin, are the two most effective molecules in suppressing separation-distress vocalizations in animals (Panksepp, 1998; Panksepp, Herman, Conner, Bishop, & Scott, 1978; Panksepp, Vilberg, Bean, Coy, & Kastin, 1978; Panksepp et al. 1980), and as already noted, there is now solid evidence that low opioid tone contributes to separation-distress and sadness reactions in humans (Zubieta et al., 2003) (see separation-distress system section). Indeed, prior to the modern era of psychopharmacology starting in the 1950s, opiates were about the only drug available that were effective in treating 30 controlled methodologies. In any event, in the open trial conducted by Bodkin and colleagues, 10 treatment-refractory, unipolar, nonpsychotic depressed patients were treated with low doses of buprenorphine. Of these patients, 3 terminated treatment quickly because of nausea and feelings of malaise, a not unusual problem in opiate-naïve subjects. The remaining 7 completed four to six weeks of treatment and as a group showed clinically striking improvement in both subjective and objective measures of depression. Much of this improvement was observed significantly more rapidly than with traditional monoamine agents (which had been unsuccessful in these patients). All showed significant improvement by the end of the first week of treatment. Improvements persisted throughout the trial. Benefits were achieved by 4 of these 7 subjects within a few days of starting the medication and complete remission by the end of the drug trial (with Hamilton Rating Scale for Depression scores less than or equal to 6), 2 were moderately improved, and only 1 showed any kind of deterioration after a period of improvement (this elderly patient had many other “realistic” health and family worries). It is worth emphasizing that this trial was conducted on a treatment-refractory group of patients, among whom only 7 subjects chose to complete the full drug trial (whether patients who experience nausea might benefit if given anti-nausea agents needs to be evaluated). It is impressive that 6 of the 7 got significant benefit, while 4 of the 7 showed complete and sustained remissions. One suspects that any aminergic agent able to demonstrate remotely comparable efficacy in refractory depression (none exists!) would be vigorously promoted by pharmaceutical companies. Curiously, there has been not a single follow-up study in the literature with full controls. One can only conclude that “addiction-phobia” and medical economics in which off-patent agents are seen as unattractive by large pharmaceutical firms have seriously affected our view of buprenorphine, which combines two desirable properties from a theoretical standpoint (partial agonism of mu receptors, along with kappa antagonism). Use of pro-opioidergic modulators to treat depression may unfortunately only occur after patentable new agents are developed. One such strategy is to enhance endogenous opioid activity by development of agents that block their breakdown—for instance, enkephalinase inhibitors that increase enkephalin signaling (Noble & Roques, 2007). However, the absence of depressive symptoms in preproenkephalin knockout mice might speak against the critical role of changes of enkephalin dynamics in animal models of depression (BilkeiGorzo, Michel, Noble, Roques, & Zimmer, 2008) (this Douglas F. Watt & Jaak Panksepp seems possibly premature to conclude without knowing a lot more about how such a knockout would affect limbic development and behavior; there could be a host of compensatory processes recruited that might prevent depressive phenomena in such a knockout model). Of course, there are such a large number of endogenous opioids in the brain that evidence against one opioid peptide is not evidence against all. We anticipate that deficits in the most powerful separation-distress-alleviating mu opioids—the endorphins (Panksepp, Vilberg, et al., 1978)—will prove to be more influential in the genesis of depression. Conversely, excesses of the most dysphoric of the opioids—dynorphins—may promote depression. Dynorphins Kappa opioids have recently come under increasing interest as mediators of depressive processes, due to emerging evidence that they may regulate negative/inhibitory feedback on the ventral tegmental mesolimbic dopamine system, a primary candidate mechanism to explain global motivational shutdown and anhedonia in depressive states. It has been known for a long time that administration of kappa-opioid agonists produces aversive feeling in animals, as evaluated with conditioned place-preference paradigms, and other behavioral symptoms of depression (Bals-Kubik, Ableitner, Herz, & Shippenberg, 1993; Carlezon et al., 2006). In humans, dynorphin agonists provoke strong, almost psychotic-like dysphoric states (Hasebe et al., 2004), characterized by “disturbance in the perception of space and time, abnormal visual experience, disturbance in body image perception, de-personalization, de-realization and loss of self control” (Dortch-Carnes & Potter, 2005, p. 195). This type of psychotic dysphoria seems to be a characteristic of all the kappareceptor agonists. For instance, Walsh, Strain, Abreu, and Bigelow (2001) found consistent ratings of “bad” subjective ratings in humans treated with the kappa agonist enadoline. A characteristic description of effects was “within 10 min after receiving the injection, he reported unusual sensations, including the floor moving and his skin prickling. He became agitated, began swearing, mistrusting others, and accused staff of seeking to harm him.” Clearly, these effects are much more than depressive affect, with symptoms of strong dissociative psychosis, and the basis for this dissociative aspect remains poorly understood. In any event, dynorphins are very widespread in the brain and are co-localized with many neuropeptides that may help either alleviate or prevent depression, Depression: An Evolutionarily Conserved Mechanism? 31 including oxytocin and orexin. Dynorphins are also abundant along dopamine pathways, and they generally counteract the euphoria promoted by dopaminergic arousal, even to the point where such agents have been proposed as treatments for cocaine craving (Mello & Negus, 2000). Dynorphins reduce the potency of brain self-stimulation reward (Todtenkopf et al., 2004), and they are elevated during depressive withdrawal processes, when animals are withdrawn from rewarding psychostimulants (Hurd, Svensson, & Ponten, 1999). Hurd et al. (1997) found evidence that messenger RNA for dynorphin was increased in “patch” versus “matrix” compartments of the basal ganglia system in depressed subjects who committed suicide, consistent with the primary peptidergic comodulation of “patch” compartments, and with the primary role of the patch compartments in modulating more limbic emotional networks versus the classic sensorimotor targets of the matrix compartments. Some of the aversive effects of otherwise-rewarding drugs such as cannabanoids are eliminated when dynorphin is taken out of the equation (Zimmer et al., 2001), and the dynorphin-like neuropeptide nociceptin inhibits the rewarding effects of most drugs of abuse (Kotlinska et al., 2003). In other words, by promoting dynorphin-like activity in the brain, all kinds of pleasures seem to be reduced. Thus, there is considerable excitement at present about the possibility of evaluating dynorphin receptor antagonists for their antidepressant effects. Preclinical work on these compounds has been promising (Land et al., 2008; Mague et al., 2003; McLaughlin et al., 2003). Additional support for dynorphin playing a generative role in depression comes from the work of Carlezon et al. (2006), who found that application of the selective kappa agonist salvinorin A produced depressive behavioral phenotypes in rodents, specifically behavioral depression in the forced swim test and in self-stimulation tests, two critical behavioral tests central to antidepressant drug design. In a complementary study, Mague et al. (2003) found that administration of a kappa antagonist generated prolonged forced swim test behavior, suggesting increased resistance to depression and emotional resilience. Underlining potential intrinsic connections between kappa opioids and stress, the evidence is that kappa opioids are promoted directly by stress cascades, possibly through a D1 receptor interaction (Berton & Nestler, 2006). All of this suggests close intrinsic linkages between social comfort on the one hand and the protection against depression (by promotion of mu opioids and inhibition of kappa opioids), and separation distress and depression on the other hand (by the downregulation of both mu-opioid and oxytocin systems and upregulation of kappa opioids). These considerations further support our primary hypothesis and suggest that both the mild mu-opioid stimulation and kappaopioid inhibition effects of buprenorphine are ideally suited to produce a doubly positive effect on these reciprocal pleasure-modulating chemistries of the brain. One of the problems in pursuing such work is that currently most kappa antagonists have remarkably strong, at times irreversible, binding to dynorphin receptors, such that the effects of a single administration of these agents can produce blockade for up to several week after a single administration. However, we would like to re-emphasize that the excellent kappa-receptor antagonism effects of buprenorphine, along with rapid restoration of pleasure from the mu-receptor activation, may explain its ability to alleviate depression more rapidly than do traditional agents (see above). However, it is now important to determine, perhaps initially through the use of animal models, how much the drug’s therapeutic efficacy is due to its mu-agonist effects, its kappa-antagonist effects, or—as is most likely—the synergistic effects of both. Cholecystokinin, oxytocin, substance P, and other neuropeptides There are many other neuropeptides that hold promise as being significant vectors in contributing to depressive affect. We will only touch on them briefly, as the amount of critical evidence remains modest. However, considering the fact that neuropeptides add a great deal of emotional specificity to the neurochemical control of affect (Panksepp & Harro, 2004), these agents will continue to attract increasing attention in the search for better, more rapidly acting, and more specific therapeutic agents. Cholecystokinin (CCK) has long been a candidate as a neuropeptide that facilitates negative affect, especially of the type that is typically encapsulated by the term “anxiety” (Harro, Vasar, & Bradwejin, 1993). Abundant preclinical evidence has implicated changing CCK dynamics in social loss as studied in resident–intruder paradigms (Becker et al., 2001, 2008; Kroes, Panksepp, Burgdorf, Otto, & Moskal, 2006; Panksepp, Burgdorf, Beinfeld, Kroes, & Moskal, 2007; Panksepp et al., 2004), but there are currently no substantive clinical data indicating that blockade of this affectively negative neuromodulator will alleviate any form of depression. Oxytocin becomes a major candidate as a potential alleviator of depression in its role of being a major modulator of separation distress (Panksepp, 1998) and, 32 next to opiates, the best candidate for a key mediator of social attachments (Nelson & Panksepp, 1998). Hence, it would be anticipated that facilitation of brain oxytocin dynamics could yield some antidepressant effects. Indeed, the three-amino-acid tail of the oxytocin peptide (Pro-Leu-Gly) has been demonstrated to have antidepressant effects in both animal and human studies (Ehrensing, Kastin, Wurzlow, Michels, & Mebane, 1994). Based on the fact that substance P antagonists can reduce separation distress (Kramer et al., 1998), it was proposed that the receptor antagonists of this peptide might have antidepressant properties. After some initial promising results, it was clear that such effects were not unambiguously evident. Indeed, based on the fact that substance P is present in the RAGE pathway (from medial amygdala to medial and anterior hypothalamus), where it facilitates aggressive attack behavior and anger displays (Bhatt, Gregg, & Siegel, 2003), it could be argued that the more appropriate target for substance P antagonists might be extreme irritability and, perhaps, explosive disorders (Panksepp & Harro, 2004). There are probably many other neuropeptides that figure significantly in various depressive states but where hard data remain thin. For instance, global brain arousal is regulated by highly localized orexin-containing neurons in the lateral hypothalamus (Harris & Aston-Jones, 2006; Jones, 2005), and the depressogenic effects of dynorphin agonists may be partly due to suppression of orexigenic transmission. Whether orexin agonists can ameliorate some symptoms of depression remains to be seen. Thyrotropin-releasing hormone is also an arousalfacilitating neuropeptide, and hypothyroid states are commonly accompanied by depressive side effects. Although TRH by itself has not proved to be a reliable antidepressant, it appears capable of speeding up the onset of affective relief with traditional antidepressants, such as SSRIs, that take many weeks to yield full therapeutic effects (Lifschytz et al., 2006). The molecular regulators of immune modulation, the cytokines, are receiving ever more attention by depression researchers (De La Garza, 2005). Considering that the “despair” response that follows prolonged social separation may have many similarities to “sickness behavior” and may be associated with a spike of cytokine production (Hennessy, Deak, & Schiml-Webb, 2001), neural-immune interactions may be critical to genesis of some depressions. Investigators have found that administration of sickness-behavior-promoting cytokines such as interleukin-1 (IL-1) can provoke behavioral responses in animal models that resemble the outward Douglas F. Watt & Jaak Panksepp symptoms of depression (De La Garza, 2005). All of these issues suggest a multiplicity of interacting and looping control systems affecting fundamental moodgenerating and mood-regulating machinery. Evidence for such recursive and multifactorial control architectures can no longer be considered novel or surprising in virtually any area of neuroscience. Brain-derived neurotrophic factor Several recent reviews (Kozisek, Middlemas, & Bylund, 2008; Martinowich, Manji, & Lu, 2007) have emphasized a major paradigm shift in psychiatry regarding the treatment of depression, away from the assumption that alterations in monoamine dynamics are directly therapeutic in depression toward an increasing weight of opinion that these monoamine manipulations might have their therapeutic effect generated primarily via monoaminergically mediated upregulation of BDNF (Martinowich & Lu, 2008). The current challenge is to identify how BDNF generation and promotion of neuroplasticity might ameliorate depressive cascades (Groves, 2007; Martinowich, Manji, & Lu, 2007; Shelton, 2007). Neural network perspectives: BDNF and neuroplasticity In the late 1990s, there began to emerge an increasing interest in conceptualizing depression in increasingly molecular/cellular terms, as a degradation of neuroplasticity (see Duman, Heninger, & Nestler, 1997), based on increasing knowledge of how long-term antidepressant treatments result in the sustained activation of the cyclic AMP system in specific brain regions, including expression of the transcription factor cyclic adenosine monophosphate response element-binding protein (CREB). The activated cyclic adenosine 3′,5′monophosphate system was thought critical to the upregulation of specific target genes, including increased expression of BDNF in regions such as the hippocampus and cerebral cortex. Stress, on the other hand, decreases expression of BDNF, leading to atrophy of these same hippocampal neurons; this perspective is also supported by clinical imaging studies (Kanner, 2004). Emerging evidence also suggested that the degree of hippocampal atrophy or hippocampal volume loss is determined by the duration of the depressive illness, suggesting that stress cascades progressively thin out hippocampal dendritic spines (Bremner et al., 2000; Sheline, Sanghavi, Mintun, & Gado, 1999). Depression: An Evolutionarily Conserved Mechanism? 33 These initial probes informed an updated molecular and cellular hypothesis of depression emerging in the late 1990s, arguing that both stress-induced vulnerability to depression and the therapeutic action of antidepressant treatments occur via linked intracellular mechanisms that decrease or increase, respectively, neurotrophic factors necessary for the survival and function of particular neuronal populations. Recent work argues, however, that BDNF, like the monoamines, appears to have a “permissive” or indirect regulatory influence on mood (although, again, precise mechanisms remain elusive), but BDNF does not appear to be a direct mediator of mood state (Martinowich, Manji, & Lu, 2007). Supporting this conclusion is emerging evidence that genetic alterations in BDNF signaling pathways, including alterations in its receptor (TrkB), do not readily cause any clear depressive behavior to emerge in animal models, but they do interfere with the effects of antidepressant drugs in relationship to depression and chronic stress. Further complexities involve the manner in which upregulation of hippocampal BDNF appears behaviorally opposite to effects of upregulation of BDNF in VTA and nucleus accumbens, which appears prodepressive (Nestler & Carlezon, 2006). This suggests that fundamental work remains to untangle more precisely the various regulatory roles played by BDNF in the maintenance and modulation of mood. In any case, unmitigated stress cascades appear to drive the brain’s affective systems into a dysphoric state that can be reversed by chronic antidepressant administration, but increased serotonergic and noradrenergic tone may be important not as primary generators of euthymia, but via promotion of cAMP–CREB cascades, leading to increased BDNF. However, this perspective leaves quite unspecified the putative links between mood and such pro- versus anti-neuroplasticity factors. Why would animals and humans with better neuroplastic/neurotrophic brain environments and bigger hippocampi necessarily be happier? Why would animals and humans with impaired neuroplastic capacity or “pruned-out” hippocampal dendritic spines necessarily be depressed? While we do not have a clear answer to this question, there may be two dimensions to a possible set of answers. One dimension involves a functional distinction between dorsal and ventral hippocampal systems, with clear evidence that dorsal systems are much more involved in classic spatial memory and learning, while ventral portions of the hippocampus, particularly the dentate gyrus, have classic limbic connectivities (including centrally the nucleus accumbens, VTA, hypothalamus, bed nucleus of stria terminalis—all systems centrally involved in separation distress) and may play a central role in mood regulation, including regulation of both the mesolimbic dopamine system and the HPA stress axis (Sahay & Hen, 2007). This suggests that neurogenesis in the ventral portions of the hippocampus may be particularly critical to mood regulation and modulation of stress reactivity, but it should be remembered that so far the hippocampal neurogenesis story is based largely on correlative rather than causal evidence (for details, see the excellent review by Sahay & Hen, 2007). Additionally, mechanistic/molecular links between impaired neuroplasticity and brain shutdown may be intrinsic. In other words, any global shutdown mechanism would presumably have to affect neuroplasticity in a negative fashion, as a shutdown brain could not possibly be optimally tuned for either affective or cognitive learning, since this would almost be a contradiction in terms. In that sense, we would argue that impaired neuroplasticity may be derivative of this fundamental shutdown process—in a direct sense, a cellular–molecular manifestation of it—but this working hypothesis currently has no direct support. One testable prediction would be to see whether neurochemistries that seem to contribute to depressive despair, such as dynorphin and cholecystokinin, tend to generate the same stress-induced reductions in brain plasticity associated with classic chronic environmental stress paradigms. Neural network perspectives: possible neuromodulatory interactions in depression A popular metaphor about intact adaptive brain function is that it seems to depend consistently on a “balanced symphony” of neuromodulators. In terms of this metaphor, there needs to be a balance between percussion instruments and wind instruments, with neither of these drowning out the string section, and so forth. Of course, such metaphoric pictures do not give us heuristics for understanding neuromodulatory interactions in a more precise or detailed fashion. However, there is increasing awareness that multiple aminergic and peptidergic systems are extensively interdigitating and, indeed, may show a deep mutuality of regulatory influences on each other, although formal investigations into these interactions are just starting to be undertaken and appreciated. Figure 3 attempts to outline some of these relationships in a schematic form. An interesting implication of this schematic is that we could predict that declining opioidergic and oxytocinergic tone, along with upregulation of CRF and dynorphin, with all of these changes potentially associated with separation distress and other classic stressors, 34 Figure 3. Schematic for potential interactions between core neuromodulatory systems. Dashed lines denote inhibitory relationships, solid lines excitatory/promoting relationships. Raphe = 5HT/serotonin; LC = locus coeruleus/norepinephrine; VTA = ventral tegmental area/dopamine; CRF = corticotrophin-releasing factor; GABA = gamma amino butyric acid; SP = substance P; GLU = glutamate. (Modified from Ordway, Klimek, & Mann, 2004.) would lead to hypotonicity of both serotonergic and dopaminergic systems, along with potential overdriving of the LC. We also saw in our review of dynorphin in the nucleus accumbens that promotion of this negative opioid system could feedback also on VTA to produce declining motivation and a kind of affective shutdown. However, this is clearly a deeply interactive and interregulating set of neuromodulatory systems, and such hypotheses of aminergic disruption from primary peptidergic changes, although attractive, have yet to be clearly established. (See Table 1.) Testable predictions from primary hypothesis and questions on the frontier Our review of the neuroscience literature underlines several areas of continuing ignorance, and these include centrally the following unexplored questions and issues, along with three predictions (see the final five items): 1. In terms of hippocampal/HPA-axis/BDNF interactions and depression, there are many questions about the precise relationships between monoamine systems, cytokines, BDNF, the HPA axis, hippocampal volume, and mood. Does blocking upregulation of BDNF in human clinical popula- Douglas F. Watt & Jaak Panksepp tion prevent antidepressant efficacy, even if/when there is downregulation of serotonergic and noradrenergic receptors following classic antidepressant administrations? Would blocking normalization of the HPA axis and stress cascades (perhaps via a glucocorticoid manipulation?) while allowing the upregulation of BDNF prevent antidepressant efficacy? Is the antidepressant efficacy of BDNF expressed more through trophic affects on ventral hippocampus and its relationships with mood-generating systems including the hypothalamus? Conversely, would blocking BDNF expression in the accumbens be antidepressant? Would blocking cytokine production allow more rapid normalization of the HPA axis? Would it even be sufficient for a full antidepressant response? 2. What role does serotonin 5-HT2 play in potentially facilitating separation distress, given evidence that this subset of serotonin receptors is critically involved in dysphoric states? 3. Can sustained artificial activation of the CRF within the brain (while blocking peripheral elevation of stress cascades) promote a depressive cascade? 4. Can the mere CNS neurochemical facilitation of peptides that seem to figure in depression, such as dynorphin and cholecystokinin, promote a depressive phenotype in humans? 5. What roles do pleasure-promoting molecules such as endogenous opioids that facilitate mu- and deltareceptor activation have in the genesis and alleviation of depression? 6. To what extent are higher cognitive changes (e.g., dysphoric ruminations, as in right dorsolateral frontal cortical working memory fields) necessary for sustaining depressive affect? To what extent do just subcortical neurochemical/affective changes suffice for sustaining depression? 7. Can one generate depression with virtually no major changes in biogenic amine systems? 8. How do somatic therapies work to alleviate depression, especially new modalities such as transcranial magnetic and vagal stimulation? 9. For that matter, how does ECT work? Despite piles of correlates in terms of putative ECT effects, this remains an unknown for our arguably single most powerful biological therapy. 10. Predictions: i. Joint pharmacological promotion of mu opioids and oxytocin and simultaneous inhibition of kappa opioids and inhibition of CCK might Depression: An Evolutionarily Conserved Mechanism? Table 1. 35 Summary of current major treatments for depression and their primary effects Treatment for depression Relative effectiveness Primary effects (?) Tricyclics Probably somewhat more effective than SSRIs but with major side effects Blocking reuptake of 5-HT and NE MAO inhibitors Probably somewhat more effective than SSRIs but with major side effects Preventing breakdown of monoamines via MAO-A inhibition SSRIs Roughly 50% efficacy for any one drug, roughly 65% efficacy after using or trying several drugs. Blocking reuptake of serotonin SNRIs Roughly 50% efficacy for any one drug, roughly 65% efficacy after using or trying several drugs. Blocking reuptake of norepinephrine Atypical antidepressants Variable; often used as adjunctive agents, with SSRIs/SNRIs. Wellbutrin mostly DA reuptake; Tianeptine ↑ uptake of 5-HT; Mirtazapine 5-HT2 blockade, but multiple effects? Mixed 5-HT/NE reuptake inhibitors Probably somewhat more effective than “pure” Blocking of reuptake for both norepinephrine NE or 5-HT reuptake inhibitors and serotonin Lithium Regarded as adjunctive for monopolar depression, preventative for bipolar Many molecular effects, but therapeutic mechanism is unknown Electroconvulsive therapy (ECT) Highly effective, 80–95%, single most effective therapy, although some patients remain refractory; those do appear to respond to deep brain stimulation of area 25 Unknown. Re-baselining of neuromodulatory systems? Increased BDNF? Increased monoamines and GABA? Promotion of delta opioids? Hypothalamic and HPA axis rebaselining? Regional transcranial magnetic stimulation (TMS) Although initial studies suggested effectiveness Inhibition versus excitation of prefrontal on a par with ECT, a recent study did not cortical (PFC) tissues, promoting left PFC support this and/or inhibiting right PFC Vagal nerve stimulation Regarded as adjunctive to other therapies for refractory depression Unknown, but presumably activates parasympathetic nuclei in the lower brainstem, which may promote effects on PAG & other limbic structures Psychotherapies Variable. More effective in less severe depression and in depression associated with trauma Empathic support promoting reduced stress, improved regulation of negative states, and prosocial responses? Promotion of opioid and oxytocin systems? Deep brain stimulation Only one pilot study, but in severely ill and highly refractory population, 5/6 patients showed major benefit Neurodynamic disruption of overactive subcallosal cingulate (area 25) NMDA antagonism Rapid onset; degree of relative effectiveness largely unknown, but presumably fairly high. Not known, but presumably similar to psychomimetic effect, undercutting networks involved in affective inhibition Exercise Not extensively studied but may compete very effectively with first-line antidepressants. Grossly underutilized (esp. in view of multiple other health benefits and no “side effects”) Promotion of serotonin, VGF, and other growth factors, BDNF in hippocampus, opioids, and dopamine 36 Douglas F. Watt & Jaak Panksepp have a more powerful and direct antidepressant effect, with a faster onset, than promotion of either serotonin and/or norepinephrine, downstream effects on BDNF, promotion of hippocampal trophic processes, secondary upregulation of VTA, etc. ii. Provision of social support and empathic social connection would augment the effects of the above opioidergic and oxytocinergic pharmacologic manipulations, and the concurrent provision of such pharmacologic manipulation and social supports would be more effective in the treatment of depression than either alone. iii. Reducing various forms of separation distress (included its cognitive extensions in shame, guilt, loneliness, feelings of rejection, etc.) would be powerfully antidepressant, along with reducing attendant feelings of helplessness in the face of these affects. In other words, reducing a prototype driver for depression, and increasing the subject’s sense that one can respond adaptively to these stresses, would be powerfully antidepressant, in a way that would exceed effects of various forms of nonspecific support or other kinds of psychotherapy approaches. This prediction has never been tested. We would further predict that ratings of perceived therapist empathy around these specific issues (related to various forms of separation distress) would have the largest correlation with positive outcome ratings in the psychotherapy of depression. This prediction, to our knowledge, also has never been tested. iv. Aerobic exercise on a regular basis combined with exploratory psychotherapy would be more effective than any form of psychotherapy alone, and more effective than traditional amine psychopharmacology alone. Indeed, exercise may be the most underutilized effective intervention in the entire armamentarium of interventions, with virtually no downsides in terms of serious side effects and with many other health benefits (Ratey, 2008). v. Area 25 hyperactivity in refractory depression (Mayberg et al., 2005) may reflect a pathologically augmented separation-distress mechanism, perhaps associated with CRF overdrive or additional pathogenic suppressions of opioids and oxytocin chemistries. Accordingly, deactivation of this area in refractory depressed patients (where there is protracted hyperactivation) with deep brain stimulation might help recruit endogenous opioid or oxytocinergic mechanisms of the brain—a proposition that could be tested with receptor antagonists of these brain systems or with radioligands for these modulators to image these changes in refractory depression. Unfortunately there is no currently available animal model that we are aware of that would mirror area-25 hyperactivity in a depressive animal phenotype of depression. Heuristics and theoretical integration: the challenging multifactorial nature of depression In a previous target article on empathy in this journal (Watt, 2007), it was argued that although play, empathy, social bonding, contagion (the “infectiousness” of prototype emotion), and separation distress are all largely viewed as discrete processes currently in neuroscience and investigated quite independently of one another, we would argue that these putatively disparate phenomena could be considered interlocking threads, somehow jointly forming the full fabric of a deeply social brain. Therefore, it seems reasonable to us that these processes were selected in an integrated manner, by related evolutionary pressures. Each of these phenomena is part and parcel of a truly social brain, one in which the pleasures of social connection and the pains of social loss are first-rank motivators. Consistent with this argument, we would also hypothesize that the vulnerability to depression is probably intrinsic within this complex multidimensional fabric of a social brain. Some social brains are more vulnerable to this, some more resilient. Individuals with fortunate genetic endowments and supportive and loving upbringings may have intrinsic and robust protection against depression, but even those with more resilient genetic endowments and environmental good fortunes are never totally or permanently protected from the reach of intrinsic depressive mechanisms. At least some degree of depression lies only a major catastrophe away for virtually everyone. At present, where radical reductionism and individual neurochemical vectors are receiving primary attention in psychiatry, more integrated and “big-picture” psychobiological views of depression are badly needed. However, typical modes of scientific analysis are obviously not well suited for conducting the massive multifactorial studies that such integration would require. Thus, we are left, as usual, to patch together more holistic levels of understanding from the many factual parts that scientific analysis can spew out in abundance. However, the tendency to deemphasize possible primary psychological dimensions in depres- Depression: An Evolutionarily Conserved Mechanism? 37 sion within much of molecular psychiatry is, in our estimation, not as likely to lead to a satisfactory integration of all the available pieces of this challenging puzzle. After all, perhaps the major function of many brain networks, especially those related to emotions, is to generate various psychological processes. Put differently, psychological processes intrinsically index complex distributed functional networks. Future work will need to also integrate the many factors that have been identified by existing molecular approaches such as those summarized above, encompassing three monoamine systems, the cholinergic system, multiple neuropeptide systems including several opioid systems, neuroendocrine/stress axes, and immune/cytokine issues. Table 2 outlines what we currently know about the interactions of these core factors. While it is easy to assume from the current state-of-the-art that these constitute all the important pieces of the puzzle, further research may underline that even this impressive collection of issues is not the whole story. Surely, the complexity of interactions between these factors and the full complexity of the human brain humble even the most brilliant and determined empirical investigations and theoretical integrations. The continuing lesson may be that one cannot have too much humility in the face of Nature’s virtually infinite complexities. This brings us to another touchstone concept. In all fairness to the field, trying to delineate unitary “first causes” or “prime movers” in a system as massively recursive and interactive as the brain may be a doomed enterprise. From this perspective, the potential interactions between factors has received overall far less “air time” in the history of writings on depression than the many proposals promoting single- or primary-factor theories, although, in general, recent work seems more open to multifactorial points of view. Lessons on this point have been very evident in modern feeding and energy-balance research, which has exposed such a multifactorial puzzle box, where multiple layers of control can sustain homeostasis even when various seemingly critical factors are deleted from the overall equation (Horvath & Diano, 2004). Instead, it may be more heuristic and indeed much more practical to think in terms of an interactive matrix of factors that can lead to depression, but where individual variability may map onto differential loading of the various core factors (suggesting, among other things, that future optimal treatment of depression may require individually tuned multidimensional approaches). As Table 2 delineates, these putative core neurobiological factors regulate and massively influence one another. This suggests that any individual mind in a sense “lurches” sometimes unpredictably through a complex trajec- tory of neurochemical–neurodynamic space as these factors cascade and reverberate in one direction or another, in any particular instance of depression. This multifactorial nature may also help to explain why so many different therapies, ranging from exercise and psychotherapy to ECT and deep brain stimulation are antidepressant. Although we are a long way away from being able to explain why one antidepressant therapy works in one depressed individual and not in another, we suspect that an answer to this also lies somewhere in a deeper understanding of the dynamic relationships between these primary core factors in a depressive matrix. Although it has been long thought in psychopharmacology that “everyone’s chemoarchitecture is different,” interactions between these core factors in a depressive matrix may also be differentially gated across different individuals. From such an understanding, we may eventually be able to map this unanswered question of why one treatment works and another does not. Our review has sought to emphasize the oft-neglected relevance of opioids and oxytocin for understanding depressive cascades as critical modulators for social connection and social bonding and for how social connection protects brains against depression-generating chronic stress states. Table 2 underlines what we consider to be the handful of core factors constituting this “depressive matrix.” Core factors may consist of: (1) diminished tone in opioid and oxytocin systems associated with separation distress; (2) altered and chronic stress neurophysiology promoting upregulation of CRF and hypercortisolemia, leading to hippocampal atrophy, and the failure of negative feedback on the stress axis; (3) alterations in numerous amine as well as peptidergic neuromodulatory systems, and dysphoria-promoting CCK- and dynorphin-induced negative affects, creating inhibitory feedback on the ventral tegmental system dopamine and other catecholamine systems that sustain “energized” goal-directed bodily and mental activities; (4) a critical role played by the immune system, specifically cytokine generation, which appears synergistic with stress cascades. Cytokines may directly or indirectly promote glutamatergic overdrive and contribute to a hypotonic serotonin system as well (Muller & Schwartz, 2007), and they further promote withdrawal, fatigue, and behavioral and affective shutdown, impairing HPA-axis regulation by disrupting negative-feedback inhibition of CRF (Schiepers, Wichers, & Maes, 2005). Emphasizing that all of these factors may constitute an integrated matrix, there is evidence that social disconnection and separation distress (associated with changes in both opioid systems) result in potentiated stress cascades and increased cytokine 38 Douglas F. Watt & Jaak Panksepp Table 2. Depressive factor Neurobiological factors forming an interactive depressive matrix? Behavioral and symptomatic correlates Driven by Producing Increased CRF, hypercortisolemia, CCK, and reduced BDNF Multifactorial limbic influences on paraventricular nucleus promoting activation of HPA stress axis Increased dynorphin, decreased 5-HT, reduced neuroplasticity/hippocampal atrophy. Intensification of separation distress. Disrupted ventral hippocampal feedback on core affective regions? Dysphoria, sleep, and appetite loss. Reduced short-term memory, and other cognitive deficits? Increased acetylcholine Reduction of social and other rewards, opioid withdrawal, and any other social punishment Facilitation of separationdistress circuitry and other negative emotions? Effects on other core variables? Negative affect and excess attention to negativistic perceptions and thoughts? Decreased mu opioids and oxytocin Separation distress, other stressors, including physical illness and pain Disinhibition/release of stress cascades; decreased 5-HT and DA; overdriven NE. Promotion of cytokine generation? Anhedonia and sadness, reduced positive affect and reduced sense of connection? Suicidality? Increased dynorphin in accumbens/VTA Stress cascades Down regulation of VTA and mesolimbic DA system Anhedonia, dysphoria, loss of motivation Increased cytokines Acute but probably not chronic Promotion of stress cascades, stress, acute reduction of decreased serotonergic and opioids? increased glutamatergic tone. Impairment of HPA-axis negative feedback Reduced serotonergic drive/ vulnerability Stress, increased corticosteroids, cytokines, decreased mu opioids Lowered dopaminergic and increased noradrenergic drive. Less functional segregation among brain systems Poor affective regulation? Impulsivity. Obsessive thought, suicidality Diminished catecholaminergic (DA & NE) tone Constitutional vulnerability, stress and poor reward availability Reduced “signal-to-noise” processing in all sensory– perceptual and motor/ executive systems. Fatigue, diminished psychic “energy”: appetitive sluggishness, dysphoria. Impaired coordination of cognitive and emotional information processing generation (Hennessy, Deak, & Schiml-Webb, 2001). We believe that these interlocking pieces of a puzzle fit together, as differential facets of a basic depressive cascade, although the seams between the pieces cannot be completely stitched together at this time, especially in humans, because practically all the basic knowledge on which we rely has come from a diversity of animal brain–behavior research. However, this comprehensive review suggests that relationships between chronic stress and changes in opioids, cytokines, glutamate, Fatigue, malaise, and appetitive losses. Increased cognitive disruption. Anhedonia? dopamine, and other monoamine systems are intrinsic and clearly fundamental to depressive cascades (see Table 2). We believe that this view of depression emphasizes its intrinsic relationship to a prototype emotional state found in all mammals—separation distress—and offers solid conceptual bridgework upon which to base a search for new therapeutics. This view emphasizes the critical importance of social support in both the long-term protection against depression and its more Depression: An Evolutionarily Conserved Mechanism? 39 acute and subacute therapeutic management. Our perspective underlines that social-relationship issues have a close relationship to the fundamental neurobiology of depression because of their intrinsic connections to stress, cytokine promotion, and changes in multiple neuropeptide systems. We believe that the current treatment climate in psychiatry could significantly benefit from such an emphasis, as psychotherapy and social support have literally fallen off the radar in the treatment of many if not most patients with depression, due to a largely bottom-up neurochemical view of both etiology and treatment, to the serious long-term detriment of basic patient care. Opioids and oxytocin, maintained tonically in securely attached creatures, exercise a powerfully inhibitory effect on basic stress cascades. The protracted downregulation of these systems in the context of protracted separation distress may tonically facilitate stress responsivity. The promotion of CRF and the downregulation of opioids and oxytocin may rapidly shift the affective state of the brain from a more euthymic to a more dysthymic one. The older view of stress cascades failed to acknowledge their role in affective changes, viewing these changes in the HPA axis as if they were just physiological changes as opposed to ones that created psychological change. For a long time there has been comparative neglect of factors known to regulate separation distress and social attachments—namely, opioids and oxytocin systems—in preference for noradrenergic- and serotonergic-centered viewpoints. What was long left out of the overall puzzle were the major peptidergic variables most intimately and directly related to mood (mu and kappa opioids, CCK, CRF, dynorphin, and oxytocin). Protracted stress—the most prototypical being separation distress arising from social loss—may create an altered balance between mu, delta, and kappa opioids and oxytocin. Promotion of dynorphin and CCK tone, especially in the nucleus accumbens and VTA, and the resulting loss of motivation, including centrally the inhibition of attachment-related needs/drives, thus potentially transform separation distress from an acute (protest) phase to a sustained chronic (despair) form. This shutdown is assisted by the potential fatigue/sickness-promoting effects of proinflammatory cytokines. These parallel changes drive global inhibition of many specific motivations, from food appetite to erotic pursuits, generating a generalized anhedonia (with active dysphoria) and, thereby, loss of a more hopeful orientation toward life opportunities and normal reward seeking. Altered homeostasis, particularly sleep and appetite, may be caused not only by elevated CRF effects on several homeostatic and circadian hypotha- lamic systems, but also the diminished influence of prosocial neuropeptides. Such a sustained dysthymic mood may promote negative cognition (which may help sustain negative mood via positive-feedback effects of sustained ruminations), and the hypofunction in prefrontal and hippocampal systems—perhaps associated with several neuromodulatory shifts and the effects of excessive cortisol—results in the characteristic attentional, executive, and mildly amnestic cognitive deficits of depression. The fact that such a brain shutdown apparently is accompanied by fundamental neuroplasticity deficits (e.g., decreased neuronal proliferation in the hippocampus and reduced dendritic spines/connectivity) reinforces the psychic deficit. In this context, it is important to emphasize that even the most generous allowance for the causal role of a single factor may not come close to explaining all the changes that constitute a full-blown depressive episode. The variety of brain–mind factors that can contribute to depressive affect (see Table 2) also suggest that surely not every depression is precipitated simply by attachment losses, or even by “symbolic” or social-status losses. Anhedonia and dysphoria can have various causes, including endogenous neurochemical imbalances of the brain as well as withdrawal from various drugs of abuse. Polymorphisms of multiple genes involved in the neurochemical underpinnings of affective homeostasis can also presumably modify the thresholds for the induction of the various stress and affective cascades. However, it is now also eminently clear that early separation distress can promote lifelong dysregulation of hedonic homeostasis, leading to the disinhibition of negative affective processes and associated stress cascades. This combination of incompletely mapped genetic and somewhat betterunderstood early environmental factors results in the potentiation of future depressive processes that may be more easily triggered by any severe chronic form of stress besides its classic precipitation by various forms of separation distress. In fully considering the long-term consequences of early stress, we can envision how the whole system of regulatory controls over intrinsic depressive mechanisms becomes more fragile over the entire life span. The precise manner in which that happens remains as important chapters for both future animal-brain research and for human neuropsychoanalytic developmental research. Of course, we must stay open to there being several distinct types of unipolar depression that are not yet being adequately differentially diagnosed. Just as the neurobiological correlates of depression appear very multifactorial, developmental issues contributing to lifetime vulnerability in depression 40 appear equally so. Recent developmental modeling (Kendler, Gardner, & Prescott, 2002) confirms this multifactorial nature of developmental pathways into depression, outlining a host of “outside-the-skin” factors that presumably interact with multiple “inside-theskin” neurobiological variables in a fashion still poorly plotted. Kendler and colleagues, using a sophisticated statistical algorithm, found that roughly half of the variance for major depression in males could be explained by 18 factors and their interactions: genetic risk, low parental warmth, childhood sexual abuse, parental loss (early-childhood factors), neuroticism, low self-esteem, early-onset anxiety, and conduct disorder (early-adolescence factors), low educational achievement, lifetime traumas, low social support, and substance misuse/abuse (late-adolescence factors), history of divorce and past history of major depression (adult factors), and factors taking place in the last year (lastyear marital problems, other personal difficulties, and stressful life events). How these are all interrelated in the brain remains uncertain. Similar modeling was done for females in an earlier study, with slightly more than 50% of the variance explainable in terms of a similar complex of factors (Kendler, Gardner, & Prescott, 2002). Given that even with such a complex matrix of predisposing variables they could only explain slightly less than 50% of the variance further underlines the challenging heterogeneity of depression in terms of its multifactorial developmental pathways. In addition to the risk factors outlined in these models, it seems obvious that chronic pain as well as perhaps numerous other chronic illnesses can be powerfully depressogenic, presumably by virtue of chronic activation of stress and immunological/cytokine cascades and relative hypoactivation of mu-opioid systems that may require not just social comfort and secure attachment but also general physical wellness for their maximum tonic promotion. Although the present formulation, with its focus on the separation-distress and attachment processes of the mammalian brain, may not explain every aspect of depression, it aspires to integrate diverse lines of basic brain, affective neuroscientific, and psychological thought into a theoretically coherent view of one major subtype of depression that can promote new lines of inquiry. It may also potentially help explain striking findings such as the rapid antidepressant effects of glutamate receptor antagonists such as ketamine (Zarate et al., 2006), since the separation-distress response is rapidly diminished with glutamatergic antagonists (Panksepp, 1998). Conversely, it is known that separation distress and other negative emotions can be dramatically intensified by increased glutamatergic drive Douglas F. Watt & Jaak Panksepp (see Panksepp, 1998, Figs. 14.7 & 14.8), suggesting a possible mechanism for the antidepressant efficacy of NMDA antagonists. The rich cornucopia of integrative thought in this area that is provided by an affective neuroscientific understanding of the primary emotional processes that help construct the mammalian social brain provides a novel and heuristic framework for the further study of depression. Hopefully this review will facilitate such research efforts. Conclusions: psychotherapeutic and neuropsychoanalytic implications Freud was deeply interested in the problem of depression, and his classic work on “mourning and melancholia” (1917e [1915]) began a long-term psychoanalytic interest in the subject. Although a detailed summary of the psychoanalytic literature on depression is beyond the scope of this article, several points are worth highlighting. Consistent with a Helmholtzian mechanistic–hydraulic image of drives that has clearly not been neurobiologically validated, early psychoanalysis tended to gravitate toward classically simple metaphors for affective states, in terms of putative dysfunction in drive systems, such as the notion that anxiety was “dammed-up libido,” while depression reflected “aggressive drives directed against the self.” These ideas have received little empirical support. A larger, more recent thread within psychoanalytic literature, however, has emphasized the close and intrinsic relationships between depression and object loss (Bowlby, 1969), between helplessness and the frustration of narcissistic needs related to the maintenance of self-esteem (Bibring, 1953), and between a basic vulnerability to depression in adult life and early attachment trauma involving object loss, neglect, or abuse (Jacobsen, 1964, 1971). We believe that low self-esteem may derive from the total amount of “psychic pain” an individual endures, associated with an overactive separation-distress/PANIC system and underactive or disregulated SEEKING urges. (For a more recent discussion of brain and self, following psychoanalytic object-relations theory, see Panksepp & Northoff, 2009.) These pathways may constitute a developmental foundation for vulnerability to depression, as psychoanalytic perspectives have emphasized for many decades that low self-esteem is associated with early exposure to neglect/abandonment, maternal or early rejection, excessive induction of shame and guilt, abuse, or variable combinations of the above. In this sense, low self-esteem might be a structural derivative of various forms of separation distress as- Depression: An Evolutionarily Conserved Mechanism? 41 sociated with recurrent empathic and attunement failures, through critical periods of development (Schore, 1994; Watt, 2007). These areas of the psychoanalytic literature, including results from early observational and developmental work on children, offer genuine insights. In Bibring’s classic monograph (Bibring, 1953), he argued that depression came from the “helplessness of the ego to achieve goals necessary for the maintenance of selfesteem,” including, prototypically, helplessness in the face of emotional/attachment losses and loss of love. This monograph was significant in terms of its movement away from the simplistic hydraulic/electrical drive metaphors of earlier metapsychology and toward a more ego-psychological/object-relations perspective, even though Bibring himself was not an object-relations theorist per se, and for its emphasis specifically on helplessness, self-esteem, and attachment relatedness. Bibring’s thinking in a sense presaged later work by Bowlby and major reviews by Allan Schore (1994), all of which reaffirmed the central importance of the rupture of social connection in depression. We will not here attempt to formulate a coherent bridge between the abundant neuroscience data summarized above and implications for the psychotherapeutic “arts,” but simply note that the database indicating how various psychotherapies can modify brain functions has been growing rapidly (Etkin, Pittenger, Polan, & Kandel, 2005; Roffman, Marci, Glick, Dougherty, & Rauch, 2005). Some of the basic science of separation distress that emerged three decades ago when Bowlby’s synthesis was emerging (Panksepp et al., 1978a, 1978b, 1980) has now been translated into human brain imaging (Swain, Lorberbaum, Korse, & Strathearn, 2007) and psychiatric conceptualizations of panic disorders (Preter & Klein, 2008) and of grief dynamics (Freed & Mann, 2007). It is likely that certain individuals are much more susceptible than others to the psychic pain of separation distress, some because of genetic sensitivities (Barr et al., 2008) and others because of early-life vicissitudes (Heim & Nemeroff, 1999). The separation-distress sensitivity variant of the mu-opioid receptor allele C77G has a potential counterpart in humans, the A118G variant (Barr et al., 2008). It would be most interesting to see whether humans with this allelic variant are more susceptible to the psychic pain of separation distress and, if so, whether they are overrepresented in depressed populations seeking therapy. If this is the case, will this type of individual respond better to certain psychotherapeutic modalities than will individuals who are more resilient to the effects of this primal affect? Given possible alterations in mu-opioid dynamics, would these individuals be strong candidates for a drug like buprenorphine? There is no empirical work (yet) on which to make such a judgment. We would also briefly note that fMRI studies are beginning to provide insights about how higher brain dynamics in depression interact with the more primal mechanisms of self-referential information processing (Northoff & Panksepp, 2008; Panksepp & Northoff, 2009). These techniques now allow better integration between third-person neuroscientific and first-person psychodynamic perspectives (Northoff, Bermpohl, Schoeneich, & Boeker, 2007), with special insights in the study of depression. Depressive disorders show more distinct changes in the subcortical–cortical midline system (the so-called default mode network) than in other brain regions (Grimm et al., in press), with a shift from more externally focused left dorsolateral prefrontal working memory networks to affectively self-centered right-sided “self-worrying” networks (Grimm et al., 2008). Thereby, depressed patients commonly show increased self-focusing, with profound social withdrawal, negativistic ruminations, and lack of engagement with provocative environmental challenges (Northoff, 2007). Since this article is already quite long and detailed, we will not attempt to provide any comprehensive overview for the increasingly neglected psychotherapeutic aspects of treating depression; rather, we wish to throw this critical issue open for discussion among commentators. We would simply say that our own bias is to envision psychotherapy to be very dependent on both patient and therapist characteristics, and we would affirm that an evolutionary hierarchical vision of brain–mind functions is essential for progress on these issues (Lane & Garfield, 2005). In our vision of hierarchical structures, which can incorporate both bottom-up and top-down perspectives, with continual two-way circular causality (see Gallagher, 2008), it is important to have some clear distinctions between levels of control, especially primary-process affective levels (as summarized in Panksepp, 1998), secondary-process levels (basic mechanisms of learning and memory, as summarized in LeDoux, 1996), and tertiary-process levels (all the higher cognitive-thoughtful processes that are largely impossible to study in animal models, about which psychoanalysts and other clinicians have written in great length and depth). Indeed, psychodynamics, emphasizing notions of defense as a form of “stop-gap affective regulation,” may be a kind of global shorthand for how complex corticolimbic systems that must span such a hierarchy of levels might work (see Watt, 1990). How one might better integrate all of this neurobiological understanding with the art 42 of psychotherapy is still largely unmapped. We would throw this matter open for discussion among our expert panel of discussants. No one from a psychodynamic or psychoanalytic background needs any convincing that psychodynamics must play a huge role in orchestrating how attachments play out, with an uncanny capacity for repetition of earlier scenarios in current attachments—what Freud (1914g, 1920g) termed “the repetition compulsion.” Freud’s insights about repetition compulsions could prove to be very scientifically productive, although unfortunately this concept got tied to problematic metapsychology, in terms of notions about a “death instinct,” instead of it being considered as simply intrinsic to brain–emotional habit systems (aka limbic basal ganglia) and to the natural tendency to gravitate to the familiar. No one doing long-term psychotherapy would need any convincing that the trajectory of patients’ lives often show, in some sense, a kind of “structuralizing” of early experiences of abandonment and loss and attunement failure, with repetition of key scenarios over and over again. Indeed, we would argue that the concept of the repetition compulsion has been given short shrift in developmental thinking in general. It underlines how we are all, in a sense, trying to win battles we lost a long time ago and that present events that recapitulate past traumas are going to be powerfully mobilizing of the most painful negative affects. Contemporary biological psychiatry is paying precious little attention to such issues, having lost touch with any notion about “the mental apparatus,” as the onslaught of molecular options provided apparently easier answers to human problems than did any meeting of human minds to explore mind and emotional dynamics. Currently, psychotherapy in any form has become seriously underutilized in the treatment of many clinical depressions (see STAR*D work: Rush, 2007). At the same time, let us share our biases concerning the therapeutic arts. There has been an almost “ideological” elevation of cognitive behavioral therapy and to a lesser extent interpersonal psychotherapy as the only appropriate psychotherapies for patients with major depression. A basic problem in all psychotherapy research is the assumption that the putative dynamics of the psychotherapy “type” actually truly describe in a comprehensive way how clinicians actually work with patients. We would emphasize that an emotionally supportive but still exploratory psychotherapy approach to depression is, in our judgment, seriously clinically underutilized. Judicious and careful empathic exploration of hurtful losses in which patients feel fundamentally helpless to mitigate the loss or attendant feelings Douglas F. Watt & Jaak Panksepp of rejection or abandonment precipitating depressive shutdowns, and the presentation to the patient of realistic options beyond “giving up,” may constitute the most essential elements of effective psychotherapy in depression. We would simply propose that reducing helplessness and any attendant sense of isolation in the face of almost any deeply painful experience is likely to be powerfully and prototypically antidepressant, in any form of psychotherapy, as it directly undercuts any sense of hopeless loss. Indeed, empathic social support was perhaps the original antidepressant (along with playfulness) long before we had neurochemical modulators, or even much psychological or psychoanalytic theory. Such psychotherapeutic work will be most difficult when the most relevant life vicissitudes occurred very early in life before symbolic processing had emerged. In these situations, the maladaptive processes may be so deeply ingrained in presymbolic modes of coping and operating in the social world, such as ingrained repetition compulsions, that it will be essential for clinicians to pay attention to more deeply affective and preconscious currents expressed in interpersonal behavior, but rarely if ever in words, and bring them back into the realm of human discourse. Ultimately pluralism has to become a way of life for all skillful therapists, and therapists must become at least somewhat conversant in both the neurochemical complexities of affective processes and the vast menageries of higher awareness and other mental processes with which they interact. How shall we bring these many different kinds of perspectives toward a more fruitful union? We welcome all insights and critiques that our commentators would wish to share. APPENDIX Animal models of depression Recent work argues that there are probably four major animal models for depression: a separation-distress model (discussed in the main body of the paper), a social-status loss model, an olfactory bulb resection model, and a large variety of learned-helplessness and chronic-stress models. There is remarkably little integration across these four types of models in the animal literature in terms of putative mechanisms, although we would argue that the separation-distress model is the closest to the human clinical condition and, additionally, that the social-status loss model and the separation-distress model are very close cousins and that stress models are a general class of models intrinsically related to separation distress as a prototype stressor. Depression: An Evolutionarily Conserved Mechanism? 43 There is an implicit if not explicit assumption in much of the clinical literature that all of these models may be inadequate in relationship to human clinical depressions, because none of them can adequately model the changes in cognitive state or recreate our characteristic depressive cognitions. However, we would argue that because depression, at least in some form, is a conserved mammalian-brain mechanism, and because there are remarkable homologies with respect to the basic affective machinery in mammalian and human brains (Panksepp, 1998), all of these models are still invaluable and have proven their value over and over again in heuristic antidepressant drug design and are especially useful in dissecting the endophenotypic brain changes that characterize depression (McArthur & Borsini, 2006). This suggests that the states referenced in these four models are likely to be important animal analogs to human depression. The social-status loss model is an ethological model with a great deal of face validity (Panksepp, Moskal, Panksepp, & Kroes, 2002). It typically consists of the resident–intruder aggression paradigm, where an intruder placed into the environment occupied by a paired male and female rapidly gets attacked and typically loses (Malatynska, Rapp, Harrawood, & Tunnicliff, 2005). There are a variety of neuropeptide and genetic changes in the animals that have lost in such social encounters, yielding various candidate vectors for the depressive cascade (e.g., Kroes et al., 2006; Panksepp et al., 2004, 2007), with the most comprehensive analysis having appeared recently characterizing the massive gene-expression changes in the brain that result differentially in varying degrees of “resilience” to this classic stress paradigm (Krishnan et al., 2007). Unfortunately, in Krishnan and colleagues’ superb study, the actual aggressive behavior of animals was not monitored, thus we do not know whether the “resilient” animals were paired in less aggressive encounters than were the “nonresilient” mice. The olfactory bulb model indeed seems the furthest from human clinical concerns, but it is a robust depression analog in terms both of behavioral state and of response to chronic antidepressant administration (Cai & Leonard, 2006). We would argue that it is an exceptionally cruel and perhaps in some sense even an unethical model. It is very difficult for most humans, with their relative lack of dependence on olfaction, to appreciate the truly devastating impact that loss of olfaction might have on the brain, where the primary afferent/sensory inputs into a host of limbic system structures are olfactory. Loss of olfaction (in target rodent species) probably removes a/the primary afferent driver from a host of limbic system structures and is presumably at least as devastating to an animal with a heavy reliance on olfaction as would loss of hearing and eyesight be to a heavily exteroceptive creature like ourselves. Indeed, since our exteroceptive distance-related sensory modalities of hearing and vision only gain access to limbic structures after a host of intermediate relays through idiotypic–unimodal–heteromodal–paralimbic cortical connectivities,4 it may be a more intrinsically affectively devastating brain lesion than an adult human losing both vision and audition. Because of this fundamental architectural difference between our brains and those of “lower” mammals, it is probably difficult for human beings to appreciate how depressing such a loss of olfaction is for olfactory animals, but it is probably intrinsically more depressing than our losing all our exteroceptive abilities. In this sense, olfactory bulb loss may recruit whatever endogenous “shutdown” mechanisms are embedded in mammalian limbic architectures, because those architectures are no longer in a position to process critical world inputs and in a real sense may have “very little to do.” Stripped of any ability to make value judgments about the desirability or undesirability of various afferent stimuli, animals suffering from olfactory bulb resection are in a real sense “limbically blinded.” Consistent with this, animal models for olfactory bulb resection do show signs of hypercortisolemia and promotion of stress cascades, and one would also predict decreased central mu-opioid and increased kappa-opioid processes, although to our knowledge this has not yet been empirically described. Thus, although this animal model for depression seems very far from our central hypothesis, we would argue indeed that it is deeply consistent with the idea of an endogenous shutdown mechanism embedded in limbic reticular relationships, because such a devastating loss of afferent inputs presumably would recruit exactly those endogenous shutdown mechanisms, as a kind of “system default.” Learned-helplessness animal models for depression, 4 There are presumably some neurodynamically significant brainstem sensory–limbic connectivities operating also in humans, such as interactions between the superior colliculus and PAG, and other subcortical pathways such as the “fast” thalamic–amygdala pathway made famous by Joe LeDoux’s (1996) research. However, it is likely that sensory information in humans reaches paralimbic and limbic system structures primarily after extensive cortical relays, with the exception of olfactory information, which has direct access to influencing emotional states. Olfaction is obviously a chemical sense modality, but it may have intrinsic codes in terms of primary access to prototype emotional systems in subcortical/limbic architectures (for example, rodents appear to have a genetically coded aversion to the smell of cat fur, capable of activating strong fear states). This kind of intrinsic value coding of olfactory stimuli, while obviously modifiable through learning and new experiences, would make species heavily dependent on olfaction especially susceptible to depression when olfactory bulbs are damaged. 44 chiefly consisting of subjecting animals to uncontrollable foot shocks or other aversive events such as forced swimming or enforced bodily restraint for which there are no available salvation contingencies, have found evidence for changes in both serotonergic and noradrenergic systems, along with upregulation of CRF. All of these models have been extensively reviewed recently (see Neuroscience and Biobehavioral Reviews, 2006, vol. 29) and will not be detailed here. REFERENCES Alcaro, A., Huber, R., & Panksepp, J. (2007). Behavioral functions of the mesolimbic dopaminergic system: An affective neuroethological perspective. Brain Research Reviews, 56: 283–321. Allen, N. B., & Badcock, P. B. T. (2006). Darwinian models of depression: A review of evolutionary accounts of mood and mood disorders. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 30: 815–826. Anand, A., Li, Y., Wang, Y., Gardner, K., & Lowe, M. J. (2007). Reciprocal effects of antidepressant treatment on activity and connectivity of the mood regulating circuit: An fMRI study. Journal of Neuropsychiatry and Clinical Neuroscience, 19: 274–282. APA (1994). Diagnostic and Statistical Manual of Mental Disorders (4th edition). Washington, DC: American Psychiatric Association. Baker, G. B., Coutts, R. T., & Greenshaw, A. J. (2000). Neurochemical and metabolic aspects of antidepressants: An overview. Journal of Psychiatry & Neuroscience 25: 481–496. Bale, T. L., & Vale, W. W. (2004). CRF and CRF receptors: Role in stress responsivity and other behaviors. Annual Review of Pharmacology and Toxicology, 44: 525–557. Bals-Kubik, R., Ableitner, A., Herz, A., & Shippenberg, T. S. (1993). Neuroanatomical sites mediating the motivational effects of opioids as mapped by the conditioned place preference paradigm in rats. Journal of Pharmacology and Experimental Therapeutics, 264 (1): 489–495. Barden, N. (2004). Implication of the hypothalamic–pituitary– adrenal axis in the physiopathology of depression. Journal of Psychiatry & Neuroscience, 29: 185–193. Barr, A. M., & Markou, A. (2005). Psychostimulant withdrawal as an inducing condition in animal models of depression. Neuroscience and Biobehavioral Reviews, 29: 675–706 Barr, A. M., Markou, A., & Phillips, A. G. (2002). A “crash” course on psychostimulant withdrawal as a model of depression. Trends in Pharmacological Sciences, 23: 475–482. Barr, C. S., Schwandt, M. L., Lindell, S. G., Higley, J. D., Maestripieri, D., Goldman, D., et al. (2008). Variation at the mu-opioid receptor gene (OPRM1) influences attachment behavior in infant primates. Proceedings of the National Academy of Sciences, USA, 105: 52777–52781. Becker, C., Thiebot, M., Touitou, Y., Hamon, M., Cesselin, F., & Benoliel, J. J. (2001). Enhanced cortical extracellular Douglas F. Watt & Jaak Panksepp levels of cholecystokinin-like material in a model of anticipation of social defeat in the rat. Journal of Neuroscience, 21 (1): 262–269. Becker, C., Zeau, B., Rivat, C., Blugeot, A., Hamon, M., & Benoliel, J. J. (2008). Repeated social defeat-induced depression-like behavioral and biological alterations in rats: Involvement of cholecystokinin. Molecular Psychiatry, 13 (12): 1079–1092. Berridge, K. C. (2004). Motivation concepts in behavioral neuroscience. Physiology & Behavior, 81: 179–209. Berridge, K. C. (2007). The debate over dopamine’s role in reward: The case for incentive salience. Psychopharmacology, 191: 391–431. Berton, O., & Nestler, E. J. (2006). New approaches to antidepressant drug discovery: Beyond monoamines. Nature Reviews. Neuroscience, 7: 137–151. Bevins , R. A., & Besheer, J. (2005). Novelty reward as a measure of anhedonia. Neuroscience & Biobehavioral Reviews, 29: 707–714. Bhagwagar, Z., Whale, R., & Cowen, P. J. (2002). State and trait abnormalities in serotonin function in major depression. British Journal of Psychiatry, 180: 24–28. Bhatt, S., Gregg, T. R., & Siegel, A. (2003). NK1 receptors in the medial hypothalamus potentiate defensive rage behavior elicited from the midbrain periaqueductal gray of the cat. Brain Research, 966: 54–64. Bibring, E. (1953). The mechanism of depression. In: Affective Disorders, ed. P. Greenacre. New York: International Universities Press, pp. 13–48. Bilkei-Gorzo, A., Michel, K., Noble, F., Roques, B. P., & Zimmer, A. (2008). Preproenkephalin knockout mice show no depression-related phenotype. Neuropsychopharmacology, 196: 327–335. Bleuler, M. (1919). The Internal Secretions and the Nervous System. Nervous and Mental Disease Monograph Series, No. 30. New York: Nervous and Mental Disease Publishing Company. Bodkin, J. A., Zornberg, G. L., Lukas, S. E., & Cole, J. O. (1995). Buprenorphine treatment of refractory depression. Journal of Clinical Psychopharmacology, 15 (1): 49–57. Bowlby, J. (1969). Attachment, Vol. 1: Attachment and Loss (2nd edition). New York: Basic Books, 1999. Bowlby, J. (1980). Attachment and Loss, Vol. 3. Loss: Sadness and Depression. New York: Basic Books. Boyle, M. P., Brewer, J. A., Funatsu, M., Wozniak, D. F., Tsien, J. Z., Izumi, Y., et al. (2005). Acquired deficit of forebrain glucocorticoid receptor produces depression-like changes in adrenal axis regulation and behavior. Proceedings of the National Academy of Sciences, USA, 102 (2): 473–478. Bremner, J. D., Narayan, M., Anderson, E. R., Staib, L. H., Miller, H. L., & Charney, D. S. (2000). Hippocampal volume reduction in major depression. Americqn Journal of Psychiatry, 157: 115–117. Brudzynski, S. (2007). Ultrasonic calls of rats as indicator variables of negative or positive states: Acetylcholine–dopamine interaction and acoustic coding. Behavioural Brain Research, 182: 261–273. Depression: An Evolutionarily Conserved Mechanism? 45 Burke, H. M., Davis, M. C., Ottec, C., & Mohra, D. C. (2005). Depression and cortisol responses to psychological stress: A meta-analysis. Psychoneuroendocrinology, 30: 846–856. Cai, C., & Leonard, B. E. (2006). The olfactory bulbectomised rat as a model of depression. Neuroscience and Biobehavioral Reviews, 29: 627–647. Calabrese, F., Molteni, R., Maj, P. F, Cattaneo, A., Gennarelli, M., Racagni, G., et al. (2007). Chronic duloxetine treatment induces specific changes in the expression of BDNF transcripts and in the subcellular localization of the neurotrophin protein. Neuropsychopharmacology, 32: 2351–2359. Callaway, E. (1996). Buprenorphine for depression: The unadoptable orphan. Biological Psychiatry, 39 (12): 989–990. Cameron, N. M., Champagne, F. A., Parent, C., Fish, E. W., Ozaki-Kuroda, K., & Meaney, M. J. (2005). The programming of individual differences in defensive responses and reproductive strategies in the rat through variations in maternal care. Neuroscience and Biobehavioral Reviews, 29: 843–865. Carlezon, W. A., Beguin, C., DiNieri, J. A., Baumann, M. H., Richards, M. R., Todtenkopf, M. S., et al. (2006). Depressive-like effects of the kappa-opioid receptor agonist salvinorin A on behavior and neurochemistry in rats. Journal of Pharmacology and Experimental Therapeutics, 316: 440–447. Castrén, E. (2005). Is mood chemistry? Nature Reviews. Neuroscience, 6: 241–246. Celada, P., Puig, M., Amargós-Bosch, M., Adell, A., & Artigas, F. (2004). The therapeutic role of 5-HT1A and 5-HT2A receptors in depression. Journal of Psychiatry & Neuroscience, 29: 252–265. Charmandari, E., Tsigos, C., & Chrousos, G. (2005). Endocrinology of the stress response. Annual Review of Neuroscience, 6: 463–475. Charney, D. S., Nestler, E. J., & Bunney, B. S. (1999). Neurobiology of Mental Illness. New York: Oxford University Press. Coppen, A., Eccleston, E., Craft, I., & Bye, P. (1973). Total and free plasma-tryptophan concentration and oral contraception [Letter]. Lancet, 2: 1498. Cowen, P. J., Parry-Billings, M., & Newsholme, E. A. (1989). Decreased plasma tryptophan levels in major depression. Journal of Affective Disorders, 16: 27–31. de Kloet, E. R., Joëls, M., & Holsboer, F. (2005). Stress and the brain: From adaptation to disease. Nature Reviews. Neuroscience, 6, 463–475. De La Garza, R., II (2005). Endotoxin- or pro-inflammatory cytokine-induced sickness behavior as an animal model of depression: Focus on anhedonia. Neuroscience and Biobehavioral Reviews, 29: 761–770. Delgado, P. L. (2000). Depression: The case for a monoamine deficiency. Journal of Clinical Psychiatry, 61 (Suppl. 6): 7–11. Delgado, P. L. (2004). Treatment of mood disorders. In: Textbook of Biological Psychiatry, ed. J. Panksepp. New York: Wiley, pp. 231–266. Delgado, P. L., Charney, D. S., Price, L. H., Aghajanian, G. K., Landis, H., & Heninger. G. R. (1990). Serotonin function and the mechanism of antidepressant action: Reversal of antidepressant-induced remission by rapid depletion of plasma tryptophan. Archives of General Psychiatry, 47: 411– 418. Delgado, P. L., Price, L. H., Heninger, G. R., & Charney, D. S. (1992). Neurochemistry of affective disorders. In: Handbook of Affective Disorders, ed. E. S. Paykel. New York: Churchill Livingstone, pp. 219–253. Dortch-Carnes, J., & Potter, D. E. (2005). Bremazocine: A kappa-opioid agonist with potent analgesic and other pharmacologic properties. CNS Drug Reviews, 11: 195–212. Dranovsky, A., & Hen, R. (2006). Hippocampal neurogenesis: Regulation by stress and antidepressants. Biological Psychiatry, 59: 1136–1143. Drevets, W. C., Frank, E., Price, J. C., Kupfer, D. J., Holt, D., Greer, P. J., et al. (1999). PET imaging of serotonin 1A receptor binding in depression. Biological Psychiatry, 46: 1375–1387. Drew, M. R., & Hen, R. (2007). Adult hippocampal neurogenesis as target for the treatment of depression. CNS Neurological Disorders Drug Targets, 6 (3): 205–218. Dubrovsky, B. (2006). Neurosteroids, neuroactive steroids, and symptoms of affective disorders. Pharmacology Biochemistry and Behavior, 84: 644–655. Duman, R. S., Heninger, G. R., & Nestler, E. J. (1997). A molecular and cellular theory of depression. Archives of General Psychiatry, 54: 607–608. Duman, R. S., & Monteggia, L. M. (2006). A neurotrophic model for stress-related mood disorders. Biological Psychiatry, 59: 1116–1127. Duval, F., Mokrani, M. C., Ortiz, J. A., Schulz, P., Champeval, C., & Macher, J. P. (2005). Neuroendocrine predictors of the evolution of depression. Dialogues in Clinical Neuroscience, 7: 273–282. Ehrensing, R. H., Kastin, A. J., Wurzlow, G. F., Michell, G. F., & Mebane, A. H. (1994). Improvement in major depression after low subcutaneous doses of MIF-1. Journal of Affective Disorders, 31 (4): 227–233. Elliot, O., & Scott, J. P. (1961). The development of emotional distress reactions to separation, in puppies. Journal of Genetic Psychology, 99: 3–22. Etkin, A., Pittenger, C., Polan, H. J., & Kandel, E. R. (2005). Toward a neurobiology of psychotherapy: Basic science and clinical applications. Journal of Neuropsychiatry Clinical Neuroscience, 17: 145–158. Fink, M., & Taylor, M. A. (2007). Resurrecting melancholia. Acta Psychiatrica Scandinavica, 433 (Suppl.): 14–20. Fitzgerald, P. B., Oxley, T. J., Laird, A. R., Kulkarni, J., Egan, G. F., & Daskalakis, Z. J. (2006). An analysis of functional neuroimaging studies of dorsolateral prefrontal cortical activity in depression. Psychiatry Research, 148: 33–45. Flory, J. D., Mann, J. J., Manuck, S. B., & Muldoon, M. F. (1998). Recovery from major depression is not associated with normalization of serotonergic function. Biological Psychiatry, 43: 320–326. Flory, J. D., Manuck, S. B., Matthews, K. A., & Muldoon, M. F. 46 (2004). Serotonergic function in the central nervous system is associated with daily ratings of positive mood. Psychiatry Research, 129: 11–19. Flügge, G., van Kampen, M., Meyer, H., & Fuchs, E. (2003). Alpha2A and alpha2C-adrenoceptor regulation in the brain: Alpha2a changes persist after chronic stress. European Journal of Neuroscience, 17: 917–928. Freed, P. J., & Mann, J. J. (2007). Sadness and loss: A neurobiopsychosocial model. American Journal of Psychiatry, 164: 28–34. Freud, S. (1914g). Remembering, repeating and workingthrough. Standard Edition, 12. Freud, S. (1917e [1915]). Mourning and melancholia. Standard Edition, 14. Freud, S. (1920g) Beyond the Pleasure Principle. Standard Edition, 18. Furey, M. L., & Drevets, W. C. (2006). Antidepressant efficacy of the antimuscarinic drug scopolamine: A randomized, placebo-controlled clinical trial. Archives of General Psychiatry, 63: 1121–1129. Gallagher, S. (2008). Brainstorming: Views and Interviews on the Mind. Exeter: Academic Press. Grimm, S., Beck, J., Schuepbach, D., Hell, D., Boesiger P., Bermpohl, F., et al. (2008). Imbalance between left and right dorsolateral prefrontal cortex in major depression is linked to negative emotional judgment: An fMRI study in severe major depressive disorder. Biological Psychiatry, 63: 369–376. Grimm, S., Grimm, S., Boesiger, P., Beck, J., Schuepbach, D., Bermpohl, F., et al. (in press). Altered negative BOLD responses in the default-mode network during emotion processing in depressed subjects. Neuropsychopharmacology. Groves, J. O. (2007). Is it time to reassess the BDNF hypothesis of depression. Molecular Psychiatry, 12: 1079–1088. Haggendal, J., & Lindqvist, M. (1964). Disclosure of labile monoamine fractions in brain and their correlation to behaviour. Acta Physiologica Scandinavica, 60: 351–357. Harris, G. C., & Aston-Jones, G. (2006). Arousal and reward: A dichotomy in orexin function. Trends in Neurosciences, 29: 571–577. Harris, J. C. (1989). Experimental animal modeling of depression and anxiety. Psychiatric Clinics of North America, 18: 815–836. Harro, J., & Oreland, L. (2001). Depression as a spreading adjustment disorder of monoaminergic neurons: A case for primary implications of the locus coeruleus. Brain Research Reviews, 38: 79–128. Harro, J., Vasar, E., & Bradwejin, J. (1993). Cholecystokinin in animal and human research on anxiety. Trends in Pharmacological Sciences, 14: 244–249. Hasebe, K., Kawai, K., Suzuki, T., Kawamura, K., Tanaka, T., Narita, M., et al. (2004). Possible pharmacotherapy of the opioid kappa receptor agonist for drug dependence. Annals of the New York Academy of Sciences, 1025: 404–413. Healy, D. (1996). The Psychopharmacologists: Interviews. London: Altman. Healy, D. (1997). The Antidepressant Era. Cambridge, MA: Harvard University. Douglas F. Watt & Jaak Panksepp Heim, C., & Nemeroff, C. B. (1999). The impact of early adverse experiences on brain systems involved in the pathophysiology of anxiety and affective disorders. Biological Psychiatry, 46: 1509–1522. Heinrichs, M., Baumgartner, T., Kirschbaum, C., & Ehlert, U. (2003). Social support and oxytocin interact to suppress cortisol and subjective responses to psychosocial stress. Biological Psychiatry, 54 (12): 1389–1398. Henn, F. A., & Vollmayr, B. (2005). Stress models of depression: Forming genetically vulnerable strains. Neuroscience and Biobehavioral Reviews, 29: 799–804. Hennessy, M. B., Deak, T., & Schiml-Webb, P. A. (2001). Stress-induced sickness behaviors: An alternative hypothesis for responses during maternal separation. Developmental Psychobiology, 39: 76–83. Heuser, I. J., Schweiger, U., Gotthardt, U., Schmider, J., Lammers, C. H., et al. (1996). Pituitary-adrenal system regulation and psychopathology during amitriptyline treatment in elderly depressed patients and normal comparison subjects. American Journal of Psychiatry, 153 (1): 93–99. Heuser, I., Yassouridis, A., & Holsboer, F. (1994). The combined dexamethasone/CRH test: A refined laboratory test for psychiatric disorders. Journal of Psychiatric Research, 28 (4): 341–356. Hobson, J. A., Pace-Schott, E. F., & Stickgold, R. (2000). Dreaming and the brain: Toward a cognitive neuroscience of conscious states. Behavioral and Brain Sciences, 23: 793–842. Holsboer, F. (2000). The corticosteroid receptor hypothesis of depression. Neuropsychopharmacology, 23: 477–501. Holsboer, F. (2003). The role of peptides in treatment of psychiatric disorders. Journal of Neural Transmission (Suppl.), 64: 17–34. Horvath, T. L., & Diano, S. (2004). The floating blueprint of hypothalamic feeding circuits. Nature Reviews. Neuroscience, 5: 662–667. Hurd, Y. L., Herman, M. M., Hyde, T. M., Bigelow, L. B., Weinberger, D. R., & Kleinman, J. E. (1997). Prodynorphin mRNA expression is increased in the patch vs matrix compartment of the caudate nucleus in suicide subjects. Molecular Psychiatry, 2: 495–500. Hurd, Y. L., Svensson, P., & Ponten, M. (1999). The role of dopamine, dynorphin, and CART systems in the ventral striatum and amygdala in cocaine abuse. Annals of the New York Academy of Sciences, 877: 499–506. Ikemoto, S., & Panksepp, J. (1999). The role of nucleus accumbens dopamine in motivated behavior: A unifying interpretation with special reference to reward-seeking. Brain Research Reviews, 31: 6–41. Insel, T. R., & Harbaugh, C. R. (1989). Central administration of corticotropin releasing factor alters rat pup isolation calls. Pharmacology, Biochemistry & Behavior, 32: 197–201. Jacobs, B. L., Praag, H., & Gage, F. H. (2000). Adult brain neurogenesis and psychiatry: A novel theory of depression. Molecular Psychiatry, 5: 262–269. Jacobson, E. (1964). The Self and the Object World. New York: International Universities Press. Jacobson, E. (1971). Depression: Comparative Studies of Nor- Depression: An Evolutionarily Conserved Mechanism? 47 mal, Neurotic and Psychotic Conditions. New York: International Universities Press. Janowsky, D. S., El-Yousef, M. K., Davis, J. M., & Sekerke, H. J. (1972). A cholinergic–adrenergic hypothesis of mania and depression. Lancet, 2: 632–635. Janowsky, D. S., Overstreet, D. H., & Nurnberger, J. I. Jr. (1994). Is cholinergic sensitivity a genetic marker for the affective disorders? American Journal of Medical Genetics, 54 (4): 335–344. Jans, L. A. W. , Riedell, W. J., Markus, C. R., & Blokland, A. (2007). Serotonergic vulnerability and depression: Assumptions, experimental evidence and implications. Molecular Psychiatry, 12: 522–543. Jones, B. E. (2005). From waking to sleeping: Neuronal and chemical substrates. Trends in Pharmacological Sciences, 26: 578–586. Kalin, N. H. (1985). Behavioral effects of ovine corticotropinreleasing factor administered to rhesus monkeys. Federation Proceedings, 44: 249–253. Kalin, N. H., Shelton, S. E., & Barksdale, C. M. (1988). Opiate modulation of separation-induced distress in non-human primates. Brain Research, 440: 285–292. Kanner, A. M. (2004). Structural MRI changes of the brain in depression. Clinical EEG Neuroscience, 35: 46–52. Kapitany, T., Schindl, M., Schindler, S. D., Hesselmann, B., Füreder, T., et al. (1999). The citalopram challenge test in patients with major depression and healthy controls. Psychiatry Research, 88: 75–88. Kaufman, J., Martin, A., King, R. A., & Charney, D. (2001). Are child-, adolescent-, and adult-onset depression one and the same disorder? Biological Psychiatry, 49: 980–1001. Keck, M. E., Ohl, F., Holsboer, F., & Muller, M. B. (2005). Listening to mutant mice: A spotlight on the role of CRF/CRF receptor systems in affective disorders. Neuroscience and Biobehavioral Reviews, 29: 867–889. Kehne, J. H. (2007). The CRF1 receptor, a novel target for the treatment of depression, anxiety, and stress-related disorders. CNS Neurological Disorders and Drug Targets, 6: 163–182. Kehoe, P., & Blass, E. M. (1986). Opioid-mediation of separation distress in 10-day-old rats: Reversal of stress with maternal stimuli. Developmental Psychobiology, 19: 385– 398. Keller, M. C., & Nesse, R. M. (2006). The evolutionary significance of depressive symptoms: Different adverse situations lead to different depressive symptom patterns. Journal of Personality and Social Psychology, 91: 316–330. Kendler, K. S., Gardner, C. O., & Prescott, C. A.(2002). Toward a comprehensive developmental model for major depression in women. American Journal of Psychiatry, 159: 1133–1145. Kennedy, S. E., Koeppe, R. A., Young, E. A., & Zubieta, J. K. (2006). Dysregulation of endogenous opioid emotion regulation circuitry in major depression in women. Archives of General Psychiatry, 63: 1199–1208. Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., et al. (2003). The epidemiology of major depressive disorder: Results from the National Comorbidity Survey Replication (NCS-R). Journal of the American Medical Association, 289 (23): 3095–3105. Knutson, B., Wolkowitz, O. M., Cole, S. W., Chan, T., & Moore, E. A. (1998). Selective alteration of personality and social behavior by serotonergic intervention. American Journal of Psychiatry, 348: 274–282. Kotlinska, J., Rafalski, P., Biala, G., Dylag, T., Rolka, K., & Silberring, J. (2003). Nociceptin inhibits acquisition of amphetamine-induced place preference and sensitization to stereotypy in rats. European Journal of Pharmacology, 474: 233–239. Kozisek, M. E., Middlemas, D., & Bylund, D. B. (2008). Brain-derived neurotrophic factor and its receptor tropomyosin-related kinase B in the mechanism of action of antidepressant therapies. Pharmacology & Therapeutics, 117: 30–51. Kramer, M. S., Cutler, N., Feighner, J., Shrinivastava, R., Carman, J., Sramek, J. J., et al (1998). Distinct mechanism for antidepressant activity by blockade of central substance P receptors. Science, 281: 1640–1645. Krishnan, V., Han, M., Graham, D., Berton, O., Renthal, W., Russo, S., et al. (2007). Molecular adaptations underlying susceptibility and resistance to social defeat in brain reward regions. Cell, 131 (2): 391–404. Kroes, R. A., Burgdorf, J., Otto, N. J., Panksepp, J., & Moskal, J. R. (2007). Social defeat, a paradigm of depression in rats that elicits 22-kHz vocalizations, preferentially activates the cholinergic signaling pathway in the periaqueductal gray. Behavioral Brain Research, 182: 290–300. Kroes, R. A., Panksepp, J., Burgdorf, J., Otto, N. J., & Moskal, J. R. (2006). Social dominance-submission gene expression patterns in rat neocortex. Neuroscience, 137: 37–49. Land, B. B., Bruchas, M. R., Melief, E., Xu, M., Lemos, J., & Chavkin, C. (2008). The dysphoric component of stress is encoded by activation of the dynorphine-kappa opioid system. Journal of Neuroscience, 28: 407–414. Lane, R. D., & Garfield, D. A. S. (2005). Becoming aware of feelings: Integration of cognitive-developmental, neuroscientific, and psychoanalytic perspectives [with commentaries]. Neuropsychoanalysis, 7: 5–70. Lecrubier, Y. (2007). Widespread under-recognition and undertreatment of anxiety and mood disorders: Results from three European studies. Journal of Clinical Psychiatry, 68 (Suppl. 2): 36–41. LeDoux, J. (1996). The Emotional Brain. New York: Simon & Schuster. Lee, A. L., Ogle, W. O., & Sapolsky, R. M. (2002). Stress and depression: Possible links to neuron death in the hippocampus. Bipolar Disorders, 4: 117–128. Leith, N. J., & Barrett, R. J. (1980). Effects of chronic amphetamine or reserpine on self-stimulation/responding: Animal model of depression? Psychopharmacology, 72: 9– 15. Lemonde, S., Turecki, G., Bakish, D., Du, L., Hrdina, P. D., Bown, C. D., et al. (2003). Impaired repression at a 5-hydroxytryptamine 1A receptor gene polymorphism associated with major depression and suicide. Journal of Neuroscience, 23: 8788–8799. 48 Leonard, B. E. (2006). HPA and immune axes in stress: Involvement of the serotonergic system. Neuroimmunomodulation, 13: 268–276. Levine, S. (2001). Primary social relationships influence the development of the hypothalamic–pituitary–adrenal axis in the rat. Physiology & Behavior, 73: 255–260. Levine, S. (2005). Developmental determinants of sensitivity and resistance to stress. Psychoneuroendocrinology, 30: 939–946. Levinson, D. F. (2006). The genetics of depression: A review. Biological Psychiatry, 60: 84–92. Lifschytz, T., Segman, R., Shalom, G., Lerer, B., Gur, E., Golzer, T., et al. (2006). Basic mechanisms of augmentation of antidepressant effects with thyroid hormone. Current Drug Targets, 7: 203–210. Liotti, M., & Panksepp, J. (2004). Imaging human emotions and affective feelings: Implications for biological psychiatry. In: Textbook of Biological Psychiatry, ed. J. Panksepp. Hoboken, NJ: Wiley, pp. 33–74. Mague, S. D., Pliakas, A. M., Todtenkopf, M. S., Tomasiewicz, H. C., Zhang, Y,, Stevens, W. C. Jr., et al. (2003). Antidepressant-like effects of kappa-opioid receptor antagonists in the forced swim test in rats. Journal of Pharmacology and Experimental Therapeutics, 305: 323–330. Maier, S. F., & Watkins, R. L. (2005). Stressor controllability and learned helplessness: The roles of the dorsal raphe nucleus, serotonin, and corticotropin-releasing factor. Neuroscience and Biobehavioral Reviews, 29: 829–841. Malatynska, E., & Knapp, R. J. (2005). Dominant–submissive behavior as models of mania and depression. Neuroscience and Biobehavioral Reviews, 29: 715–737. Malatynska, E., Rapp, R., Harrawood, D., & Tunnicliff, G. (2005). Submissive behavior in mice as a test for antidepressant drug activity. Pharmacology, Biochemistry, and Behavior, 82 (2): 306–313. Mann, J. J. (2003). Neurobiology of suicidal behaviour. Nature Reviews. Neuroscience, 4: 819–828. Martinowich, K., & Lu, B. (2008). Interaction between BDNF and serotonin: Role in mood disorders. Neuropyschopharmacology, 33: 78–83. Martinowich, K., Manji, H., & Lu, B. (2007). New insights into BDNF function in depression and anxiety. Nature Neuroscience, 10: 1089–1093. Matsumoto, K., Puia, G., Dong, E., & Pinna, G. (2007). GABA(A) receptor neurotransmission dysfunction in a mouse model of social isolation-induced stress: Possible insights into a non-serotonergic mechanism of action of SSRIs in mood and anxiety disorders. Stress, 10: 3–12. Mayberg, H. S., Brannan, S. K., Tekell, J. L., Silva, J. A., Mahurin, R. K., McGinnis, S., et al. (2000). Regional metabolic effects of fluoxetine in major depression: Serial changes and relationship to clinical response. Biological Psychiatry, 48: 830–843. Mayberg, H. S., Liotti, M., Brannan, S. K., McGinnis, S., Mahurin, R. K, Jerabek, P. A., et al. (1999). Reciprocal limbic-cortical function and negative mood: Converging PET findings in depression and normal sadness. American Journal of Psychiatry, 156: 675–682. Douglas F. Watt & Jaak Panksepp Mayberg, H. S, Lozano, A. M., Voon, V., McNeely, H. E., Seminowicz, D., Hamani, C., et al. (2005). Deep brain stimulation for treatment-resistant depression. Neuron, 45 (5): 651–660. McArthur, R., & Borsini, F. (2006). Animal models of depression in drug discovery: A historical perspective. Pharmacology, Biochemistry and Behavior, 84: 436–452. McArthur, S., McHale, E., & Gillies, G. E. (2007). The size and distribution of midbrain dopaminergic populations are permanently altered by perinatal glucocorticoid exposure in a sex-, region-, and time-specific manner. Neuropsychopharmacology, 32 (7): 1462–1476. McEwen, B. S. (2000). The neurobiology of stress: From serendipity to clinical relevance. Brain Research, 886: 172–189. McEwen, B. S. (2004). Stress, allostasis and allostatic overload in the pathology of depression. In: Neuroplasticity: A New Approach to the Pathology of Depression. Marrickville, Australia: Science Press, pp. 51–60. McEwen, B. S. (2007). Physiology and neurobiology of stress and adaptation: Central role of the brain. Physiological Reviews, 87: 873–904. McLaughlin, J. P., Li, S., Valdez, J., Chavkin, T. A., & Chavkin, C. (2006). Social defeat stress-induced behavioral responses are mediated by endogenous kappa opioid systems. Neuropsychopharmacology, 31: 1241–1248. McLaughlin, J. P., Marton-Popovici, M., & Chavkin, C. (2003). Kappa opioid receptor antagonism and prodynorphin gene disruption block stress-induced behavioral responses. Journal of Neuroscience, 23: 5674–5683. Meaney, M. J. (2001). Maternal care, gene expression, and the transmission of individual differences in stress reactivity across generations. Annual Review of Neuroscience, 24: 1161–1192. Mello, N. K., & Negus, S. S. (2000). Interactions between kappa opioid agonists and cocaine. Preclinical studies. Annals of the New York Academy of Sciences, 909: 104–132. Miklos, I. H., & Kovacs, K. J. (2002). GABAergic innervation of corticotropin-releasing hormone (CRH)-secreting parvocellular neurons and its plasticity as demonstrated by quantitative immunoelectron microscopy. Neuroscience, 113: 581–592. Monteggia, L. M., Barrot, M., Powell, C. M., Berton, O., Galanis, V., Gemelli, T., et al. (2004). Essential role of BDNF in adult hippocampal function. National Academy of Sciences, USA, 101: 10827–10832. Muller, N., & Schwarz, M. J. (2007). The immune-mediated alteration of serotonin and glutamate: Towards an integrated view of depression. Molecular Psychiatry, 12: 988–1000. Neese, R. M. (2000). Is depression an adaptation? Archives of General Psychiatry, 57: 14–20. Nemeroff, C. B., & Vale, W. W. (2005). The neurobiology of depression: Inroads to treatment and new drug discovery. Journal of Clinical Psychiatry, 66 (Suppl. 7): 5–13. Nestler, E. J. (1998). Antidepressant treatments in the 21st century. Biological Psychiatry, 44: 526–533. Nestler, E. J., & Carlezon, W. A., Jr. (2006). The mesolimbic dopamine reward circuit in depression. Biological Psychiatry, 59: 1151–1159. Depression: An Evolutionarily Conserved Mechanism? 49 Noble, F., & Roques, B. P. (2007). Protection of endogenous enkephalin catabolism as natural approach to novel analgesic and antidepressant drugs. Expert Opinions on Therapeutic Targets, 11: 145–159. Norman, T. R., & Burrows, G. D. (2007). Emerging treatments for major depression. Expert Reviews in Neurotherapeutics, 7: 203–213. Northoff, G. (2007). Psychopathology and pathophysiology of the self in depression: Neuropsychiatric hypothesis. Journal of Affective Disorders, 104: 1–14. Northoff, G., Bermpohl, F., Schoeneich, F., & Boeker, H. (2007). How does our brain constitute defense mechanisms? First-person neuroscience and psychoanalysis. Psychotherapy & Psychosomatics, 76: 141–153. Northoff, G., Henzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., & Panksepp, J. (2006). Self referential processing in our brain: A meta-analysis of imaging studies of the self. NeuroImage, 31: 440–457. Northoff, G., & Panksepp, J. (2008). The trans-species concept of self and the subcortical-cortical midline system. Trends in Cognitive Sciences, 12: 259–264. Ordway, G. A., Klimek, V., & Mann, J. J. (2004). Neurocircuitry of mood disorders. Neuropsychopharmacology: The Fifth Generation of Progress, ed. K. L. Davis, D. Charney, J. T. Coyle, & C. Nemeroff. Philadelphia: Lippincott Williams & Wilkins, pp. 1051–1064. Ordway, G. A., Schenk, J., Stockmeier, C. A., May, W., & Klimek, V. (2003). Elevated agonist binding to alpha2adrenoceptors in the locus coeruleus in major depression. Biological Psychiatry, 53: 315–323. Overstreet, D. H., Friedman, E., Mathé, A. A., & Yadid, G. (2005). The Flinders Sensitive Line rat: A selectively bred putative animal model of depression. Neuroscience and Biobehavioral Reviews, 29: 739–759. Panksepp, J. (1981). Brain opioids: A neurochemical substrate for narcotic and social dependence. In: Progress in Theory in Psychopharmacology, ed. S. Cooper. London: Academic Press, pp. 149–175. Panksepp, J. (1988). Posterior pituitary hormones and separation distress in chicks. Neuroscience Abstracts, 14: 287. Panksepp, J. (1990). A role for “affective neuroscience” in understanding stress: The case of separation distress circuitry. In: Psychobiology of Stress, ed. A. Oliverio. Dordrecht: Kluwer, pp. 41–58. Panksepp, J. (1998). Affective Neuroscience: The Foundations of Human and Animal Emotion. New York: Oxford University Press. Panksepp, J. (2003a). Can anthropomorphic analyses of “separation cries” in other animals inform us about the emotional nature of social loss in humans? Psychological Reviews, 110: 376–388. Panksepp, J. (2003b). Feeling the pain of social loss. Science, 302: 237–239. Panksepp, J. (2005). Feelings of social loss: The evolution of pain and the ache of a broken heart. In: Consciousness & Emotions, Vol. 1, ed. R. Ellis & N. Newton. Amsterdam: John Benjamins, pp. 23–55. Panksepp, J. (2006). Emotional endophenotypes in evolution- ary psychiatry. Progress in Neuropsychopharmacology and Biological Psychiatry, 30: 774–784. Panksepp, J., & Bekkedal, M. (1997). Neuropeptides and the varieties of anxiety in the brain. Italian Journal of Psychopathology, 1: 18–27. Panksepp, J., Burgdorf, J., Beinfeld, M. C., Kroes, R. A., & Moskal, J. R. (2004). Regional brain cholecystokinin changes as a function of friendly and aggressive social interactions in rats. Brain Research, 1025: 75–84. Panksepp, J., Burgdorf, J., Beinfeld, M. C., Kroes, R. A., & Moskal, J. R. (2007). Brain regional neuropeptide changes resulting from social defeat. Behavioral Neuroscience, 121: 1364–1371. Panksepp, J., & Harro, J. (2004). The future of neuropeptides in biological psychiatry and emotional psychopharmacology: Goals and strategies. In: J. Panksepp (Ed.), Textbook of Biological Psychiatry. New York: Wiley, pp. 627–660. Panksepp, J., Herman, B., Conner, R., Bishop, P., & Scott, J. P. (1978). The biology of social attachments: Opiates alleviate separation distress. Biological Psychiatry, 9: 213–220. Panksepp, J., Herman, B. H., Vilberg, T., Bishop, P., & DeEskinazi, F. G. (1980). Endogenous opioids and social behavior. Neuroscience and Biobehavioral Reviews, 4: 473–487. Panksepp, J., Lensing, P., & Bernatzky, G. (1989). Delta and kappa opiate receptor control of separation distress. Neuroscience Abstracts, 15: 845. Panksepp, J., & Moskal, J. (2008). Dopamine and SEEKING: Subcortical “reward” systems and appetitive urges. In: Handbook of Approach and Avoidance Motivation, ed. A. Elliot. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 67–87. Panksepp, J., Moskal, J., Panksepp, J. B., & Kroes, R. (2002). Comparative approaches in evolutionary psychology: Molecular neuroscience meets the mind. Neuroendocrinology Letters, 23 (Suppl. 4): 105–115. Panksepp, J., Normansell, L. A., Herman, B., Bishop, P., & Crepeau, L. (1988). Neural and neurochemical control of the separation distress call. In: The Physiological Control of Mammalian Vocalizations, ed. J. D. Newman. New York: Plenum, pp. 263–300. Panksepp, J., & Northoff, G. (2009). The trans-species core self: The emergence of active cultural and neuro-ecological agents through self related processing within subcortical–cortical midline networks. Consciousness & Cognition, 18: 193–215. Panksepp, J., Siviy, S. M., & Normansell, L. A. (1985). Brain opioids and social emotions. In: The Psychobiology of Attachment and Separation, ed. M. Reite & T. Fields. New York: Academic Press, pp. 3–49. Panksepp, J., Vilberg, T., Bean, N. J., Coy, D. H., & Kastin, A. J. (1978). Reduction of distress vocalization in chicks by opiate-like peptides. Brain Research Bulletin, 3: 663–667. Panksepp, J., Yates, G., Ikemoto, & Nelson, E. (1991). Simple ethological models of depression: Social-isolation induced “despair” in chicks and mice. In: Animal Models in Psychopharmacology, ed. B. Olivier & J. Moss. Holland: Duphar, pp. 161–181. Pavlides, C., Nivón, L. G., & McEwen, B. S. (2002). Effects of 50 chronic stress on hippocampal long-term potentiation. Hippocampus, 12 (2): 245–257. Pezawas, L., Meyer-Lindenberg, A., Drabant, E. M., Berchinski, B. A., Munoz, K. E., Kolachana, B. S., et al. (2005). 5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: A genetic susceptibility mechanism for depression. Nature Neuroscience, 8: 828–834. Preter, M., & Klein, D. F. (2008). Panic, suffocation false alarms, separation anxiety and endogenous opioids. Progress in Neuropsychopharmacology and Biological Psychiatry, 32: 603–612. Pryce, C. R., Ruedi-Bettschen, D., Dettling, A. C., Weston, A., Russig, H., Ferger, B., et al. (2005). Long-term effects of early-life environmental manipulations in rodents and primates: Potential animal models in depression research Neuroscience and Biobehavioral Reviews, 29: 649–674. Ratey, J. (2008). Spark: The Revolutionary New Science of Exercise and the Brain. Boston: Little Brown. Reite, M., Short, R., Seiler, C., & Pauley, J. D. (1981). Attachment, loss, and depression. Journal of Child Psychology and Psychiatry, 22: 141–169. Roffman, J. L., Marci, C. D., Glick, D. M., Dougherty, D. D., & Rauch, S. L. (2005). Neuroimaging and the functional neuroanatomy of psychotherapy. Psychological Medicine, 35: 1385–1398. Rosenfeld, P., Suchecki, D., & Levine, S. (1992). Multifactorial regulation of the hypothalamic–pituitary–adrenal axis during development. Neuroscience & Biobehavioral Reviews, 16: 553–568. Rush, A. J. (2007). STAR*D: What have we learned? American Journal of Psychiatry, 164 (2): 201–204. Rush, A. J., Giles, D. E., Schlesser, M. A., Orsulak, P. J., Parker, C. R. Jr., Weissenburger, J. E., et al. (1996). The dexamethasone suppression test in patients with mood disorders. Journal of Clinical Psychiatry, 57: 470–484. Rush, A. J., Trivedi, M., & Fava, M. (2003). Depression IV: STAR*D treatment trial for depression. American Journal of Psychiatry, 160: 237. Sahay, A., & Hen, R. (2007). Adult hippocampal neurogenesis in depression. Nature Neuroscience, 10: 1110–1115. Sapolsky, R. M. (2003). Stress and plasticity in the limbic system. Neurochemical Research, 28: 1735–1742. Sargent, P. A., Kjaer, K. H., Bench, C. J., Rabiner, E. A., Messa, C., Meyer, J., et al. (2000). Brain serotonin 1A receptor binding measured by positron emission tomography with [11C]WAY-100635: Effects of depression and antidepressant treatment. Archives of General Psychiatry, 57: 174–180. Schiepers, O. J., Wichers, M. C., & Maes, M. (2005). Cytokines and major depression. Progress in Neuropsychopharmacology and Biological Psychiatry, 29: 201–217. Schildkraut, J. (1965). The catecholamine hypothesis of affective disorders: A review of supporting evidence. American Journal of Psychiatry, 122: 509–522. Schore, A. N. (1994). Affect Regulation and the Origin of the Self: The Neurobiology of Emotional Development. Hillsdale, NJ: Lawrence Erlbaum Associates. Schreiber, S., Bleich, A., & Pick, C. G. (2002). Venlafaxine and Douglas F. Watt & Jaak Panksepp mirtazapine: Different mechanisms of antidepressant action, common opioid-mediated antinociceptive effects—a possible opioid involvement in severe depression? Journal of Molecular Neuroscience, 18: 143–149. Sheline, Y. I., Sanghavi, M., Mintun, M. A., & Gado, M. H. (1999). Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression. Journal of Neuroscience, 19: 5034–5043. Shelton, R. C. (2007). The molecular neurobiology of depression. Psychiatric Clinics of North America, 30: 1–11. Smeraldi, E., Zanardi, R., Benedetti, F., Di Bella, D., Perez, J., & Catalano, M. (1998). Polymorphism within the promoter of the serotonin transporter gene and antidepressant efficacy of fluvoxamine. Molecular Psychiatry, 3: 508–511. Solomon, A. (2001). The Noonday Demon: An Atlas of Depression. New York: Scribner. Steele, J. D., Currie, J., Lawrie, S. M., & Reid, I. (2007). Prefrontal cortical functional abnormality in major depressive disorder: A stereotactic meta-analysis. Journal of Affective Disorders, 10: 1–11. Stone, E. A., Lin, Y., & Quartermain, D. (2008). A final common pathway for depression? Progress toward a general conceptual framework. Neuroscience & Biobehavioral Reviews, 32: 508–524. Stone, E. A., Lin, Y., Rosengarten, H., Kramer, H. K., & Quartermain, D. (2003). Emerging evidence for a central epinephrine-innervated alpha 1-adrenergic system that regulates behavioral activation and is impaired in depression. Neuropsychopharmacology, 28: 1387–1399. Sullivan, P. F., Neale, M. C., & Kendler, K. S. (2000). Genetic epidemiology of major depression: Review and meta-analysis. American Journal of Psychiatry, 157: 1552–1562. Swain, J. E., Lorberbaum, J. P., Korse, S., & Strathearn, L. (2007). Brain basis of early parent-infant interactions: Psychology, physiology, and in vivo function neuroimaging studies. Journal of Child and Adolescent Psychiatry, 48: 262–287. Szyf, M., McGowan, P., & Meaney, M. J. (2008). The social environment and the epigenome. Environmental and Molecular Mutagenesis, 49: 46–60. Tausk, M. (1952). Das Hormon. Hat die Nebennierrinde tatsächlich eine Verteidigungsfunktion? Vol. 3. The Netherlands: Organon International BV, Oss. Teicher, M. H., Andersen, S. L., Polcari, A., Anderson, C. M., & Navalta, C. P. (2002). Developmental neurobiology of childhood stress and trauma. Psychiatric Clinics of North America, 25: 397–426. Teicher, M. H., Andersen, S. L., Polcari, A., Anderson, C. M., Navalta, C. P., & Kim, D. M. (2003). The neurobiological consequences of early stress and childhood maltreatment. Neuroscience Biobehavioral Reviews, 27: 33–44. Thomsen, A. F., Kvist, T. K., Andersen, P. K., & Kessing, L. V. (2006). The risk of affective disorders in patients with adrenocortical insufficiency. Psychoneuroendocrinology, 31 (5): 614–622. Todtenkopf, M. S., Marcus, J. F., Portoghese, P. S., & Carlezon, W. A., Jr. (2004). Effects of kappa-opioid receptor ligands on Depression: An Evolutionarily Conserved Mechanism? 51 intracranial self-stimulation in rats. Psychopharmacology, 172: 463–470. Tsiouris, J. A. (2005). Metabolic depression in hibernation and major depression: An explanatory theory and an animal model of depression. Medical Hypotheses, 65: 829–840. Tsuno, N., Besset, A., & Ritchie, K. (2005). Sleep and depression. Journal of Clinical Psychiatry, 66 (10): 1254–1269. Valenstein, E. S. (1998). Blaming the Brain. New York: Free Press. Vogt, B. A., & Gabriel, M. (Eds.) (1993). Neurobiology of Cingulate Cortex and Limbic Thalamus: A Comprehensive Handbook. Boston, MA: Birkhauser. Vollmayr, B., & Henn, F. A. (2003). Stress models of depression. Clinical Neuroscience Research, 3: 145–151. von Bardeleben, U., & Holsboer, F. (1988). Human corticotropin releasing hormone: Clinical studies in patients with affective disorders, alcoholism, panic disorder and in normal controls. Progress in Neuropsychopharmacology & Biological Psychiatry, 12 (Suppl.): 165–187. Walsh, S. L., Strain, E. C., Abreu, M. E., & Bigelow, G. E. (2001). Enadoline, a selective kappa opioid agonist: Comparison with butorphanol and hydromorphone in humans. Psychopharmacology, 157: 151–162. Warner-Schmidt, J. L., & Duman, R. S. (2006). Hippocampal neurogenesis: Opposing effects of stress and antidepressant treatment. Hippocampus, 16: 239–249. Watt, D. F. (1990). Higher cortical functions and the ego: Explorations of the boundary between behavioral neurology, neuropsychology, and psychoanalysis. Psychoanalytic Psychology, 7: 488–529. Watt, D. F. (2007). Towards a neuroscience of empathy: integrating cognitive and affective perspectives. Neuropsychoanalysis, 9: 119–140. Watt, D. F., & Pincus, D. (2004). Neural substrates of consciousness: Implications for clinical psychiatry. In: Textbook of Biological Psychiatry, ed. J. Panksepp. New York: Wiley, pp. 75–110. Weiss, M., Blier, P., & de Montigny, C. (2007). Effect of longterm administration of the antidepressant drug milnacipran on serotonergic and noradrenergic neurotransmission in the rat hippocampus. Life Science, 81: 166–176. Wong, M.-L., & Licinio, J. (2001). Research and treatment approaches to depression. Nature Reviews. Neuroscience, 2: 343–351. World Psychiatric Association (2002). WPA Bulletin on Depression. Available at www.servier.com/App_Download/Neurosciences/WPA/WPA_24.pdf Young, E. A., Altemus, M., Lopez, J. F., Kocsis, J. H., Schatzberg, A. F., DeBattista, C., et al. (2004). HPA axis activation in major depression and response to fluoxetine: A pilot study. Psychoneuroendocrinology, 29: 1198–1204. Young, E. A., Lopez, J. F., Murphy-Weinberg, V., Watson, S. J., & Akil, H. (2003). Mineralocorticoid receptor function in major depression. Archives of General Psychiatry, 60: 24–28. Zarate, C. A., Jr., Singh, J. B., Carlson, P. J., Brutsche, N. E., Ameli, R., Luckenbaugh. D. A, et al. (2006). A randomized trial of an N-methyl-D-aspartate antagonist in treatmentresistant major depression. Archives of General Psychiatry, 63: 856–864. Zhang, R., Tachibana, T., Takagi, T., Koutoku, T., Denbow, D. M., & Furuse, M. (2004). Serotonin modifies corticotropinreleasing factor-induced behaviors of chicks. Behavioral Brain Research, 151: 47–52. Zimmer, A., Valjent, E., Konig, M., Zimmer, A. M., Robledo, P., Hahn, H., et al. (2001). Absence of delta-9-tetrahydrocannabinol dysphoric effects in dynorphin-deficient mice. Journal of Neuroscience, 21: 9499–9505. Zoebel, A. W., Nickel, T., Kunzel, H. E., Ackl, N., Sonntag, A., Ising, M., et al. (2000). Effects of the high-affinity corticotropin-releasing hormone receptor 1 anatagonist R 121919 in major depression. The first 20 patients treated. Journal of Psychiatric Research, 34: 171–181. Zobel, A. W., Nickel, T., Sonntag, A., Uhr, M., Holsboer, F., & Ising, M. (2001). Cortisol response in the combined dexamethasone/CRH test as predictor of relapse in patients with remitted depression. A prospective study. Journal of Psychiatric Research, 35: 83–94. Zobel, A. W., Yassouridis, A., Frieboes, R. M., & Holsboer, F. (1999). Prediction of medium-term outcome by cortisol response to the combined dexamethasone-CRH test in patients with remitted depression. American Journal of Psychiatry, 6: 949–951. Zubieta, J. K., Ketter, T. A., Bueller, J. A., Xu, Y., Kilbourn, M. R., Young, E. A., et al. (2003). Regulation of human affective responses by anterior cingulate and limbic mu-opioid neurotransmission. Archives of General Psychiatry, 60 (11): 1145–1153. Zucconi, G. S., Cipriani, S., Balgkouranidou, I., & Scattoni, R. (2006). “One night” sleep deprivation stimulates hippocampal neurogenesis. Brain Research Bulletin, 69: 375–381. Zupancic, M., & Guilleminault, C. (2006). Agomelatine: A preliminary review of a new antidepressant. CNS Drugs, 20: 981–992. 52 Sidney J. Blatt & Patrick Luyten Depression as an Evolutionarily Conserved Mechanism to Terminate Separation Distress: Only Part of the Biopsychosocial Story? Commentary by Sidney J. Blatt (New Haven, CT) & Patrick Luyten (Leuven, Belgium) Keywords: depression; personality; attachment; trauma; stress; neurobiology The article by Douglas Watt and Jaak Panksepp provides a much-needed opportunity to attempt to bridge the gap between psychological and biological processes in depression research. In addition, their article provides the opportunity to address critically Diagnostic and Statistical Manual of Mental Disorders (DSM-IV: APA, 1994) assumptions that may hinder rather than facilitate current research concerning depression (Blatt & Luyten, in press-a; Luyten & Blatt, 2007; Luyten, Blatt, Van Houdenhove, & Corveleyn, 2006). Moreover, the article illustrates the relevance of a number of areas that are highly interesting for psychoanalysis—such as animal models and contemporary stress research—but until now have been relatively neglected by the psychoanalytic community. In this commentary, we respond primarily from a clinical perspective to the important and extensive contribution by Watt & Panksepp on their biological perspective of depression as an evolutionarily conserved mechanism that terminates separation distress. In particular, Watt & Panksepp consider depression as an evolutionarily adaptive mechanism that terminates the protest phase of distress—a process of resignation that becomes removed from adaptive control. While we agree about the importance of early trauma, especially the impact of early separation and loss, on the development of depression and psychopathology more generally, we argue that extensive research indicates that issues of separation and loss account for only a relatively limited subset of patients in the development of depression. Thus, we stress the need to integrate the extensive investigation of neurobiological dimensions in psychopathology, especially based on animal models and contemporary research on stress, with understanding achieved through systematic investigation with humans of normal and disrupted psychological development. In this context, we also note that although it is important to attempt to bridge the gap between biological and psychological perspectives Sidney J. Blatt: Departments of Psychiatry and Psychology, Yale University, New Haven, CT, U.S.A; Patrick Luyten: Department of Psychology, University of Leuven, Leuven, Belgium, and Yale Child Study Center, New Haven, CT, U.S.A. in investigations more broadly, but especially in the study of depression, important limitations are imposed on such integration by aspects of the DSM that hinder research on clinical phenomena, especially depression (Blatt & Levy, 1998; Blatt & Luyten, in press-a; Luyten & Blatt, 2007). Hence, this commentary focuses primarily on the heterogeneity of dimensions that are at issue in depression and the need to include developmental and clinical perspectives that include the role of the content and cognitive structural organization of meaning systems (i.e., mental representations or interpersonal cognitive–affective schemas of self and others) in comprehensive biopsychosocial models of depression and of psychopathology more broadly. The heterogeneity of depression: anaclitic and introjective dimensions of depression It should be noted that Watt & Panksepp’s central assumption that depression is an evolutionarily conserved mechanism that terminates separation distress has a long history in clinical research on depression. In fact, it was Rene Spitz (1946) who first identified what he called an “anaclitic depression,” in his discussions of the consequence in young infants of early loss and separation from primary caregivers. In particular, he noted in these babies a condition similar to Watt & Panksepp’s description of depression as a mechanism that terminates separation distress, in that these babies showed clear feelings of sadness, tearfulness, loss of appetite, and loss of weight after a period of protest. These important clinical observations by Spitz not only documented the occurrence of a particular form of depression in infants and children and of apathy and lethargy as central expressions of this form of depression, but they also identified a research agenda to investigate pathways from early adversity in the first few months of life to later psychopathology in adolescence and adulthood (Luyten, Vliegen, Van Houdenhove, & Blatt, in press). Others elaborated Spitz’s observations, including Bowlby (1980) in his work on attachment, Engel and Reichsman (1956) in their classic paper on © 2009 The International Neuropsychoanalysis Society • http://www.neuropsa.org Depression: An Evolutionarily Conserved Mechanism? • Commentaries baby Monica’s gastric fistula, and early research on the impact of separation and loss in animals (e.g., Harlow, 1958) and children (e.g., Freud & Burlingham, 1944; Provence & Lipton, 1962; Robertson & Robertson, 1971). In addition, and importantly, Watt & Panksepp’s suggestion to consider depression as an evolutionary mechanism that may have adaptive value was already anticipated by George Engel, the spiritual father of the biopsychosocial model, who noted that “the bulk of depressive reactions encountered in clinical practice are more indicative of ‘giving up’ and do not include as a major component morbid guilt and aggression turned toward the self” (Engel, 1962, p. 96). Moreover, Engel (1962) argued that “depression–withdrawal” should be considered, together with anxiety, as a basic affect and a basic “building block” of psychopathology. Yet according to Engel, this depression–withdrawal reaction primarily served important adaptive purposes and thus was not maladaptive as such, because it led to hypoactivity of psychological as well as physiological and biological systems, a kind of “hibernation” state, anticipating contemporary theories about hypothalamic–pituitary–adrenal (HPA)axis hypoactivity as an adaptive response to regulate chronic stress (Fries, Hesse, Hellhammer, & Hellhammer, 2005; Van Houdenhove, Van Den Eede, & Luyten, 2009). According to Engel—and this is where the resemblance with Watt & Panksepp’s argument is clearly evident—this depression–withdrawal reaction is not simply a passive reaction, but an active coping strategy to increase the “stimulus barrier” so as to decrease the painfulness of feelings of loss and separation. Likewise, Sandler and Joffe (1965) argued that depression in the first place should be seen as “a basic psycho-biological affective reaction” (p. 90) that is in itself adaptive but can become maladaptive when it becomes a habitual reaction to stress of the organism. Bibring (1953) added to this, long before Seligman’s (1975) seminal work on depression, that the helplessness of the ego was the hallmark of most depressions and thus constituted a “giving-up” response. Yet despite this long line of predecessors, neither the psychiatric nor the psychoanalytic world considered these types of “simple depressions” to be the prototype of depression in adults. Rather, for decades, self-critical or guilt-ridden depression, referred to alternatively as melancholic or manic-depressive psychosis, was considered to be the true prototype of depression (e.g., Abraham, 1911; Fenichel, 1945; Freud, 1917e [1915]; Gero, 1936; Lorand, 1937; Nacht & Racamier, 1960; Rado, 1928; Rochlin, 1953). Research in subsequent years has shown that both 53 approaches were correct in some respects, as studies from several strands of research, including both psychodynamic and cognitive-behavioral approaches, over several decades, have identified two fundamental dimensions in depression (Arieti & Bemporad, 1978, 1980; Beck, 1983, 1999; Blatt, 1974, 1998, 2004; Blatt, D’Afflitti & Quinlan, 1976; Blatt, Quinlan, Chevron, McDonald, & Zuroff, 1982): an anaclitic1dimension and an introjective2 dimension (Blatt & Maroudas, 1992). The anaclitic dimension involves feelings of loneliness, abandonment, and neglect, emphasized in the research on “simple depression.” In contrast, the introjective dimension involves feelings of failure, worthlessness, and guilt, as emphasized in research on melancholic depression and manic-depressive psychosis. Several research instruments have been developed that assess systematically these two dimensions of depression, including The Depressive Experiences Questionnaire (DEQ: Blatt, D’Afflitti, & Quinlan, 1976, 1979), the Dysfunctional Attitudes Questionnaire (DAS: Weissman & Beck, 1978), the Sociotropy–Autonomy Scale (SAS: Beck, Epstein, Harrison, & Emery, 1983), and the Personal Styles Inventory (PSI: Robins & Ladd, 1991). Extensive research with these instruments not only documents the validity of this clinical distinction, but, importantly, has also shown the predominance of the introjective type of depression in both clinical and nonclinical samples (for a summary of this research, see Blatt, 2004). Importantly, extensive research with both nonclinical and clinical samples indicates the particularly insidious nature of introjective (self-critical) depression. Anaclitic qualities, in contrast, seem to have both adaptive and maladaptive consequences for intrapersonal and interpersonal functioning. For example, although individuals with anaclitic depressive features are more vulnerable for depression after experiences of loss or separation, they often struggle to maintain interpersonal contact—contact that sometimes provides them with constructive social support. Introjective depression, in contrast, not only involves high levels of self-criticism and self-devaluation, but also is associated with a “degeneration” of the interpersonal world, leading to social isolation that seems 1 Anaclitic depression has been described by investigators as “dependent” (Blatt, D’Afflitti, & Quinlan, 1976; Blatt et al., 1982), “dominant other” (Arieti & Bemporad, 1978, 1980), or “sociotropic” (Beck, 1983) depression. 2 Introjective depression has been described as “self-critical” (Blatt, D’Afflitti, & Quinlan, 1976; Blatt et al, 1982), “dominant goal” (Arieti & Bemporad, 1978, 1980), or “autonomous” (Beck, 1983) depression. 54 to contribute to the pernicious nature of this type of depression (e.g., Blatt, 1995; Shahar, 2006). Extensive research (see summaries in Blatt, 2004; Blatt & Zuroff, 1992; Luyten, Corveleyn, & Blatt, 2005) documents the validity of the anaclitic–introjective distinction and has identified early, as well as current, life experiences that contribute to the emergence of these two types of depression, the personality and clinical characteristics associated with these two types of depression, and their differential response to various types of therapeutic intervention. In this context, it is important to note that issues of separation distress discussed by Watt & Panksepp seem particularly relevant to anaclitic depression but are of only limited relevance to introjective depression. Thus, it must be clear that clinical research that fails to make this distinction among depressed patients is likely to find only limited support for the possible neurobiological mechanisms extensively considered by Watt & Panksepp. In addition, establishing animal models of introjective depression seems to pose much more of a challenge than establishing animal models for anaclitic depression, in part because introjective depression probably involves more symbolic and cognitive issues. Thus, animal models, though useful in providing possible leads for studying separation distress in anaclitic depression, may have very limited applicability in the investigation of the more insidious introjective type of depression, in which there is also significantly greater possibility of suicide (Beck, 1983; Blatt, 1995; Blatt & Shichman, 1983; Blatt et al., 1982; Fazaa & Page, 2003). For instance, as Watt & Panksepp note, much contemporary research focuses on the relationship between stress, as mediated by the HPA axis, and depression. Yet results concerning the relationship between HPA-axis functioning and depression may be seriously biased if they do not distinguish between the different psychological dimensions in depression. In particular, increasing evidence indicates that atypical depression—characterized by interpersonal rejection sensitivity, a core feature of dependency—is associated with hypoactivity of the HPA axis. Melancholic depression, in contrast, is more characterized by irritability and hostility—typical introjective traits—associated with HPA-axis hyperactivity (Gold & Chrousos, 2002; Thase, 2007). Studies have indeed found that individuals diagnosed with atypical depression are characterized by strong needs for reassurance, feelings of abandonment, rejection, loneliness, an inability to rely on other people, anxiety and mood swings, crying, oral behaviors (e.g., smoking, drinking Sidney J. Blatt & Patrick Luyten alcohol), and the use of self-consolatory coping strategies (such as spending money)—characteristics that empirical studies have shown to be typical of anaclitic depression (e.g., Blatt et al., 1982; Parker, 2007). Introjective depression, in turn, tends to be more characterized by feelings associated with defeat and failure, such as feelings of failure, self-hate, guilt, anhedonia, and loss of interest in others (Blatt, 2004; Luyten et al., 2007). Hence, different sets or configurations of depressive symptoms seem to be related to different HPA-axis dysfunctions. Thus, results in this area may have been confounded depending on the relative distribution of patients with introjective versus anaclitic qualities (for a similar example regarding trauma and depression, see Heim, Plotsky, & Nemeroff, 2004). Moreover, concomitant symptoms such as hyperphagia and hypersomnia in anaclitic depression are probably best considered as coping strategies aimed at restoring homeostasis, rather than core symptoms. This has important implications for studies aiming to establish correlations between specific depressive symptoms and genetic or neurobiological factors, because some symptoms may be core symptoms of depression, while others reflect coping strategies. Similarly, research based on animal models that study the role of attachment and the dopaminergic system in depression, briefly noted by Watt & Panksepp, should also take this heterogeneity of depression into account. For instance, a considerable body of research has related anaclitic issues to attachment anxiety, while introjective traits are most closely associated with attachment avoidance (Luyten, Corveleyn, & Blatt, 2005; Sibley, 2007). Attachment anxiety, in turn, has been associated with attachment-hyperactivating strategies in response to (separation) distress, while attachment avoidance is associated with attachment-deactivating strategies under stressful conditions (Mikulincer & Shaver, 2007). These individual differences in the use of hyperactivating versus deactivating strategies under stress are likely to impact on neurobiological findings such as studies using fMRI to map attachment-related neurocircuits in depression. At the very least, large individual differences in the activation of specific neurocircuits may be expected. Current fMRI studies on attachment, however, rarely take such individual differences into account (e.g., Bartels & Zeki, 2004). These findings not only challenge the purely descriptive approach of the DSM, which defines subtypes of depression based on symptoms and not on etiological concepts, but they also have important implications for studying the genetic and neurobiological under- Depression: An Evolutionarily Conserved Mechanism? • Commentaries pinnings of these two dimensions more generally, as anaclitic issues render individuals vulnerable not only to depression, but to disorders that involve dysregulated emotional and self-consolatory responses more broadly (Parker, 2007), just as introjective issues render individuals more vulnerable for psychopathology that involves issues of autonomy and control (Blatt, 2008; Blatt & Shichman, 1983). Hence, both in psychosocial and in neurobiological research, the focus should be on pathways to different disorders, rather than on any single disorder such as depression, because it is highly unlikely that one specific biological system, such an evolutionarily conserved mechanism that terminates separation distress, would be only involved in one specific disorder. In particular, much current evidence indicates the need for studies considering vulnerability to spectra of disorders that share similar biological and psychosocial mechanisms rather than for research focusing on vulnerability for one specific disorder (Luyten et al., in press). The importance of a developmental model and mental representations The importance of distinguishing between anaclitic and introjective depression raises the broader issue of the limitations of a disease- or symptom-centered approach, exemplified by the DSM-IV (Blatt, 2008; Luyten & Blatt, 2007). Most current mainstream clinical research, diagnostic assessment, and treatment focuses on specific psychiatric disorders defined primarily by manifest symptoms within an atheoretical categorical system—the DSM. This disorder-centered approach should be differentiated from a more fundamentally person-centered approach to diagnosis (such as the anaclitic–introjective distinction in depression) that focuses on the dynamics and life experiences that contribute to psychological disturbance (Luyten et al. in press). The growing concern about the high comorbidity among psychiatric disorders has led some investigators to consider a person-centered approach to psychopathology as an alternative to the atheoretical, symptom-based, categorical system of the DSM (Blatt, 2008; Blatt & Shichman, 1983). Some of these investigators have stressed the need to include developmental considerations and hierarchical models in the classification and treatment of psychopathology as a way of dealing with the vexing problem of comorbidity caused by equifinality and multifinality in the development of disorders—that a given clinical end-state can be the result of different 55 developmental paths, and that similar developmental factors may lead to different clinical outcomes. For instance, findings from various strands of research—in the neurosciences and genetic research in particular— suggest that early adversity leads to vulnerability to a wide variety of psychiatric and (functional) somatic disorders (Luyten & Blatt, 2007; Luyten et al., in press). This rediscovery of the importance of early experiences has contributed to the recognition of the need for a broad developmental perspective in studying intact as well as disrupted psychological development—a perspective that also emphasizes the importance of symbolic processes and meaning-making in understanding and treating patients with a history of early adversity (Blatt & Luyten, in press-b; Luyten & Blatt, 2007; Luyten et al., in press). Current biological research on depression, and on psychopathology more generally, is often flawed by its tendency for biological reductionism—that is, the danger of not appreciating the importance of mental structures and meaning-making in the relationship between biological and psychosocial outcomes. In particular, contemporary accounts of vulnerability and resilience tend—implicitly or explicitly—to deny the importance of meaning and subjectivity (Fonagy, 2003; Luyten et al., in press). For example, current accounts tend to describe the vulnerability of children who have experienced physical and/or sexual abuse, or other forms of early adversity, in terms of the impact these experiences have on their developing stress system, which is supposed to put them at increased risk for later psychopathology. To put it more bluntly: these children are described as being vulnerable not because of the impact these experiences have had on their developing sense of self and others, and particularly their sense of trust in others, but because their HPA axis is dysregulated. A similar trend toward reductionism is apparent in many contemporary genetic accounts, despite their current emphasis on the importance of gene–environment transactions (Moffit, Caspi, & Rutter, 2005). Although Watt & Panksepp try carefully to avoid such reductionism, and stress the need to bridge the gap between the biological and psychological, their extensive essay does not include consideration of what is, in our opinion, the vital link between the biology and psychology of depression—namely, a consideration of the mediating role of mental representations or cognitive affective schemas and meaning structures more generally. This is somewhat surprising because psychoanalysis can provide an important correction in this context as the discipline par excellence that is occupied with the study of meaning and subjectivity. 56 Fonagy (2003), for instance, has convincingly argued that psychiatric geneticists have for the most part studied the “wrong” environment—namely, the objective environment. However, studying the subjective environment as it is experienced and constructed by individuals might be as important, if not more important, because it is the process of meaning-making—or the lack of meaning-making—that probably explains most of the impact of the environment. Returning to our example of stress research, a crucial mediating variable in the association between early childhood abuse and the developing HPA axis is the meaning system of the child—that is, the impact of the abuse on the child’s basic sense of trust and self-worth and on his or her representations of self and others (Blatt, 1974; Blatt, Auerbach, & Behrends, 2008; Fonagy & Target, 2000). Fonagy, Gergely, Jurist, and Target (2002) have coined in this context the concept of an interpersonal interpretive mechanism to refer to a mental system or processing structure for the self and significant others in terms of a relatively stable and generalized set of beliefs, desires, intentions, and affects that are based on interactions with significant others. Recent psychoanalytic theorizing and research provide an exciting window into this meaning-making system, focusing on the role of narrative, narrative coherence, mentalization, and the organization of mental representations in dealing with adversity in life (Blatt, 2008; Blatt, Auerbach, & Behrends, 2008; Fonagy et al., 2002; Hauser, Golden, & Allen, 2006). These studies have convincingly shown that the capacity to mentalize is an important mediator explaining why some individuals are able to work through adversity, including early adversity, leading to so-called earned secure attachment or resolved trauma, as opposed to unresolved trauma (Hauser, Golden, & Allen, 2006; Roisman, Padron, Sroufe, & Egeland, 2002). These findings shed a particularly interesting light on patients with a history of abuse or trauma, as these patients often show considerable difficulties in reconstructing their life history, expressed in narrative incoherence and in unresolved (Roisman et al., 2002) and hostile/helpless (Lyons-Ruth, Yellin, Melnick, & Atwood, 2005) states of mind, resulting in problematic transference and countertransference reactions, characterized by attraction–rejection and idealization or denigration. What is important to stress in this context is that these findings point to the fundamental interpersonal nature of psychopathology, including depression. This tends to be almost completely overlooked in contemporary mainstream accounts, especially in neurobiological accounts (Luyten et al., 2007), although there are Sidney J. Blatt & Patrick Luyten important exceptions to this trend as exemplified by the growing interest in the role of attachment in neurobiological research on stress (Gunnar & Quevedo, 2007). Yet it is a central tenet of most psychoanalytic accounts that distress, including separation distress, leads to the activation of cognitive-affective schemas of self and other, in an attempt to regulate such distress. Hence, any model of separation distress should at the same time be an interpersonal as well as an intrapersonal model and should be able to account for both of these influences on responses to (separation) distress—that is, how, developmentally, stress was first regulated in the context of an interpersonal matrix and how these experiences have led to the internalization of such experiences in terms of cognitive–affective schemas or working models of self and others. These cognitive–affective schemas are referred to in different psychodynamic traditions as mental representations, internal working models, representations of interactions that have been generalized, good or bad inner objects, or internalized object relations (Blatt, Auerbach, & Levy, 1997), but the basic thrust of all these approaches, despite their different terminology, is that it is the representational world and the capacity to reflect on one’s subjective experiences that mediate stress responses (Luyten et al., in press). Implications for research Such a developmental perspective that emphasizes mental representations and meaning-making structures also suggests an alternative to the predominant clinical resarch model that investigates neurobiological correlates of particular disorders defined in terms of the DSM system. One alternative to deal with the somewhat fuzzy diagnostic categories of the DSM, as exemplied in our consideration of depression, is to seek further refinements within the diagnostic distinctions in the DSM. Another alternative approach to this topdown and post-hoc seeking of biological, psychological, and social correlates of particular disorders with the hope of discovering etiological factors is to take a bottom-up developmental approach that considers how early disruptions in development can lead to different forms of psychological disturbance. Such an approach would study the impact of particular life experiences on the development of adaptive as well as disrupted biological and psychological systems—the recursive interactions among life experiences, biological systems, and the meaning structures (e.g., concepts of self and others) that are central to psychological development. Depression: An Evolutionarily Conserved Mechanism? • Commentaries These formulations stress the importance of studying the etiology, nature, and treatment of psychological disturbances from a biopsychosocial dynamic interactionism model that seeks to identify recursive interactions among biological, psychological, and sociological factors in the etiology of psychological disturbances (e.g., Luyten, Blatt, & Corveleyn, 2005; Ursano, 2004). Recursive interactions among biological, psychological, and social-context factors in the etiology of psychopathology are most effectively studied from a theory-based comprehensive model that specifies well-established developmental pathways from infancy to adulthood (Blatt, 2008; Charney et al., 2002) rather than the orientation characteristic of much of psychiatric research based on post-hoc attempts to reconstruct etiological factors that could have contributed to the various disorders identified in a clinical context. These post-hoc efforts may resemble the proverbial seeking the needle in the haystack. The many conditional and provisional statements in Watt & Panksepp’s article, in our view, point to the problematic nature of such an endeavor. Such post-hoc analyses are plagued by the fact that similar symptoms can emerge from different etiological pathways (equifinality) and, depending on a variety of factors and circumstances, can be expressed in different disorders (multifinality). In contrast, a developmental approach to psychological development and psychopathology provides a prospective longitudinal approach to the investigation of the etiology of various forms of psychopathology as variations and disruptions of well-specified processes in normal psychological and biological development. Research on the development of secure and insecure attachment patterns (e.g., Ainsworth, Blehar, Waters, & Wall, 1978; Fonagy, Steele, & Steele, 1991; Steele, Steele, & Fonagy, 1996), for example, clearly demonstrates the impact of a mother’s attachment style on the early development of her child’s personality organization and how the mother’s attachment style derives from her relationship with her own mother. In addition, there is emerging evidence how attachment affects the development of the stress system in both animal models and humans (Gunnar & Quevedo, 2007). Recent evidence (Besser & Priel, 2005) documents how these attachment and personality patterns are transmitted across at least three generations of women—from grandmother, to mother, to daughter. Recent research (Beebe et al., 2007), in fact, demonstrates how a mother’s personality organization influences the infant’s development of self- and interactive regulation as early as 4 months of age. Using the DEQ 57 (Blatt, D’Afflitti, & Quinlan, 1976, 1979), Beebe and colleagues assessed, 6 weeks post-delivery, the extent to which primiparious mothers of a healthy first-born child in an ethnically diverse, low-risk sample of welleducated women experienced feelings of dependency or disturbances in self-worth and self-criticism—anaclitic and introjective issues we discussed earlier as central in depression. Beebe and colleagues also examined the impact of feelings of dependency and selfcriticism on interactive play patterns in these mothers and their infants 4 months after the infants’ birth. Using well-established microsecond split-second analysis of mother–infant interactions, Beebe et al. (2007) found that elevated maternal scores on DEQ dependency and self-criticism 6 weeks postpartum both significantly predicted lower infant self-regulation at 4 months of age. These two dimensions also predicted very different patterns of mother–infant interactive regulation at 4 months. Dependent (or anaclitic) mothers had heightened facial and vocal coordination with their infants—an “attentional vigilance” that was accompanied by heightened emotional activation of the infants. Infants of these dependent mothers showed a similar emotional vigilance and an intense reactivity to shifts in their mother’s affectivity. This heightened vigilance and dyadic symmetry of mother and infant indicates excessive maternal concern about the infant’s availability that limits the infant’s individuation and affect regulation. In contrast, mothers with elevated scores on self-criticism (introjective issues) had difficulty sharing their infant’s attentional focus and emotional variations. These mothers appeared to try to compensate for their disengagement with their 4-month-old infants by touching them more frequently, a more neutral type of engagement than sharing facial expressions, voice quality, or visual gaze (Beebe et al., 2007). In response to the disengagement of self-critical mothers, their infants seemed to disengage from their mother by withdrawing vocal-quality coordination. This distancing and disengagement in self-critical mothers and their infants appears to be the precursor of dismissive insecure attachment. The intense involvement of dependent mothers and their infants, in contrast, appears to be the precursor of preoccupied or anxious–ambivalent insecure attachment. It remains for subsequent research to examine the relationship of these early interpersonal interactive patterns observed at 4 months of age and in the attachment patterns observed in the second year of life to the later development of anaclitic and introjective forms of personality organization and psychopathology. Yet the research paradigm established by Beebe 58 et al. (2007), investigating the impact of personality variations in a nonclinical sample of first-time mothers on infants’ early interpersonal engagement, provides a structure for examining systematically the impact of neurobiological and genetic dimensions on psychological development. Infants at 4 months of age have begun to establish pre-representational schemas of self and others that become increasingly consolidated in the symbolic representational structures associated with secure and insecure attachment patterns observed in the second year of life. The identification of the emergence of the behavioral, cognitive, and interpersonal expressions of these representational structures can be used to establish extensive research paradigms to evaluate the impact of neurobiological and genetic aspects of mothers on their caring patterns and the impact of these on the neurobiological development, particularly the development of the HPA axis (Claes & Nemeroff, 2005; Levinson, 2006), of their infants and its role in their subsequent biological and psychological development. As noted recently by Gunnar and Quevedo (2007), individual differences in the social regulation of neurobiological reactions to stress observed in mother–infant interactions can provide a lens for examining questions about the impact and management of stress throughout development. Rather than the post-hoc searching for specific genetic and neurobiological markers of particular psychiatric diseases or disorders seen in the clinical context, an approach plagued by complex issues of the equifinality and multifinality of symptoms and of etiological pathways—the developmental approach to personality development and psychopathology, as exemplified by the research by Beebe et al. (2007)—has considerable promise but will require extensive, long-term, longitudinal, developmental research. But as suggested by the impressive findings of Beebe and colleagues, this approach has considerable potential. This paradigm might also lead to a more fruitful approach to study the interaction between biological and psychosocial processes in adulthood. Several studies, for instance, have shown that not only subjective but also psychophysiological and biochemical stress are contingent on the “fit” or congruence between personality and the nature of the stressor (Allen, Horne, & Trinder, 1996; Ewart, Jorgensen, & Kolodner, 1998; Gruen, Silva, Ehrlich, Schweitzer, & Friedhoff, 1997; Sauro et al., 2001; Wirtz et al., 2007). Gruen et al. (1997), for instance, found that introjective, but not anaclitic, traits were associated with changes in plasma homovanillic acid, the primary dopamine metabolite in humans, during exposure to an induced failurestressor. Sidney J. Blatt & Patrick Luyten Conclusions The article by Watt & Panksepp is a remarkable attempt to develop a comprehensive theoretical model of depression drawing on animal models. However, this commentary illustrates the need to coordinate animal models and research with clinical experience and research with humans. In particular, in this commentary we focused primarily on the heterogeneity of dimensions that are at issue in depression and the need to include clinical and developmental perspectives that include the role of the content and cognitive structural organization of meaning systems (i.e., mental representations of interpersonal cognitive–affective schemas of self and others) in comprehensive biopsychosocial models of depression and of psychopathology more generally. REFERENCES Abraham, K. (1911). Notes on the psycho-analytical investigation and treatment of manic-depressive insanity and allied conditions. In: Selected Papers on Psychoanalysis. London: Hogarth Press, pp. 137–156. Ainsworth, M. D. S., Blehar, M. E., Waters, E., & Wall, S. (1978). Patterns of Attachment: A Psychological Study of the Strange Situation. Hillsdale, NJ: Lawrence Erlbaum Associates. Allen, N. B., Horne, D. J., & Trinder, J. (1996). Sociotropy, autonomy, and dysphoric emotional responses to specific classes of stress: A psychophysiological evaluation. Journal of Abnormal Psychology, 105: 25–33. APA (1994). Diagnostic and Statistical Manual of Mental Disorders (4th edition). Washington, DC: American Psychiatric Association. Arieti, S., & Bemporad, J. (1978). Psychotherapy of Severe and Mild Depression. Northvale, NJ: Jason Aronson. Arieti, S., & Bemporad, J. R. (1980). The psychological organization of depression. American Journal of Psychiatry, 137: 1360–1365. Bartels, A., & Zeki, S. (2004). The neural correlates of maternal and romantic love. NeuroImage, 21: 1155–1166. Beck, A. T. (1983). Cognitive therapy of depression: New perspectives. In: Treatment of Depression: Old Controversies and New Approaches, ed. P. J. Clayton & J. E. Barrett. New York: Raven Press, pp. 265–290. Beck, A. T. (1999). Cognitive aspects of personality disorders and their relation to syndromal disorders: A psychoevolutionary approach. In: Personality and psychopathology, ed. C. R. Cloninger. Washington, DC: American Psychiatric Press, pp. 411–429. Beck, A. T., Epstein, N., Harrison, R. P., & Emery, G. (1983). Development of the Sociotropy Autonomy Scale: A Measure of Personality Factors in Psychopathology. Unpublished manuscript, University of Pennsylvania, Philadelphia. Depression: An Evolutionarily Conserved Mechanism? • Commentaries Beebe, B., Jaffe, J., Buck, K., Chen, H., Cohen, P., Blatt, S. J., et al. (2007). Six-week postpartum maternal self-criticism and dependency predict 4-month mother–infant selfand interactive regulation. Developmental Psychology, 43: 1360–1376. Besser, A., & Priel, B. (2005). The apple does not fall from the tree: Attachment styles and personality vulnerabilities to depression in three generations of women. Personality and Social Psychology Bulletin, 31: 1052–1073. Bibring, E. (1953). The mechanism of depression. In: Affective Disorders: Psychoanalytic Contribution to Their Study, ed. P. Greenacre. New York: International Universities Press, pp.13–48. Blatt, S. (1974). Levels of object representation in anaclitic and introjective depression. Psychoanalytic Study of the Child, 29: 107–157. Blatt, S. J. (1995). Representational structures in psychopathology. In: Rochester Symposium on Developmental Psychopathology, Vol. 6: Emotion, Cognition, and Representation, ed. D. Cicchetti & S. Toth. Rochester, NY: University of Rochester Press, pp. 1–33. Blatt, S. J. (1998). Contributions of psychoanalysis to the understanding and treatment of depression. Journal of the American Psychoanalytic Association, 46: 723–752. Blatt, S. J. (2004). Experiences of Depression: Theoretical, Clinical and Research Perspectives. Washington, DC: American Psychological Association. Blatt, S. J. (2008). Polarities of Experience: Relatedness and Self-Definition in Personality Development, Psychopathology, and the Therapeutic Process. Washington, DC: American Psychological Association. Blatt, S. J., Auerbach, J. S., & Behrends, R. S. (2008). Changes in the representations of self and significant others in the treatment process. In: Mind to Mind: Infant Research, Neuroscience and Psychoanalysis, ed. A. Slade, E. Jurist, & S. Bergner. New York: Other Press, pp. 225–253. Blatt, S. J., Auerbach, J. S., & Levy, K. N. (1997). Mental representations in personality development, psychopathology, and the therapeutic process. Review of General Psychology, 1: 351–374. Blatt, S. J., D’Afflitti, J. & Quinlan, D. M. (1976). Experiences of depression in normal young adults. Journal of Abnormal Psychology, 85: 383–389. Blatt, S. J., D’Afflitti, J., & Quinlan, D. M. (1979). Depressive Experiences Questionnaire (DEQ). Unpublished research manual, Yale University, New Haven, CT. Blatt, S. J., & Levy, K. N. (1998). A psychodynamic approach to the diagnosis of psychopathology. In: Making Diagnosis Meaningful: ENHANCING evaluation and Treatment of Psychological Disorders, ed. J. W. Baron. Washington, DC: American Psychological Association, pp. 73–109. Blatt, S. J., & Luyten, P. (in press-a). Reactivating the psychodynamic approach to classify psychopathology. In: Contemporary Directions in Psychopathology: Toward the DSM-V, ICD-11, and Beyond, ed. T. Millon, R. Krueger, & E. Simonsen. New York: Guilford Press. Blatt, S. J., & Luyten, P. (in press-b). A structural-developmental psychodynamic approach to psychopathology: Two 59 polarities of experience across the life span. Development and Psychopatholology. Blatt, S. J., & Maroudas, C. (1992). Convergence among psychoanalytic and cognitive-behavioral theories of depression. Psychoanalytic Psychology, 9: 157–190. Blatt, S. J., Quinlan, D. M., Chevron, E. S., McDonald, C., & Zuroff, D. (1982). Dependency and self-criticism: Psychological dimensions of depression. Journal of Consulting and Clinical Psychology, 50: 113–124. Blatt, S. J., & Shichman, S. (1983). Two primary configurations of psychopathology. Psychoanalysis and Contemporary Thought, 6: 187–254. Blatt, S. J., & Zuroff, D. C. (1992). Interpersonal relatedness and self-definition: Two prototypes for depression. Clinical Psychology Review, 12: 527–562. Bowlby, J. (1980). Attachment and Loss, Vol. 3. Loss: Sadness and Depression. London: Hogarth Press. Charney, D. S., Barlow, D. H., Botteron, K., Cohen, J., Goldman, D., Gur, J. D., et al. (2002). Neuroscience research agenda to guide development of a pathophysiologically based classification system. In: A Research Agenda for DSM-V, ed. D. J. Kupfer, M. B. First, & D. A. Reigier. Washington, DC: American Psychiatric Association, pp. 31–83. Claes, S. J., & Nemeroff, C. B. (2005). Corticotropin releasing factor (CRF) and major depression: Towards an integration of psychology and neurobiology in depression research. In: The Theory and Treatment of Depression: Towards a Dynamic Interactionism Model, ed. J. Corveleyn, P. Luyten, & S. J. Blatt. Leuven, Belgium: University of Leuven Press, pp. 227–252. Engel, G. L. (1962). Anxiety and depression-withdrawal: The primary affects of unpleasure. International Journal of Psychoanalysis, 43: 89–97. Engel, G. L., & Reichsman, F. (1956). Spontaneous and experimentally induced depression in an infant with a gastric fistula. Journal of the American Psychoanalytic Association, 4: 428–452. Ewart, C. K., Jorgensen, R. S., & Kolodner, K. B. (1998). Sociotropic cognition moderates blood pressure response to interpersonal stress in high-risk adolescent girls. International Journal of Psychophysiology, 28: 131–142. Fazaa, N., & Page, S. (2003). Dependency and self-criticism as predictors of suicidal behavior. Suicide and Life-Threatening Behavior, 33: 172–185. Fenichel, O. (1945). The Psychoanalytic Theory of Neurosis. New York: W. W. Norton. Fonagy, P. (2003). Genetics, developmental psychopathology, and psychoanalytic theory: The case for ending our (not so) splendid isolation. Psychoanalytic Inquiry, 23: 218–247. Fonagy, P., Gergely, G., Jurist, E. L., & Target, M. (2002). Affect Regulation, Mentalization, and the Development of the Self. New York: Other Press. Fonagy, P., Steele, H., & Steele, M. (1991). Maternal representations of attachment during pregnancy predict the organization of infant–mother attachment at one year of age. Child Development, 62: 891–905. Fonagy, P., & Target, M. (2000). The place of psychodynamic 60 theory in developmental psychopathology. Development and Psychopathology, 12: 407–425. Freud, A., & Burlingham, D. (1944). Infants without Families: The Case For and Against Residential Nurseries. New York: International Universities Press. Freud, S. (1917e [1915]). Mourning and melancholia. Standard Edition, 14: 243–258. Fries, E., Hesse, J., Hellhammer, D., & Hellhammer, D. J. (2005). A new view on hypocortisolism. Psychoneuroendocrinology, 30: 1010–1016. Gero, G. (1936). The construction of depression. International Journal of Psychoanalysis, 17: 423–461. Gold, P. W., & Chrousos, G. P. (2002). Organisation of the stress system and its dysregulation in melancholic and atypical depression: High vs low CRH/NE states. Molecular Psychiatry, 7: 254–275. Gruen, R. J., Silva, R., Ehrlich, J., Schweitzer, J. W., & Friedhoff, A. J. (1997). Vulnerability to stress: Self-criticism and stress-induced changes in biochemistry. Journal of Personality, 65: 33–47. Gunnar, M., & Quevedo, K. (2007). The neurobiology of stress and development. Annual Review of Psychology, 58: 145– 173. Harlow, H. F. (1958). The nature of love. American Psychologist, 13: 673–685. Hauser, S. T., Golden, E., & Allen, J. P. (2006). Narrative in the study of resilience. Psychoanalytic Study of the Child, 61: 205–227. Heim, C., Plotsky, P. M., & Nemeroff, C. B. (2004). Importance of studying the contributions of early adverse experience to neurobiological findings in depression. Neuropsychopharmacology, 29: 641–648. Levinson, D. F. (2006). The genetics of depression: A review. Biological Psychiatry, 60: 84–92. Lorand, S. (1937). Dynamics and therapy of depressive states. Psychoanalytic Review, 24: 337–349. Luyten, P., & Blatt, S. J. (2007). Looking back towards the future: Is it time to change the DSM approach to psychiatric disorders? The case of depression. Psychiatry: Interpersonal and Biological Processes, 70: 85–99. Luyten, P., Blatt, S. J., & Corveleyn, J. (2005). The convergence among psychodynamic and cognitive-behavioral theories of depression: Theoretical overview. In: The Theory and Treatment of Depression: Towards a Dynamic Interactionism Model, ed. J. Corveleyn, P. Luyten, & S. J. Blatt. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 79–106. Luyten, P., Blatt, S. J., Van Houdenhove, B., & Corveleyn, J. (2006). Depression research and treatment: Are we skating to where the puck is going to be? Clinical Psychology Review, 26, 985–999. Luyten, P., Corveleyn, J., & Blatt, S. J. (2005). The convergence among psychodynamic and cognitive-behavioral theories of depression: A critical overview of empirical research. In: The Theory and Treatment of Depression: Towards a Dynamic Interactionism Model, ed. J. Corveleyn, P. Luyten, & S. J. Blatt. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 107–147. Luyten, P., Sabbe, B., Blatt, S. J., Meganck, S., Jansen, B., De Sidney J. Blatt & Patrick Luyten Grave, C., et al. (2007). Dependency and self-criticism: Relationship with major depressive disorder, severity of depression and clinical presentation. Depression & Anxiety, 24: 586–596. Luyten, P., Vliegen, N., Van Houdenhove, B., & Blatt, S. J. (in press). Equifinality, multifinality and the rediscovery of the importance of early experiences: Pathways from early adversity to psychiatric and (functional) somatic disorders. Psychoanalytic Study of the Child. Lyons-Ruth, K., Yellin, C., Melnick, S., & Atwood, G. (2005). Expanding the concept of unresolved mental states: Hostile/ helpless states of mind on the Adult Attachment Interview are associated with disrupted mother–infant communication and infant disorganization. Development and Psychopathology, 17: 1–23. Mikulincer, M., & Shaver, P. R. (2007). Attachment in Adulthood: Structure, Dynamics, and Change. New York: Guilford Press. Moffitt, T. E., Caspi, A., & Rutter, M. (2005). Strategy for investigating interactions between measured genes and measured environments. Archives of General Psychiatry, 62: 473–481. Nacht, S., & Racamier, P. C. (1960). Symposium on “depressive illness” 2. Depressive states. International Journal of Psychoanalysis, 41: 481–496. Parker, G. (2007). Atypical depression: A valid subtype? Journal of Clinical Psychiatry, 68 (Suppl. 3): 18–22. Provence, S., & Lipton, R. C. (1962). Infants in Institutions. New York: International Universities Press. Rado, S. (1928). The problem of melancholia. International Journal of Psychoanalysis, 9: 420–438. Robertson, J., & Robertson, J. (1971). Young children in brief separation: A fresh look. Psychoanalytic Study of the Child, 26: 264–315. Robins, C. J., & Ladd, J. (1991). Personal Style Inventory, Version II. Unpublished research scale, Duke University, Durham, NC. Rochlin, G. (1953). The disorder of depression and elation. Journal of the American Psychoanalytic Association, 1: 438–457. Roisman, G. I., Padron, E., Sroufe, L. A., & Egeland, B. (2002). Earned secure attachment in retrospect and prospect. Child Development, 73: 1204–1219. Sandler, J., & Joffe, W. G. (1965). Notes on childhood depression. International Journal of Psychoanalysis, 46: 88– 96. Sauro, M. D., Jorgensen, R. S., Larson, C. A., Frankowski, J. J., Ewart, C. K., & White, J. (2001). Sociotropic cognition moderates stress-induced cardiovascular responsiveness in college women. Journal of Behavioral Medicine, 24: 423–439. Seligman, M. E. P. (1975). Helplessness: On Development, Depression, and Death. New York: Freeman. Shahar, G. (2006). Clinical action: Introduction to Special Section on the action perspective in clinical psychology. Journal of Clinical Psychology, 62: 1053–1064. Sibley, C. G. (2007). The association between working models of attachment and personality: Toward an integrative frame- Depression: An Evolutionarily Conserved Mechanism? • Commentaries work operationalizing global relational models. Journal of Research in Personality, 41: 90–109. Spitz, R. A. (1946). Anaclitic depression. Psychoanalytic Study of the Child, 2: 313–342. Steele, H., Steele, M., & Fonagy, P. (1996). Associations among attachment classifications of mothers, fathers, and their infants. Child Development, 67: 541–555. Thase, M. E. (2007). Recognition and diagnosis of atypical depression. Journal of Clinical Psychiatry, 68 (Suppl. 3): 11–16. Ursano, R. J. (2004). Editor’s note. Psychiatry, 67: 309. Van Houdenhove, B., Van Den Eede, F., & Luyten, P. (2009). 61 Does hypothalamic-pituitary-adrenal axis hypofunction in chronic fatigue syndrome reflect a “crash” in the stress system? Medical Hypotheses, 2, 701–705. Weissman, A. N., & Beck, A. T. (1978). Development and Validation of the Dysfunctional Attitudes Scale: A Preliminary Investigation. Paper presented at the 86th Annual Convention of the American Psychological Association, Toronto (August–September). Wirtz, P. H., Elsenbruch, S., Emini, L., Rüdisüli, K., Groessbauer, S., & Ehlert, U. (2007). Perfectionism and the cortisol response to psychosocial stress in men. Psychosomatic Medicine, 69: 249–255. Is Sadness an Evolutionarily Conserved Brain Mechanism to Dampen Reward Seeking? Depression May Be a “Sadness Disorder” Commentary by Peter Freed (New York) Keywords: sadness; depression; attachment; emotion; yearning; incentive salience Douglas Watt and Jaak Panksepp’s article addresses two fundamental questions in behavioral neuroscience: 1. How is the protest phase of separation distress adaptively terminated? 2. What is the evolutionary purpose of depression? Their innovative response is to use each question to answer the other. Separation distress is terminated by depression, and depression evolved to terminate separation distress. In analyzing this appealing, if somewhat circular, argument, I will draw contrasts between it and a model addressing the same questions recently published by myself and John Mann (Freed & Mann, 2007), to which it bears many similarities, but from which it departs in several key aspects. Freed and Mann suggest that the core problem in separation distress is the persistent incentive salience, or reward-value, of the missing love object. This incentive salience drives four key features of the protest phase: (1) attention toward reminders of the missing attachment, (2) yearning for the missing attachment, (3) motivation to seek out the missing attachment, and (4) crying behavior. In our model, the opportunity cost of protest is its most serious downside. While a period of heightened incentive salience may adaptively promote reunion Peter J. Freed: Division of Neuroscience, Columbia University Medical Center, New York, NY, U.S.A. with a missing object, attention/yearning/seeking/crying comes at the expense of pursuing other strategies toward adaptive fitness. At a certain break-point the opportunity cost of protest becomes too high relative to other avenues toward regaining function, and, for adaptive fitness to be maximized, it must be downregulated. As in the Watt–Panksepp model, Freed and Mann suggest that the despair phase of separation distress is a likely candidate for facilitating the downregulation of protest. But which parts of despair are targeting which aspects of protest? Rather than suggest that the entire despair phase performs some function with respect to the entire protest phase, we focus on the core “positive symptom” of despair—sadness—and its relationship to the core positive symptom of protest—yearning. We hypothesize that sadness may be a subjective correlate of neural events in which dopaminergic yearning and seeking mechanisms, geared toward obtaining oxytocin and opioid rewards, are downregulated. We suggest that sadness facilitates the rapid onset of what I will call the adaptive “negative symptoms” of despair: amotivation, immobility, introversion, depressive affect, and anhedonia. We summarize our model as follows: When the desire for reunion with a deceased loved one is both overpowering and maladaptive, a mechanism that inhibits reward seeking and downregulates yearning and attentional bias [towards the attachment] is useful. Sadness may be such a mechanism. However, if sadness does not perform such a function, further inquiry is needed into the mechanisms by which © 2009 The International Neuropsychoanalysis Society • http://www.neuropsa.org 62 Peter Freed bereaved persons decouple outdated stimulus–reward associations. [Freed & Mann, 2007, p. 32] As reviewed below, Watt & Panksepp have nominated depression where we put forth sadness. Finally, as with Watt & Panksepp, we suggest that adaptive hope-renouncing mechanisms in the human brain—in the case of our model, sadness—can become disordered, giving way to depression. If sadness is shown to reduce incentive salience and the neurocircuitry of minutes-long episodes of sadness overlaps with that of sustained periods of depression, it may be plausible that depression is in part a “sadness disorder” in which incentive salience, hopefulness, motivation, and goal-directed activities are all reduced as a result of the inappropriate triggering of this sadness mechanism. [Freed & Mann, 2007, p. 32] In short, the Freed–Mann and Watt–Panksepp models both are concerned with how protest is dampened when it becomes maladaptive; both suggest that despair plays some downregulatory role; and both suggest that despair can become disordered and give way to depression. Furthermore, both emphasize that attachment figures provide homeostatic regulation and are experienced as rewarding and that the dampening of reward seeking and return of homeostasis must be end products of any adaptive process in despair. Given these many similarities, readers may wonder how the two models differ. Watt & Panksepp do not address this question in their article, and in fact for unclear reasons our paper and model are only referenced in passing. As such, I must offer my own analysis of the distinction between their framework and ours—I look forward to learning whether they agree with it. In my view, the core difference is that Freed & Mann attribute to the emotion of sadness the same protest-dampening functions that Watt & Panksepp attribute to depression, a term they use to describe the despair phase of separation distress. Before examining their model in detail, I would emphasize that the overriding reason that Freed & Mann did not suggest that depression (despair) per se was adaptive is that in our view despair is a heterogeneous state combining adaptive and maladaptive features of various etiologies. As such the phase cannot be usefully attributed a singular function as a whole and instead, we believe, must be broken down and analyzed in terms of distinct processes (e.g., helplessness, anhedonia, stress). This point is implicit in our suggestion that attachments provide homeostatic regulation and, therefore, that when they die, dysregulation of the organism maladaptively follows, including a protracted stress response and neurovegetative symptoms. This dysregulation takes time to emerge and does not appear prominently during protest. The term “phase” in the phrase “despair phase” gives the false impression that all the characteristics of this phase are somehow orchestrated, when in fact many are likely homeostatic breakdown pathologies that take time to emerge. However, implicit in our model is also the idea that despair does contain adaptive processes which can be conceptually parsed from the maladaptive ones. In particular, we believe it is downregulation of the incentive salience of the deceased that is the crucial adaptive process during the despair phase. This brings me to the positive hypothesis of our article, which is our answer to the question “how does downregulation of incentive salience occur?” Here we suggest that sad emotion—a minutes’- to hours’-long actively generated state—plays a key role in reducing incentive salience. I emphasize here that we purposely focus on this brief emotion because it helps to explain the defining temporal signature of normal grief: “pangs of grief.” Pangs of grief may be loosely defined as brief but intense amalgams of yearning, sadness, anhedonia, and preoccupation with the missing object. Of crucial importance, these pangs are interspersed with periods of normal function. Following in a long tradition of analytic thinking from Freud onwards, we emphasize that this sinusoidal nature of grief bestows a singular, and incalculably beneficial, adaptive function over that attributed to depression in Watt & Panksepp’s article. It is this: grief permits the maintenance of normal social function and all the adaptive benefits that attend it. To argue that depression is the evolutionarily conserved process by which protest is dampened is, implicitly, to argue that it bestows some adaptive advantage that is greater than the loss of social function it requires, relative to grief. In contrast to Watt & Panksepp, we believe that chronic negative affect is rarely adaptive, while brief bursts of negative affect that rapidly alter an organism’s orientation, priorities, and behaviors are. This is seen with normal versus pathological anxiety and anger, and we see no reason that this should not also be the starting assumption about sad emotion as well. We therefore start by hypothesizing that any adaptive negative affect during despair should be rapidly reversible, thereby granting the organism maximal behavioral flexibility. Pangs of grief grant behavioral flexibility. The hours- to days-long periods of euthymia in grief allow the mourner to continue to maintain his or her work and social relationships, to continue to provide value to Depression: An Evolutionarily Conserved Mechanism? • Commentaries any group he or she is a part of, to continue to eat and sleep and pursue the activities of daily living, and to retain access to peak cognitive functioning. However, the acute pangs themselves facilitate important decathexis. Importantly, we believe the burst-like nature of the decathexis in grief is likely more adaptive than the tonic and global decathexis in which all pleasure and normal social function is lost in depression. Having now outlined the Freed–Mann model and its overall differences from the Watt–Panksepp model, I now proceed to analyzing their model per se. I will subsequently critique the Freed–Mann model in the hope of anticipating (and in several places I suspect agreeing with) their critiques. I will close with a suggestion that the two models may be usefully combined in an effort to find a way forward to understanding the important but mysterious connections between mourning and melancholia. Summary of Watt & Panksepp’s argument Watt & Panksepp’s work embodies an inspirational and sorely needed conviction that a review of “bottom-up” brain changes in depression, combined with a sophisticated “top-down” evolutionary and psychological model, may meet in the middle to create an integrated model of depression. They correctly note that only such a broad model can hope to do justice to the lived experience of the disorder and its neuroanatomy. Furthermore, only such a model can point the way to new research paradigms and novel treatments for depression. Their focus on dynorphin, a product of their review, is an example of the concrete progress that can come from such an effort. The authors are rightly critical of pure bottom-up models, which they demonstrate to be insufficient to produce an explanation of depression. They review the inadequacy of models based purely on findings regarding norepinephrine, serotonin, dopamine, opioids, GABA, glutamate, dynorphin, substance P, CRF, BDNF, cortisol, and many other small molecules. Each is shown to contribute important elements to an understanding of the DSM-IV symptoms of depression, but to be insufficient on its own to explain the illness. They perform a similar review, though less extensive, of brain regions involved, including PAG, PFC, amygdala, and ACC (including BA25). Throughout they emphasize that the brain may be too complex to allow depression to be explained by any single overriding theory. However, despite these caveats, and consistent with 63 the article’s bold title, they seek to combine key features of the data to create an organizing model of depression. In addition to the model implied by the title, to my reading they imply two other models. Because these are presented separately, and briefly, and are not explicitly reconciled to one another, I shall discuss them separately. All three models begin with a common set of observations. First, attachment is pleasurable, is mediated by oxytocin and opioids, and promotes homeostasis with low allostatic load. Separation from caregivers deprives the organism of this pleasurable attachment and homeostatic regulation, leading to high allostatic load. A stress cascade ensues that is metabolically demanding and gives rise to many of the symptoms of the protest phase of separation distress. To name but a few highlighted by the authors, the HPA axis is activated, with cortisol and CRF having various effects on cognition, anxiety, and mood. Dysphoria is produced as a function not only of the reduction of oxytocin and opioids, but of the effects of CCK and dynorphin. Brain regions involved in executive functions become hypoactive and may process negative stimuli more readily, while limbic and paralimbic regions such as BA25 demonstrate increased processing that may be related to negative affect. Brain regions implicated in separation distress, and regulated by oxytocin and opioids, are also active, including the PAG and BNST. They note that “normal” separation distress is adaptive but, if not self-limiting, can progress to depression. They are not specific about what criteria help to define when an organism has crossed the line from adaptation to pathology. Nevertheless, they make clear that over time the distress response becomes pathological. BDNF decreases, there is atrophy of hippocampus and other brain regions, social function suffers, and the metabolic demands placed on the organism are inconsistent with optimal health. It is from these data that each of the three models takes their cue. What might be called their “decathexis” model, and the topic of the paper’s title, follows the uncited Freed–Mann model closely, although it is possible that my reading of their model is unduly influenced by my familiarity with my own. However, as I read it, it explains the data above by focusing on the adaptive risk of remaining attached to a caregiver who no longer provides care. Decathexis is necessary when caregivers are absent. For this purpose, the despair phase of separation distress (which the authors appear to describe as depression at some points) evolved to “shut down” attachment seeking seen in protest. This model 64 accounts for the decline in opioids and oxytocin and for the dysphoric effects of dynorphin. It also makes sense of psychoanalytic contributions, described at the article’s close, in which depression reflects an inability to attain goals. It is also consistent with theoretical work on goal renunciation done by Nesse (2000) and others. Watt & Panksepp state that the despair phase lasts long enough to accomplish the decathexis goal, at which point it “self-limits”; people with deficits in this self-limiting mechanism, possibly as a function of early-life difficulties, may be prone to pathology. As discussed below, they are not specific about when, why, and how this self-limitation occurs. What might be called the “social brake” model— though less developed than the decathexis model— suggests that subtypes of depression may be adaptive shutdown mechanisms for other social emotions besides separation, including sex, play, and status. Status is the best explained of these. They suggest that when efforts to climb status gradients are assessed to be too dangerous, despair may save the physical body from attack by others, even as it renders the psyche sorrowful. Again, a loss of motivation and pleasure experiences are adaptive in this context. Finally what might be called a “stress model” appears in pieces throughout the article and seems to be only partially overlapping with the separation-distress model. Here, Watt & Panksepp imply that if adaptive, the despair phase should dampen rather than increase the stress of protest. I was not sure they explained how the despair phase might do this; most of their emphasis was on the dangers of stress, rather than its downregulation. Critique of the Watt–Panksepp model Having summarized their model as I understand it, I now highlight four trouble spots that require clarification. What separates the despair phase from depression? First, the term “depression” seems sometimes to be used to describe the apparently adaptive despair phase of separation distress and at other times to describe frank psychopathology, consistent with the DSM. Because the premise of the article requires despair to be an evolutionarily conserved adaptation, I think it would be advisable to avoid conceptual drift by clearly Peter Freed segregating it from psychopathology. I believe their argument would be greatly clarified if they were to use two words (“despair” vs. “depression”) to describe the distinct adaptive and pathological conditions to which they now apply the single term “depression.” This would require that the title of their article be changed to “Despair: an evolutionarily conserved mechanism to terminate protest; depression: a pathology of despair?” Terminology aside, the question arises as to what, exactly, divides despair from depression. Throughout the article the authors refer to the “self-limiting” nature of despair, but they do not describe the mechanism of limitation. The details of this limitation are a crucial piece of the puzzle that needs more clarification. I think that three questions should be answered: 1. What precisely is the brain mechanism that terminates despair and returns the person to normal function? 2. How does the brain “decide” when to trigger this mechanism? What process must be complete (e.g., decathexis) before it is triggered, and how is this completion detected? 3. What pathologies (e.g., early initiation, late termination, excessive intensity) of this mechanism may permit pathological depression to develop? Depression as decathexis: turning off one bulb by blowing every fuse in the house It is possible that the article’s main argument embodies something of a logical fallacy. Let us say that it is true that depression terminates separation distress. Does this mean that this is its purpose? I think some improvements to the argument might attend a discussion of all the candidate processes by which protest might be terminated, followed by a review of the relative strengths and weaknesses of each. As implied above, I think such a review would reveal that grief—a process hardly discussed in this article—is an excellent candidate to which depression must be compared. I will discuss this more below. However, as the heading of this section indicates, while depression dampens all reward seeking—akin to blowing every fuse in the house—is it possible that some other process might more elegantly reduce yearning for the missing attachment, while preserving general reward processes crucial to survival—akin to turning the switch on a single lamp? Depression: An Evolutionarily Conserved Mechanism? • Commentaries The problem of stress I was not sure that the stress story was a complete one, as presented. The authors offer two pieces of what I think needs to be a three-piece model explaining the role of stress in depression. First, they show that attachment is protective against stress, and, consistent with this, separation from caregivers triggers stress that characterizes the protest phase. Second, they show—and do so admirably—that stress is a gateway into depression and, indeed, that control of stress at the biological level may in the future play a crucial role in resolving pathological depression. But at this point they face a choice, and I was not sure that they made one. One option is that they can show that the despair phase of separation distress adaptively terminates protest-phase stress. This would provide an evolutionary purpose for despair distinct from decathexis. If this is the case, we need more detail, as the vast bulk of their review of this topic indicates that stress worsens, rather than improves, during despair. The second option is that, given that stress worsens in despair, it represents a pathological component of the despair phase. This then puts pressure on their model to adjust to the fact that the despair phase, per se, does not have an adaptive function but, rather, must be subdivided into adaptive and maladaptive components. Subtypes of depression A final critique is over the “social brake” model of depression, which though mentioned briefly deserves a foundational place in the neuroscience of depression. The authors raise the provocative—and for psychoanalysts, laudable—idea that depression terminates forms of social reward other than attachment reward. For followers of Sidney Blatt’s work on introjective versus anaclitic depression (Blatt, 2004), the suggestion that depression may facilitate disengagement from status conflicts and be experienced subjectively as a failure of the self—rather than the loss of an object—was quite welcome, and a harbinger of a hopefully fruitful intellectual collaboration between psychoanalysis and neuroscience. However, I thought that this suggestion inadvertently poses problems for the decathexis model, as it takes the purpose of despair—which in the article is presented as a response to protest—as possibly being to address problems that are not related to protest at all. This raises the question of whether despair is an “independent module” not inextricably tethered to 65 attachment. The details of this will be important. For example, are oxytocin and opioid systems the final common pathway for status pleasure? Critique of the Freed–Mann model The Freed–Mann model makes three claims that the Watt–Panksepp model may correctly dispute; empirical study will be necessary to do so. The first is that sadness, the “positive symptom” of despair, triggers depression, which I believe can be considered the “negative symptoms” of despair— amotivation, anhedonia, anergia, introversion—as they represent the absence of normal function. Watt & Panksepp describe these as a fundamental loss of hopefulness in the face of adversity. In our model, these symptoms are brief—on the order of minutes to hours—and dissipate rapidly, allowing the return of normal function. Therefore, our focus is on functional brain changes rather than on neurobiological ones. I think this is a matter for empirical study, and critics would be well within their rights to argue that the positive and negative symptoms of despair are not causally connected. I suspect that this is what Watt & Panksepp believe, and I think that if this is the case, they have clinical evidence on their side: many periods of depressive affect consist, simply, of the absence of normal function, without the involvement of sad affect. If this is the case, then work must be performed separately on sadness and depressive affect. Second, we clearly locate sadness in the despair phase of separation distress. However, I believe that critics—and personal conversation with Panksepp and a review of his work leads me to believe he is one of them—might place sadness squarely in the protest phase of separation distress. In the Freed–Mann 2007 article, we suggest that this question should become an item for empirical study. However, if sadness is properly understood as a protest-phase behavior, then it is likely that some other process in depression accomplishes the decathexis of stimuli from reward predictions—which is to say, negative reward–prediction errors. A region not discussed by Watt and Panksepp—the habenula—is currently emerging as just such a candidate region; it may detect the absence of predicted rewards and dampen VTA production of dopamine, thereby reducing incentive salience and encoding negative reward-prediction errors. The third and final claim—and the one closest to psychoanalysis proper—that may be disputed is that pangs of grief allow the targeted decathexis of love 66 objects while preserving normal reward seeking in other areas of life, thereby preserving normal social function. Watt & Panksepp may believe that depression—which essentially produces a decathexis field that robs the reward value of any stimulus entering it, be it sexual, nutritive, aspirational, interpersonal—is necessary to accomplish the decathexis task. Here, however, I believe the burden remains on those suggesting that depression is adaptive to prove that grief does not produce the main effect needed without the nasty side effects of depression. In closing, I want to draw attention to a crucial difference between grief, including episodes of sadness, versus depression, that deserves a longer exposition. Negative emotion during grief comes in waves. These waves of intense pangs of yearning, sadness, and thinking about the deceased are interspersed with prolonged period of relative euthymia. During these periods the bereaved person is able to prosecute normal social relationships in a way that promotes integration with his or her social world, increases his or her attractiveness to others, and keeps available rewards within reach. This stands in contrast to the extended dysfunction of depression, in which social dysfunction and reward insensitivity are interminable. What makes the waveform of grief possible is the brain’s capacity to rapidly dampen—just as it rapidly generates—strong negative affect. I think for these reasons, and as elaborated on above, grief—and in particular, sadness—must be considered the most likely natural process for terminating separation distress. Phasing out phases? I want to suggest that, moving forward, we should discard the phase model of separation distress and substitute in its stead a task framework. This would have the immediate benefit of allowing us to rapidly distinguish between adaptive and maladaptive features of despair, rather than seeking to explain the phase as a whole. Instead, we should ask what tasks must be accomplished Peter Freed by a person who has lost the homeostatic regulation of an attachment figure and for whom protest has failed. In the Freed–Mann model reviewed here, the answer is that the rapid encoding of negative reward-prediction errors, leading to a downregulation of dopaminergic seeking/incentive salience, is necessary, as it can free the bereaved person from the mandate to pursue opioid or oxytocin rewards in the form of the deceased and, instead, to seek them elsewhere. Or as Freud would call it, decathexis. Or as Watt & Panksepp would call it, the loss of hopefulness in the face of adversity. Key questions that then remain are these: 1. whether this loss of hopefulness, which certainly occurs at some point during despair, occurs as a result of sadness or regardless of it; 2. whether the loss of hopefulness occurs in bursts seen in pangs of grief or requires a sustained period of depression; 3. how the loss of hopefulness is itself terminated— whether through adjustment to a negative rewardprediction error, as in my own thinking, or some other mechanism. On these questions depends the manner in which the known biological and emerging functional changes in depression should be interpreted. Watt & Panksepp’s clarion call for synthetic bottom-up plus top-down empirical-evolutionary models is sorely needed and with little doubt represents the way forward on this tricky problem. REFERENCES Blatt, S. J. (2004). Experiences of Depression. Washington, DC: American Psychological Association. Freed, P. J., & J. J. Mann (2007). Sadness and loss: Toward a neurobiopsychosocial model. American Journal of Psychiatry, 164 (1): 28–34. Nesse, R. (2000). Is depression an adaptation? Archives of General Psychiatry, 57: 14–20. Depression: An Evolutionarily Conserved Mechanism? • Commentaries 67 Depression as a Mechanism for Terminating Separation Distress: A Critical Review Commentary by Paul E. Holtzheimer (Atlanta) Keywords: depression; mood disorders; animal models; separation distress; phenomenology Douglas Watt and Jaak Panksepp present a very thorough, thoughtful, and thought-provoking review of the neurobiology and treatment of depression. Based on this review, the authors propose an overarching hypothesis of depression as an evolutionarily selectedfor mechanism in mammals for terminating separation distress. This hypothesis is offered as a potential explanatory model for the available and diverse neurobiological findings in depression research; furthermore, the authors hope this model can serve as a guide for future investigation into the neurobiological underpinnings of depression and antidepressant-treatment development. The authors’ argument relies on several premises: 1. Separation-distress behaviors (e.g., crying) in response to social loss occur in most mammals, including humans. 2. Mechanisms to inhibit separation-distress behaviors exist in mammals. 3. These mechanisms have been evolutionarily selected for since the inability to inhibit such behaviors in infants would have an untenable survival/reproductive cost. 4. In susceptible individuals, these inhibitory mechanisms—what the authors refer to as a fundamental shutdown process—are not properly regulated, leading to a protracted abnormal state; this protracted state is what is clinically referred to as depression. The authors provide support for this argument by citing a wealth of data relating depression to social loss/ stress. Additionally, the authors show that the response of animals to a separation-distress testing paradigm has significant phenomenological overlap with the clinical depressive syndrome in humans. Finally, the authors note that separation-distress responses in animals are Paul E. Holtzheimer: Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, U.S.A. associated with changes in biological systems (endocrinological, immunological, etc.) similar to those tied to human depression. While the proposed model has much to support it—and does indeed provide a novel framework to guide future depression research—there are several questions that need to be addressed to strengthen this work. In this brief commentary, I will summarize three main questions for further discussion. Question #1: Does the natural history of separation distress in humans and other mammals support such an explanatory model for human depression? Conversely, if adult human depression represents an evolutionarily conserved process, what is its analogue and prevalence in other adult mammals? The authors’ principal argument is that mechanisms involved in suppressing certain separation-distress behaviors in infant mammals are conserved and available to adult mammals, including humans. To support this premise, it would be reasonable to describe in more detail the natural history of separation-distress mechanisms in mammals, including humans. Specifically, some discussion of the normal operation of these processes in adult mammals would be helpful. Are the authors suggesting that all adult mammals continue to engage these processes (e.g., bereavement), or are they suggesting that these mechanisms are inherently abnormal when present in adulthood (e.g., depression)? Along these lines, one wonders what the animal correlate of adult human depression might be. If human depression is based in an evolutionarily conserved neurobiological system, then it must be necessarily presumed that this system exists and operates in nonhuman mammals. Thus, one would expect that other mammals, especially the nonhuman primates, should have some incidence of a depressive-like syndrome. Although there are multiple animal models for depression, it is not clear what the prevalence of “depression” is in nonhuman adult © 2009 The International Neuropsychoanalysis Society • http://www.neuropsa.org 68 mammals in the wild. Presumably, if it was on the order of 7%–15% (as in humans), there would be a description of this in the literature. The authors might strengthen their argument by a more thorough discussion of this issue. If the presence of a depressive-like syndrome is not found in other mammals, or is much less prevalent than in humans, this would argue that human depression is unique in some fundamental way (and that the separation-distress model may not be most appropriate). This discussion is critical since it helps establish the degree to which human depression is simply the expression of neurobiological processes present in other mammals versus being a condition unique to humans because of their unique neurobiology. For example, one might argue that neuroanatomical studies (including numerous imaging studies) support a primary role for the prefrontal cortex in the pathophysiology of depression. Given that humans have a much-expanded prefrontal cortex compared to any other mammalian species, one could then argue that disorders involving the prefrontal cortex, such as depression, are unique to humans. If this holds, then any animal behavior-based model of depression (such as the separation-distress model proposed by the authors) is at best incomplete as it cannot necessarily account for disorders or features of disorders that result from biological processes only present in humans. Question #2: If depression fundamentally results from brain mechanisms related to social-loss separation distress, how are nonstress-related depressive episodes explained? The model presented by Watts & Panksepp relies on social loss as the link to evolutionary mechanisms related to separation distress. However, not all depressive episodes occur following social loss. Many episodes of depression follow stress that is not inherently social (traumatic brain injury, stroke, loss of a primary body function such as sight or hearing, loss of a limb, etc.). One might then conclude that some other feature of stress (beyond its relationship to separation/social loss) may underlie its depressogenic properties. An example supporting this can be found in one of the more interesting primate models of depression: variable foraging demand (VFD: see Coplan et al., 1996). In this model, mother–infant monkey dyads are exposed to one of three different foraging conditions over time: high food availability (predictable), low food availability (predictable), and variable food Paul E. Holtzheimer availability (unpredictable). Separation time between mother and infant is controlled; however, infants in the variable-foraging condition develop a depressivelike syndrome not seen in the other conditions. Furthermore, it is notable that it is primarily the mother that experiences the stress directly (i.e., the infant receives adequate nutrition regardless of condition), but the depressive syndrome occurs in the infant. This argues that some other aspect of this stress beyond separation (unpredictability? uncontrollability?) may be associated with depression. The authors might comment on the alternative hypothesis that depression results from disruption of stress response systems more generally, with social loss/separation distress as a special case. Beyond this, it is well-known that many depressive episodes occur de novo without any apparent trigger. It would seem that any model for depression would need to account for these episodes as well. However, the authors’ hypothesis as presented does not provide an easy explanation for how depression could arise in the absence of any stressor (including social loss). These points argue that persistence of social-loss separation-distress mechanisms in adulthood may underlie some forms of depression—but not all. If the authors are proposing that their model applies to a specific subset of depressed patients, this might be stated explicitly. Alternatively, they could discuss how their model, as proposed, might relate to depression unrelated to social loss or to any other stressor/environmental trigger. Question #3: Does human depression (from a neurobiological perspective) correspond to the state of physiological shutdown associated with separation distress or with the abnormal regulation of this process? That is, is depression “sadness” or “the inability to regulate sadness”? Throughout the article, the authors appear to equate depression with sadness—and both with the separation-distress “despair” phase. However, like separation distress in young animals, sadness is a very normal human emotional state. One presumes that some degree of sadness is appropriate following social loss even in adulthood—for example, bereavement following the loss of a loved one. What appears to distinguish the clinical disorder of depression is not sadness itself, but (1) the presence of sadness in the absence of a known trigger; (2) a degree of sadness and associated emotions/cognitions (e.g., guilt, anxiety, hopelessness, sui- Depression: An Evolutionarily Conserved Mechanism? • Commentaries cidal ideation) more extreme than would be expected given a known trigger; and/or (3) the persistence of sadness beyond presumably normal limits. Thus, it seems depression may be better defined as the inability to terminate/suppress sadness rather than the simple presence of sadness; in other words, depression is abnormal negative-mood regulation rather than negative mood per se. Related to the authors’ thesis, one can then ask whether depression (in their view) is essentially equivalent to the physiological shutdown associated with separation distress or whether depression is actually the disturbed regulation of this (otherwise normal) process. This is a critical distinction since it provides a subtly different framework for understanding the neurobiological findings in depression reviewed in this article. If one accepts that depression is not sadness but, rather, the disordered regulation of sadness, then the majority of neuroscience findings in depression (where data from currently depressed subjects are compared to those from nondepressed controls) become even more (!) confusing: these findings may then represent neurobiological changes/differences associated with being sad (which could be the correlates of normal sadness) and changes/differences related to disrupted mood regulation (the inability to not be sad—i.e., the “real” biology of depression). Concerning treatment, understanding depression as dysfunctional negative mood regulation might explain why certain successful antidepressant treatments (e.g., SSRIs) have few, if any, effects in nondepressed individuals—that is, these are not mood-elevating but, rather, mood-regulating treatments. Or, this might explain why certain acute and subacute treatments for depression (ECT, sleep deprivation, and perhaps ketamine) are also associated with such a high relapse rate: these treatments may be “shifting” the patient’s state from sadness to euthymia but doing nothing to address the underlying deficiency in mood regulation. Such a redefinition of depression has further implications for what are considered depressive symptoms. If sadness (and its associated symptoms) are viewed as “normal,” and the inability to regulate these is considered abnormal, then one could argue that the current DSM-IV criteria for depression do not adequately highlight the behavioral correlates of depression. Instead, it could be proposed that symptoms representative of dysfunctional negative-mood regulation (negative cognitive bias, hopelessness, helplessness) are more central to the diagnosis than are other symptoms (stated mood, sleep and appetite changes, etc.) that are essentially epiphenomena. 69 Clearly, a full discussion of this is beyond the authors’ intended scope. However, it would be instructive if they could comment on whether they view depression, from a neurobiological standpoint, as referring to the state of shutdown itself or the disrupted regulation of the shutdown process. The answer to this question has specific relevance to the validity of separationdistress and other models of depression: “depressivelike” behaviors exhibited by animals may actually be analogs of normal sadness—not the disrupted mood regulation inherent to depression. If the authors agree that depression, at least in part, results from disrupted mood regulation, then some discussion of how this might relate to their primary hypothesis would be warranted. Summary Watt & Panksepp are commended for offering such an impressive review of the depression neuroscience literature coupled with an intriguing hypothesis to guide future research. As a clinical neuroscientist, I especially welcome their thoughts and suggestions concerning treatment development and agree that modulators of the opioid and oxytocin neurotransmitter systems (among others) should be more aggressively pursued. As a practicing psychiatrist (specializing in the medication management of patients with treatment-resistant depression), I also strongly agree that psychotherapy (including behavioral, cognitive, and psychodynamic approaches) is an extremely important antidepressant therapy that should be recommended for most, if not all, depressed patients. In line with the discussion above, psychotherapy may be able to fundamentally alter and potentially normalize mood-regulatory neural systems, thereby “curing” depression in a manner that somatic treatments may never be able to achieve. I disagree somewhat with the authors’ view that the recommendation and use of psychotherapy have been primarily constrained by a bottom-up neurobiological view and pressure from “Big Pharma”—rather, I think the inequity in mental health coverage by thirdparty payers, especially for psychotherapy, has played a much larger role. Watts & Panksepp have gone further than most in proposing an explanatory model for depression that fully integrates a diverse and often confusing neurobiological database. Given the current state of the field, it is unlikely that any model for depression will be easily accepted by the neuroscience and psychiatric community—however, this particular model appropri- 70 Ilia Karatsoreos & Bruce S. McEwen ately lends itself to testing via a number of resultant hypotheses. Perhaps more importantly, this approach to depression opens the door a bit more to novel and exciting potential collaborations between previously (mostly) unrelated schools of thought—for example, psychodynamic theory and basic neuroscience. Such a wide-reaching collaboration promises many exciting and paradigm-shifting discoveries. REFERENCE Coplan, J. D., Andrews, M. W., Rosenblum, L. A., Owens, M. J., Friedman, J. M., et al. (1996). Persistent elevations of cerebrospinal fluid concentrations of corticotropin-releasing factor in adult nonhuman primates exposed to early-life stressors: Implications for the pathophysiology of mood and anxiety disorders. Proceedings of the National Academy of Sciences, USA, 93 (4): 1619–1123. Depression: What Is the Role of Physiological Dysregulation and Circadian Disruption? Commentary by Ilia Karatsoreos & Bruce S. McEwen (New York) Keywords: circadian rhythm disruption; glucocorticoids; hippocampus; prefrontal cortex; amygdala; clock genes; mood Douglas Watt and Jaak Panksepp have provided an excellent and wide-ranging review that analyzes what is missing in current theories of the etiology of depression, and they effectively present the notion that depression is a state that is rooted in misuse of an adaptive and normal response—namely, the termination of separation distress. They suggest that multiple neural systems react in order to suppress the distressful feelings associated with separation of the infant from the mother. In adulthood, according to their view, this same system acts to prevent an organism from continuously seeking out a goal that is unreachable and thus prevents a pointless waste of resources. In their view, depression can be thought of as the inappropriate engaging of this system. Thus, improper activation of the neural systems that terminate separation distress, or perhaps an incomplete shutdown of these systems, can lead to a pathological impairment of normal behavior, resulting in the individual withdrawing. Potentially even more important is their view that depression involves the malfunction and desynchronization of multiple interacting neural and neurochemical systems. We propose that separation distress is an example of a more global dysregulation of the organism’s neural and systemic ability to adapt, based on the concept of allostasis and the build-up of allostatic overload. In particular, the dysregulation of circadian rhythms can lead to an allostatic state, resulting in the Ilia Karatsoreos & Bruce S. McEwen: Laboratory of Neuroendocrinology, Rockefeller University, New York, NY, U.S.A. dysfunction of many of the same systems that Watt & Panksepp highlight in their more specific focus on separation distress. Adaptation, allostasis, and allostatic load Adaptation is key to survival. This is true for the lowliest unicellular organism, all the way through the phylogenetic tree to humans. Selective pressures have resulted in organisms that possess exquisitely tuned systems that regulate the functions of life. In some instances, these systems are relatively “simple” biochemical cascades (e.g. the electron transport chain). In others, such systems are a complex orchestration of multiple tissues and organs toward a singular result (e.g., digestion). Regardless, these systems are crucial to survival of the individual and are tuned to meet the particulars of a given environmental niche. Maintaining viability in the face of ever-changing environmental pressures is termed homeostasis. Homeostasis amounts to maintaining the right conditions for various physiological and biochemical systems to operate within optimal parameters (Box 1). The problem of maintaining homeostasis is not a simple one. For instance, many systems are engaged in maintaining body temperature within its optimal range (in humans, this is approximately 36.8°C ± 0.7°C). When body temperature begins to climb, we begin to perspire to increase heat loss from the skin, and blood vessels dilate to increase heat dissipation. When body temperature © 2009 The International Neuropsychoanalysis Society • http://www.neuropsa.org Depression: An Evolutionarily Conserved Mechanism? • Commentaries begins to fall, blood vessels constrict to reduce heat loss, we begin to shiver uncontrollably to generate more heat, and piloerections attempt to reduce heat dissipation from the skin. While apparently simple, and totally automatic, these responses are the result of multiple neural and endocrine (and exocrine!) systems working together for the purpose of a single goal: maintaining the body within its optimal range by a process referred to as allostasis, or “maintaining stability through active intervention” (Boxes 1 and 2). It is the mediators of allostasis (e.g., adrenalin, cortisol, cytokines) that are mobilized to maintain homeostasis, whereas those parameters essential to survival (e.g., body temperature, pH, oxygen tension) are not themselves used for this purpose (Box 1). However, the mediators of allostasis may respond to a sustained external challenge or to internal factors (e.g., chronic anxiety) by becoming elevated into an allostatic state beyond the normal range (Box 2). In an allostatic state, other mediators of allostasis that operate in a nonlinear network (McEwen, 2006) are also forced to operate out of their range (e.g., elevated inflammatory cytokines leading to elevated cortisol and often accompanied by imbalance of sympathetic and parasympathetic activity) (Goldstein et al., 2007; Sloan et al., 2007a, 2007b). While short-term allostasis can help to overcome acute challenges and, in a sense, ensure survival of the organism by forcing systems to function outside normal ranges, long-term allostasis can result in problems resulting from “wear and tear.” In a sense, allostatic states are “borrowing” against a system’s integrity in Allostasis—the active process of maintaining/ re-establishing homeostasis, when one defines homeostasis as those aspects of physiology (pH, oxygen tension, body temperature for homeotherms) that maintain life. Allostasis refers to the ability of the body to produce hormones (like cortisol, adrenalin) and other mediators (e.g., cytokines) that help an animal adapt to a new situation/challenge. In contrast to the mediators (of allostasis) that actively promote adaptation, those features that maintain life (using the restricted definition of homeostasis above) are ones that operate in a narrower range and do not change in order to help us adapt—that is, they are not the mediators of change. Box 1. Allostasis and homeostasis 71 Homeostasis: essential parameters of life Allostasis: active process of maintaining homeostasis Allostatic state: elevated level of mediators (e.g., increased blood pressure, hypercortisolemia) Allostatic load: cumulative change (e.g., body fat; remodeling of neuronal circuitry) Allostatic overload: wear and tear, pathophysiology (e.g., atherosclerosis; neuronal damage and cell loss) Box 2. Terminology the short term to ensure long-term viability, under the (somewhat anthropomorphic) notion that such states of indebtedness will be ameliorated quickly when the environment returns to normal. But when the environment does not cooperate and return to baseline, or the regulatory systems underlying allostasis fail to properly engage, a situation of “allostatic overload” may result, which involves wear and tear on body systems and pathophysiology (e.g., atherosclerosis or obesity and Type 2 diabetes). A lesser degree of cumulative change (e.g., putting on body fat for winter in bears prior to hibernation), referred to as allostatic load (Table 2), has adaptive advantages (McEwen & Wingfield, 2003). Allostatic states occur in the brain in terms of internal neurotransmitter systems and the actions of elevated levels of external factors, such as circulating hormones that affect brain function and structure. Adaptive plasticity of the dendritic and synaptic structure of neurons in hippocampus, amygdala, and prefrontal cortex is one of the consequences of prolonged, uncontrollable stress (McEwen, 2007), and the failure of the reversal of such plasticity and/or increased vulnerability to irreversible damage is an example of allostatic overload. Such consequences are related to states of chronic anxiety, depressed mood, and neural damage—for example, after stroke or seizures, or neurodegenerative diseases. Restated, allostatic states allow for flexibility of physiological systems when environmental pressures require. Allostatic overload can occur if the allostatic state is maintained for too long, forcing mediators normally promoting adaptation to become dysregulated and to operate outside of their optimal ranges for a protracted period of time. This leads us to a major biological factor involved in maintaining balance of allostasis, failure of which leads to allostatic overload—namely, the circadian timing system of the brain and body. 72 Ilia Karatsoreos & Bruce S. McEwen Circadian timing: brain and body clocks Circadian rhythms and allostasis Perhaps the most salient environmental cue for terrestrial organisms is the alternation of light and dark that defines the solar day. The rotation of the earth about its axis allows for a temporal framework of life. It provides a level of predictability that allows organisms to anticipate daily-recurring events and adjust their physiology and behaviors to meet these changes. For instance, daily rhythms in glucocorticoid secretion are tightly controlled by the circadian clock, and in both nocturnal and diurnal animals, plasma corticoids reach their peak just before the onset of daily activity (i.e., just before dusk in a nocturnal species, and just before dawn in a diurnal species). A master circadian clock generates these rhythms, which in mammals is located in the suprachiasmatic nucleus (SCN) of the hypothalamus. This brain region is comprised of neurons that are cell-autonomous oscillators—in other words, individual cells that contain the genetic and molecular machinery to generate circadian rhythms. Importantly, the unique tissue-level organization of these cells into a complex network of different functional components ensures that the SCN clock is able to maintain circadian rhythmicity, even in vitro, without any external inputs. The neural network of the SCN is important to consider, as the molecular “gears” of the clock (clock genes and clock-controlled genes) are present in myriad cell types throughout the brain and body. These “peripheral clocks” lose their synchronous rhythmicity rapidly when decoupled from the SCN, in that while individual cells may remain rhythmic, the tissue itself no longer shows a coherent rhythm as individual oscillators have drifted out of phase with each other. Thus, timing in peripheral clocks seems to be an intrinsic property of these cells, but extrinsic synchrony must be imposed by the master clock in order for coherent tissue-level rhythms to be expressed. We propose that disrupted circadian timing—namely, altered phase-relationships between cellular oscillators throughout the brain and body—leads to an allostatic state and eventually to allostatic overload. Many studies have shown that depression is a condition in which circadian timing is altered (Wirz-Justice, 2006). We go further to propose that circadian disruption is not just a symptom of depression, but is perhaps one of the precipitating causes of depression. Thus, disrupted circadian timing results in a real or perceived threat to homeostasis and can lead to the engagement of protective systems that attempt to remove the threat. Depression may be, as Watt & Panksepp propose in terms of termination of separation distress, one of these defense mechanisms. Anticipation of daily events is a key benefit of having an optimally functioning circadian system. The SCN regulates rhythms in myriad physiological systems through a combination of neural and humoral connections, and sometimes both. Moreover, at the level of the target brain region (or peripheral organ or gland), local clocks also contribute to the exquisite timing of the system. Such a wide reach through neural and diffusible signals places the SCN and the circadian system in a position to regulate multiple systems both homeostatically and also in times of allostasis. In a sense, circadian rhythms may be one of the driving forces to restore normal homeostasis after a period of allostasis. Disruption of circadian rhythms, both environmentally and genetically, can lead to many physiological problems. These effects are felt on a regular basis during transmeridian air travel (i.e. jetlag), and by shift-workers. Symptoms include a general “malaise,” sometimes accompanied by specific physical complaints (such as gastrointestinal problems and weakened immune function), as well as psychological manifestations of poor concentration, attention, and memory. In animal models, numerous studies present compelling data showing that chronic circadian dysfunction can lead to subsyndromal mental and physical characteristics of “bad aging” and even, in some cases, a decrease in lifespan (Costa, 2003; Davidson et al., 2006). Interestingly, it has been difficult to disentangle the effects of circadian disruption from effects of sleep deprivation, though we propose that it is an important distinction and that circadian disruption is the key component in the development of depressive syndrome. Clock-gene expression and glucocorticoids Peripheral oscillators, both within the brain and in the rest of the body, make use of the same suite of clock genes as the central clock in the SCN. The SCN then imposes the proper phasing of these oscillators and actually maintains their rhythmicity, through different pathways—some neural and some humoral. The daily surge of glucocorticoids before waking is an essential synchronizer of circadian rhythms in organs and tissues in the periphery and potentially in the brain. Almost all tissues express circadian clock genes, and the rhythms of these genes are synchronized through humoral signals like corticosterone (Balsalobre, 2002; Balsalobre et al., 2000), as well as direct neural connections (Buijs, van Eden, Goncharuk, & Kalsbeek, 2003; Buijs et al., Depression: An Evolutionarily Conserved Mechanism? • Commentaries 2003), and even through feedback from daily behaviors (e.g., feeding). This means that circadian rhythms in the periphery are imposed by the master brain clock on the rest of the body through numerous mechanisms. Examined in this light, dysfunction in circadian timing has many downstream effects on peripheral organs and eventually on the brain. As the peripheral effects can be as wide ranging as changes to metabolism, obesity, and even in extreme cases decreased life span (Hurd & Ralph, 1998; Turek et al., 2005), it is likely that the effects on the brain can be as great in breadth and as serious in consequences. Interestingly, not all peripheral oscillators reach their peaks and troughs at the same time, but the phase relationship between some of these oscillators has been determined. For instance, while PER2 expression in the dentate gyrus and the basolateral amygdala peak at the same time, the central amygdala peaks later in the day (Segall, Perrin, Walker, Stewart, & Amir, 2006). The significance of such phase relationships of clock genes in different brain regions is unclear, but it is important to note that some of these extra-SCN brain oscillators can be reprogrammed by glucocorticoids, while others, including importantly the SCN, cannot (Lamont, Robinson, Stewart, & Amir, 2005; Segall et al., 2006). This organization may lead to the potential for dysregulation between the SCN clock and other brain (and body) oscillators due to altered glucocorticoid signaling. What does this mean for general physiology and for specific downstream control of some of the neurochemical mediators Watt & Panksepp refer to in their review? Circadian regulation of neurochemical systems can occur through direct mono- or multisynaptic projections from the SCN, through diffusible SCN signals, or through local control by circadian clock-gene expression in those brain regions. The most dense neural projection of the SCN is to the subparaventricular zone, particularly the ventral aspect. This intermediate way-station then sends extensive projections to the locus coeruleus noradrenergic systems, the serotonergic system of the midbrain raphe nuclei, and the rostral tip of the cholinergic periaqueductal grey (PAG), to name only a handful (Kalsbeek et al., 2006; Watts & Swanson, 1987; Watts, Swanson, & Sanchez-Watts, 1987). Interestingly, the PAG also expresses prokineticin-2 receptors, which respond to prokineticin, a peptide that plays a role in transmitting circadian signals from the SCN (Cheng, Leslie, & Zhou, 2006; de Novellis et al., 2007). Whether or not these different brain nuclei have the molecular machinery necessary to be considered peripheral oscillators is unclear. However, the raphe show clear rhythms in tryptophan hydroxylase-2 73 activity that are driven by the daily surge of adrenal corticosteroids (Malek, Sage, Pevet, & Raison, 2007). In short, many of the key brain regions that Watt & Panksepp discuss receive inputs, both neural and humoral, from the circadian clock and would possibly be affected by circadian dysregulation. The issue of reciprocal feedback from these regions to the SCN clock is also an important one, and there are multiple lines of evidence suggesting they communicate back to the SCN (Watts & Swanson, 1987; Watts, Swanson, & Sanchez-Watts, 1987). How such cross talk influences the function of the SCN is unknown, but it clearly sets the stage for multiple mechanisms by which circadian disruption could alter essential emotional processing circuitry and for how limbic and brainstem regions can potentially feedback and influence clock function. While we focus on how circadian dysfunction may be a cause of depression, or at least may contribute to its development by placing the brain and body into an allostatic state, it is important to note that such a hypothesis also provides for potential paths to treatment. Restoring a cohesive circadian system may be a beneficial treatment in some depressed individuals. The most obvious case of a circadian basis and a circadian treatment in a depressive syndrome is seasonal affective disorder (SAD). The primary treatment for SAD is bright-light therapy delivered in the morning just after the individual awakes, in order to mimic a bright sunrise. However, there are many treatments for depressive disorders that incorporate, or at least impinge upon, circadian rhythms. For instance, exercise has shown to improve depressive symptoms in some individuals, and the animal literature clearly shows that exercise can shift the circadian clock (Buxton, Lee, L’Hermite-Baleriaux, Turek, & Van Cauter, 2003). Also, it has been shown that brief (i.e. single night) REM sleep deprivation has the puzzling benefit of being antidepressant (reviewed in Wu & Bunney, 1990). Such a stimulus may serve as a “jump start” to the circadian system, providing a reset switch of sorts to reinitialize and resynchronize rhythms. This, however, is speculative and requires further experimentation. Conclusions In the model proposed by Watt & Panksepp, the system for reducing separation distress is rooted in mesolimbic emotional regulatory regions upstream from homeostatic regulatory processes, but downstream from higher cognitive processes. Watt & Panksepp suggest that engaging of these mood systems may then result in the disruption of the “subordinate” homeostatic 74 systems, as well as of the “supraordinate” cognitive systems. We propose an alternative, although in some ways parallel, pathway in which homeostatic disruptions result in altered mood systems and eventually in depressive symptoms through a disruption of the timing of clock genes in different brain regions and body organs. These effects are mediated, at least in part, through the actions of glucocorticoids. Moreover, we further suggest—as did the late Edward Sachar (Sachar et al., 1973), referring to glucocorticoid secretion—that the state of being “depressed” is in itself stressful and thus amplifies circadian disruptions and leads to allostatic states and allostatic overload, further resisting the restoration of normal allostasis. We would like to expand upon the Watt–Panksepp hypotheses surrounding the mesolimbic structures that regulate separation–distress and other “basal” emotional responses. As separation–distress is inherently “stressful,” then it may be useful to think that mesolimbic systems are acting in a way to protect homeostasis by reducing the distress. Orchestration of such a response requires the recruitment of multiple brain regions, and disruption of this recruitment may lead to dysfunction in the system. We hypothesize that in attempting to operate in a way to mitigate separation distress, perhaps the circadian clocks in these mesolimbic systems are being disrupted and dysregulated by stressful experiences. This leads to dysregulation of normal communication between brain regions and to an allostatic state that eventually causes the buildup of allostatic overload in the brain and eventually in other body organs. Considered in this light, any set of stimuli that pushes an organism into an allostatic state—in this case, separation distress—will cause “wear and tear” even while the brain attempts to maintain homeostasis. Thus, protection of homeostasis is the primary role of such mesolimbic systems. Any perceived threat to homeostasis, be it external or internal in origin, could result in the engagement of such systems. Disruption of circadian timing may serve as one of these triggers and may potentially lead to further circadian disruption and add to the allostatic load. Watt & Panksepp’s review thoughtfully highlights the multifactorial nature of depression. It is this manyfaceted quality of depression that makes it so difficult to treat. Approaching the disorder in a multipronged assault may accomplish more than attempting a unitary solution. Perhaps a truly “holistic” approach, by which we mean a “whole-organism” approach to treating depression, will be more successful—for example, by treatments such as exercise, social engagement, and some form of cognitive behavioral therapy, which help Ilia Karatsoreos & Bruce S. McEwen re-establish coordination of dysregulated neural and body circadian systems. By narrowing down the main neural systems that are dysfunctional, such a holistic approach will be more possible. Accepting the notion that depression may arise, as Watt & Panksepp propose, from a primary dysfunction in midline brain nuclei far more ancient than the cortex, we may be more able to address the problem from a primal “emotional” perspective and perhaps from the perspective of circadian disruption. In addition, we posit that allostatic states through circadian disruption are a key contributor to the dysfunction of such ancient brain systems. These states may occur spontaneously, but they are more likely caused by a “stressor.” Such a stressor can be a salient experience, but it could also be an internal stressor, one generated due to improper or inappropriate functioning of physiological systems, or resulting from anticipatory anxiety or rumination. According to this view, dysfunctions in circadian rhythms may be a central player in such internal stresses, as circadian clocks organize physiology and behavior and ensure that different tissues and organs function optimally and in a coordinate fashion with each other. Whether or not such an important role for circadian rhythms exists at the level of different brain nuclei is still unclear, though there is ample evidence that circadian clock “genes” are present and oscillate in many different brain regions. Most remain under tight control of the central brain clock in the SCN, though some are able to be independently synchronized by external environmental cues arising from circulating glucocorticoids (Balsalobre et al., 2000; Hastings, Reddy, & Maywood, 2003) and even dissociated from the SCN clock. The emotional ramifications of dysfunctional circadian synchronization within the brain, and throughout the body, are largely unknown, though one of the most common, and invasive, symptoms of many depressive syndromes is sleep and rhythm dysregulation. Because such complaints include both insomnia and hypersomnia, “sleep deprivation” cannot be invoked as a global catchall, and it reflects a more fundamental problem with homeostatic circadian control. Thus, dysfunction at the level of circadian rhythms can lead to changes in allostatic states that, if maintained, can have deleterious effects on the mental and physical well-being of the organism in the form of allostatic overload. Much as Watt & Panksepp suggest that basal emotional processing is compromised in depression, we propose that another potential cause of depression is basal physiological dysregulation. Depression: An Evolutionarily Conserved Mechanism? • Commentaries REFERENCES Balsalobre, A. (2002). Clock genes in mammalian peripheral tissues. Cell Tissue Research, 309: 193–199. Balsalobre, A., Brown, S. A., Marcacci, L., Tronche, F., Kellendonk, C., Reichardt, H. M., et al. (2000). Resetting of circadian time in peripheral tissues by glucocorticoid signaling. Science, 289: 2344–2347. Buijs, R. M., La Fleur, S. E., Wortel, J., Van Heyningen, C., Zuiddam, L., Mettenleiter, T. C., et al. (2003). The suprachiasmatic nucleus balances sympathetic and parasympathetic output to peripheral organs through separate preautonomic neurons. Journal of Comparative Neurology, 464: 36–48. Buijs, R. M., van Eden, C. G., Goncharuk, V. D., & Kalsbeek, A. (2003). The biological clock tunes the organs of the body: Timing by hormones and the autonomic nervous system. Journal of Endocrinology, 177: 17–26. Buxton, O. M., Lee, C. W., L’Hermite-Baleriaux, M., Turek, F. W., & Van Cauter, E. (2003). Exercise elicits phase shifts and acute alterations of melatonin that vary with circadian phase. American Journal of Physiology. Regulatory, Integrative and Comparative Physiology, 284: R714–724. Cheng, M. Y., Leslie, F. M., & Zhou, Q. Y. (2006). Expression of prokineticins and their receptors in the adult mouse brain. Journal of Comparative Neurology, 498: 796–809. Costa, G. (2003). Shift work and occupational medicine: An overview. Occupational Medicine (London), 53: 83–88. Davidson, A. J., Sellix, M. T., Daniel, J., Yamazaki, S., Menaker, M., & Block, G. D. (2006). Chronic jet-lag increases mortality in aged mice. Current Biology, 16: R914–916. de Novellis, V., Negri, L., Lattanzi, R., Rossi, F., Palazzo, E., Marabese, I., et al. (2007). The prokineticin receptor agonist Bv8 increases GABA release in the periaqueductal grey and modifies RVM cell activities and thermoceptive reflexes in the rat. European Journal of Neuroscience, 26: 3068–3078. Goldstein, R. S., Bruchfeld, A., Yang, L., Qureshi, A. R., Gallowitsch-Puerta, M., Patel, N. B., et al. (2007). Cholinergic anti-inflammatory pathway activity and High Mobility Group Box-1 (HMGB1) serum levels in patients with rheumatoid arthritis. Molecular Medicine, 13: 210–215. Hastings, M. H., Reddy, A. B., & Maywood, E. S. (2003). A clockwork web: Circadian timing in brain and periphery, in health and disease. Nature Reviews. Neuroscience, 4: 649–661. Hurd, M. W., & Ralph, M. R. (1998). The significance of circadian organization for longevity in the golden hamster. Journal of Biological Rhythms, 13: 430–436. Kalsbeek, A., Palm, I. F., La Fleur, S. E., Scheer, F. A., PerreauLenz, S., Ruiter, M., et al. (2006). SCN outputs and the hypothalamic balance of life. Journal of Biological Rhythms, 21: 458–469. Lamont, E. W., Robinson, B., Stewart, J., & Amir, S. (2005). The central and basolateral nuclei of the amygdala exhibit opposite diurnal rhythms of expression of the clock protein 75 Period2. Proceedings of the National Academy of Sciences, USA, 102: 4180–4184. Malek, Z. S., Sage, D., Pevet, P., & Raison, S. (2007). Daily rhythm of tryptophan hydroxylase-2 messenger ribonucleic acid within raphe neurons is induced by corticoid daily surge and modulated by enhanced locomotor activity. Endocrinology, 148: 5165–5172. McEwen, B. S. (2006). Protective and damaging effects of stress mediators: Central role of the brain. Dialogues in Clinical Neuroscience, 8: 367–381. McEwen, B. S. (2007). Physiology and neurobiology of stress and adaptation: Central role of the brain. Physiological Reviews, 87: 873–904. McEwen, B. S., & Wingfield, J. C. (2003). The concept of allostasis in biology and biomedicine. Hormones and Behavior, 43: 2–15. Sachar, E. J., Hellman, L., Roffwarg, H. P., Halpern, F. S., Fukushima, D. K., & Gallagher, T. F. (1973). Disrupted 24hour patterns of cortisol secretion in psychotic depression. Archives of General Psychiatry, 28: 19–24. Segall, L. A., Perrin, J. S., Walker, C. D., Stewart, J., & Amir, S. (2006). Glucocorticoid rhythms control the rhythm of expression of the clock protein, Period2, in oval nucleus of the bed nucleus of the stria terminalis and central nucleus of the amygdala in rats. Neuroscience, 140: 753–757. Sloan, R. P., McCreath, H., Tracey, K. J., Sidney, S., Liu, K., & Seeman, T. (2007a). RR interval variability is inversely related to inflammatory markers: The CARDIA study. Molecular Medicine, 13: 178–184. Sloan, R. P., Shapiro, P. A., Demeersman, R. E., McKinley, P. S., Tracey, K. J., Slavov, I., et al. (2007b). Aerobic exercise attenuates inducible TNF production in humans. Journal of Applied Physiology, 103: 1007–1011. Turek, F. W., Joshu, C., Kohsaka, A., Lin, E., Ivanova, G., McDearmon, E., et al. (2005). Obesity and metabolic syndrome in circadian clock mutant mice. Science, 308: 1043– 1045. Watts, A. G., & Swanson, L. W. (1987). Efferent projections of the suprachiasmatic nucleus: II. Studies using retrograde transport of fluorescent dyes and simultaneous peptide immunohistochemistry in the rat. Journal of Comparative Neurology, 258: 230–252. Watts, A. G., Swanson, L. W., & Sanchez-Watts, G. (1987). Efferent projections of the suprachiasmatic nucleus: I. Studies using anterograde transport of phaseolus vulgaris leucoagglutinin in the rat. Journal of Comparative Neurology, 258: 204–229. Wirz-Justice, A. (2006). Biological rhythm disturbances in mood disorders. International Clinical Psychopharmacology, 21 (Suppl. 1): S11–15. Wu, J. C., & Bunney, W. E., 1990. The biological basis of an antidepressant response to sleep deprivation and relapse: Review and hypothesis. American Journal of Psychiatry, 147: 14–21. 76 Otto F. Kernberg An Integrated Theory of Depression Commentary by Otto F. Kernberg (New York) Keywords: attachment; guilt; mourning; symbolic structure; abandonment; cognitive framing Douglas Watt and Jaak Panksepp’s elegant, comprehensive, and thought-provoking essay provides not only an up-to-date review of neurobiological systems involved in depression, and a clear and convincing relationship between these mechanisms and those involved in the panic/separation-distress system, but convincing evidence throughout the painstaking analysis of the interaction of the various neurobiological systems involved that strengthens their overall thesis—namely, “that depression is an evolutionarily conserved mechanism in mammalian brains, selected as a shutdown mechanism to terminate protracted separation distress (a prototype mammalian emotional state), which, if sustained, would be dangerous for infant mammals.” Following Bowlby’s (1980) terminology, the separation/distress syndrome is described as a series of psychological responses to social loss on a continuum from protest to despair and, finally, to detachment. The broad spectrum of depressive syndromes results from an exaggerated activation and persistence of this mechanism, particularly the transition phase between protest and despair. A genetic predisposition to an excessive activation of this biological constellation, particularly a genetically determined hypersensitivity combined with excessive negative affect in response to the loss of social support—abandonment by essential sources of physical and psychic security—would reflect the biologically determined vulnerability to depression. This vulnerability becomes reinforced by psychological experiences that further augment the threat of social loss or psychological abandonment and constitute the psychodynamic disposition to depression. In my view, the authors’ thesis fits harmoniously with contemporary psychodynamic thinking regarding depression, particularly with respect to the intrapsychic mechanisms that determine the experience of loss of support not only from external objects, but also as a consequence of pathological internalization of early object relations and their role in dysfunctional regulation of self-esteem and of the confirmation of selfOtto F. Kernberg: Weill Medical College of Cornell University, New York; Personality Disorders Institute, The New York Presbyterian Hospital, Payne Whitney Westchester, White Plains, NY; Columbia University Center for Psychoanalytic Training and Research, New York, U.S.A. regard by the internalized value systems represented by the superego and its ego-ideal component. In exploring this thesis further, there are two reasons for caution. One is the risk posed by the attempt to fit neurobiological systems into the procrustean bed of psychoanalytic theories; the other is the risk of a reductionistic effort to link specific psychic functions to specific neurobiological structures, a danger that Panksepp himself (2008) has warned against, by stressing the epigenetic, in contrast to the genetic, source of organization of psychic functions. In other words, from a general viewpoint, neurobiological functions permit the development of the psychic structure of primary affects and their cognitive contextualization. But further elaboration of affective disposition, which reflects the development of symbolic thinking, depends on this structure formation at the level of symbolic functions and not directly on the underlying neurobiological structures and functions. What follows, I trust, will illustrate my efforts to respect these two reasons for caution. “Mourning and Melancholia” (1917e [1915]) is Freud’s first and fundamental contribution to the psychoanalytic understanding of normal and pathological mourning, the psychopathology of major affective disorders, and the psychodynamic determinants of depression. Freud described fundamental differences between normal and pathological mourning processes. In normal mourning, he proposed, there are no guilt feelings regarding the lost object. The work of mourning culminates in the introjection of the lost—external—object; the narcissistic gratification of being alive contributes to the successful working through of the mourning process. In melancholia, in contrast, the ambivalent relation to the lost object arouses intense guilt feelings and leads to the turning of the unconscious aggressive attack on the external object into an internal attack on a part of the ego identified with the lost object. This attack on the self prevents the narcissistic gratification of being alive and thus intensifies and prolongs the pathological mourning process. Melanie Klein (1940) postulated the splitting, in the mind of the infant, of idealized and persecutory relations with its mother and the generation of guilt and de- © 2009 The International Neuropsychoanalysis Society • http://www.neuropsa.org Depression: An Evolutionarily Conserved Mechanism? • Commentaries pression when integration of these split segments of the ego or self and of the corresponding internal objects would bring about the infant’s awareness that its own aggression was directed against the ideal mother: this is the depressive position. Klein pointed to the normal consolidation of the good internal object and the ego when aggression is not excessive and described how conditions promoting marked dominance of aggressive over libidinal investments prevent such a normal integration. The result is intolerance of ambivalence and lack of assurance of one’s own goodness, creating the predisposition to pathological mourning and melancholia. In contrast to Freud, Klein felt that in normal mourning there was an unconscious process of reinstating the early good internal object and that ambivalence characterized normality as well as pathology. Normal mourning, she proposed, includes unconscious guilt feelings related to the reactivation of the depressive position, together with the activation of reparative urges, gratitude, and longing for the lost good object, but also by the reinstatement of the good internal one. Pathological mourning is characterized by the failure to work through the depressive position due to the sadism and cruelty of the superego, its demands for perfection, and its hatred of instincts. In melancholia, Klein stated, this hatred has destructive consequences for both the internal and the external good objects, leading to a sense of internal emptiness and loss. Because of the attack on and the destruction of the idealized object, a vicious circle of guilt evolves, with an attack on the bad self, not on the internalized object. Suicide would be an unconscious effort to destroy the bad self and rescue the good object. Edward Bibring (1953) described depression as the result of acknowledgment of the loss of an ideal state of self in the context of a severe discrepancy between the ideal self and the real self. This pointed to the affect of depression as an ego potential predating the differentiation of the superego from the ego. In contrast to the Kleinian view that depression necessarily involves superego mechanisms, Bibring stressed the early emergence of the loss of an ideal state of self under conditions of severe failure of the protective environment, thus foreshadowing, I suggest, the catastrophic reaction to prolonged early separation described by Bowlby (1969) in the pathology of attachment. A potential for depressive affect, triggered by the loss of an ideal state of self, may be caused by early maternal failure as well as by a later internal, superego-determined attack on the self. The basic mechanism is a loss of an ideal state of self related to the loss of an ideal object. In my view, the potential for the affective reaction of depres- 77 sion to loss of an ideal ego or self state is compatible with Melanie Klein’s description (1946) of the depressive position when the aggression stemming from the self can be acknowledged, when ambivalence can be tolerated, and when the implicit comparison between a past illusory, split-off, idealized self and the realistic, integrated, present one signals the loss of that ideal self state. Edith Jacobson’s analysis (1971) of normal, neurotic, borderline, and psychotic depression mapped out a comprehensive psychoanalytic theory of the psychopathology of depression. In describing the dyadic, internalized object relations reflected in the affective connection between libidinally invested self and object representations and the corresponding aggressively invested self- and object-representations, she originated what I consider the contemporary object-relations theory model in psychoanalysis. I believe that she accomplished this independently from, although at the same time as, Ronald Fairbairn (1954) in Scotland. Jacobson described the originally fused or undifferentiated units of self- and object-representations in both the libidinal and the aggressive domains of experience and the defensive refusion of libidinal self- and object-representations under conditions of psychotic regression. In psychotic depression, this regressive refusion would affect the aggressively invested self- and object-representations in the ego and would also involve a refusion of the earliest aggressive superego precursors with the later idealized ones. It is the regressive fusion of persecutory and idealized object representations in the superego, she proposed, that brings about the sadistic demand for perfection and the typical cruelty of the superego in melancholia. The attacks of this sadistic superego are directed toward the units of fused aggressive self- and object-representations in the ego. In the process, the frail remnant of the idealized segment of the self that was overwhelmed in the total refusion process occurring in the ego succumbs to the generalized activation of guilt, despair, and self-accusation. As a consequence, the nihilistic, hypochondriacal, and selfdevaluing delusions of psychotic depression evolve. Jacobson proposed that in borderline conditions the boundaries between self- and object-representations in both libidinal and aggressive domains of internalized object relations persist, facilitating the defensive processes of dissociation, depersonalization, and projection that help these patients avoid the sadistic superego attacks characteristic of depression. In neurotic depression, a sufficiently well-integrated self relating to integrated representations of significant others still experiences the attacks of the superego in the form of exaggerated, pathological guilt and self-devaluation, 78 but such a self suffers neither the fusion processes that, in melancholia, transform guilt into a total delusional devaluation of the self-identified with the object nor the primitive defenses characteristic of borderline conditions. In all these psychoanalytic theories of depression except Bibring’s, depressive affect emerges as the connection between the basic experience of loss of an ideal state of self as the result of the loss of an object and the assumption that the loss of the object itself was caused by one’s own aggression. The empirical research of John Bowlby (1969) and his followers on normal attachment and its pathology and their description of the stages of protest, despair, and detachment as a result of catastrophically prolonged separation of the infant from mother provided a fundamental link between the psychoanalytic theory of depression, on the one hand, and the reaction to early separation, on the other. Depressive affect as a basic psychophysiological reaction is triggered by early separation from the mother, if excessive or traumatic, and similarly by an internal sense of loss of the relation between the self and the good internal object derived from the superego’s attack on the self. Early separations provoke depressive affects—a chain reaction of rage, despair, and despondency, and their neurohormonal correlates, in humans as well as in other primates (Suomi, 1995). This link between felt emotion and neurochemical response begins to connect the psychoanalytic theory of internalized object relations with biological research into the genetic and neurobiological determinants of aggressive and depressive affect. Prolonged separation of the infant from its mother powerfully activates the affects of rage first, despair later, and, under extreme circumstances, despondency and reduction of the capacity for object-relatedness. Neurobiological studies in both humans and other mammals have confirmed the corresponding activation of the hypothalamus–pituitary–adrenal (HPA) axis, the resulting hypercortisolemia, and, more recently, the resulting long-range consequences in terms of lowered blood cortisol, excessive stress response to later traumatic stimuli, and reduction in the hippocampal volume, the brain structure most directly involved in explicit affective memory (Panksepp, 1998). The mechanisms by which the HPA stress response activates the basic affective responses of rage, panic, and depression probably are still insufficiently elucidated, although the brain structures mediating rage and pain have been circumscribed more clearly. As Panksepp (1998) points out, the complexity of affect activation demands the simultaneous analysis of the brain structures involved—the generally activating Otto F. Kernberg biogenic amines (particularly, in the case of depression, the serotonergic and noradrenergic systems), but also particular neuropeptides related to specific affect systems that are as yet only partially known—in the context of the analysis of behavioral manifestations and subjective experience. Basic autonomous vegetative functions of affects involve the hypothalamus, the amygdala, and the periaqueductal gray; early emotional experience involves the amygdala, the hippocampus, and the ventral striatum; but mature emotionality, with the development of complex later emotions, involves the prefrontal cortex along with cognitive control of emotions mediated particularly by the orbital, frontal, and cingulated cortex. At this time, psychoanalysis and neurobiology are still too far apart in their focus and methodology to permit any satisfactory integration. I believe, however, that it is reasonable to assume that the psychopathology of depression is determined by a complementary set of etiological factors. These include, on the biological side, an abnormal, genetically determined, and neurochemically controlled activation of the affect of depression under conditions of early separation and object loss, most probably mediated by abnormal biogenic amine systems. Early, severely traumatic circumstances, particularly failed or insecure attachment, further contribute, triggering not only an exaggerated stress response but a disposition to later excessive activation of negative, particularly depressive, affect, mediated by the corresponding hypercortisolemia and, presumably, by the loss of the modulating influence of the hippocampus—affective memory—on deeper affect-activating centers. On the psychological side, depressive affect is activated by loss of the ideal state of self when anxiety is aroused by need, and seeking gratification fails to produce the expected maternal response, and, later, when active rejection by an ideal object is no longer perceived as an external attack but resonates with the internal build-up of archaic superego structures. Here, what is relevant is the build-up of complex affective memory structures that are symbolically manipulated and integrated unconsciously, leading to the concepts of self and the world of internalized object representations. The extraordinary richness of the human neocortical brain structures constitutes the basis for this evolution of psychological structures. In short, on the psychological side, the development of pathological ego and superego structures in response to the aggressive affects activated by a hostile, depriving, abusive environment, with the consequent threat to the normal dominance of libidinally invested internalized object relations in ego and superego over those invested with Depression: An Evolutionarily Conserved Mechanism? • Commentaries aggression, determines the potential for pathological depression. The work of Melanie Klein and Edith Jacobson has enriched the analysis of normal and pathological depressive reactions by delineating the role of the primitive defensive operations of splitting, idealization, projection and introjection, projective identification, denial, omnipotence, and devaluation. Both authors described a vicious cycle of early aggressive response to frustration, the infant’s tendency to project its own aggression onto the frustrating object, and the re-internalization of that aggressively perceived object into the basic layer of the early superego in the form of persecutory internalized object representations. A constitutional disposition to excessive depressive affect may contribute significantly to the intensity of depressive response to superego-mediated attacks on the self. Perhaps the major theoretical formulation initiated in “Mourning and Melancholia,” transcending the subject of depression, is the concept of identification. This concept is relevant for the understanding of the relation between affect activation and the internalization of object relations, the consistent contextualization of affects in relation to self- and object-representation. Here, I believe, the work of Fairbairn (1954) and of Jacobson (1964), who arrived independently at remarkably similar conclusions regarding this essential mechanism, provides major contributions to Freud’s original observations in “Mourning and Melancholia.” Briefly summarizing how I conceptualize the contemporary view of identification, I would stress as a central concept the definition of identification as the internalization of a representation of the object interacting with a representation of the self under the impact of an intense affect. The more intense the affect, the more significant the object relation; the more significant the object relation, the more intense the affect state. This theory of identification overlaps with the theory of the centrality of depressive affect in normal and pathological mourning: the more intense the predisposition to react with depressive affect to separation or loss, the more powerful the identification with an abandoning object and with an abandoned self. The more profound the experience of rejection or loss of a good external or internal object, the greater the potential for depression. Returning once more to the determinants of normal and pathological depression, we can now conceive of a genetic disposition to pathological activation of aggressive affects that will be integrated into the aggressive drive in the form of a structured sense of self or object as victim or persecutor, self and object bound by 79 affects of fear, rage, and despair. The result is proneness to the excessive activation of rage, anxiety, and despair under conditions of frustration and object loss. It is important to keep in mind that the stress response mediated by the activation of the HPA axis includes intensive rage and panic as well as the disposition to depression. In fact, the combination of an intense rage response and panic may be the origin of the later structured internalized relation between a rageful self and a frustrating, sadistic object. The projection of rage onto the object intensifies the fear and wish to destroy the persecutory object, thus transforming rage into hatred, a complex affect that will later constitute the core affect of the aggressive drive. Here, I refer to my theory, spelled out in earlier work (Kernberg, 1992), that the libidinal and aggressive drives are hierarchically superordinate integrations of the libidinal and aggressive affects, respectively, and that affects constitute the primary motivational systems first and, later, the signals of the drives in terms of the affective quality of reactivated internalized object relations. I believe that this theory does justice to the convincing clinical implication of Freud’s dual-drive theory and to the emerging knowledge of the fundamental motivational functions of affects in neurobiology. Temperament as a genetically determined, constitutionally given disposition to a certain intensity, rhythm, and threshold of affect activation links the innate disposition to aggression with the traumatic impact of early separation, trauma, and frustration on the internalization of object relations. By far the most important determinant of the internalized object relations expressed in the tripartite psychic structure is the earliest mother–infant interaction. Severe frustration and trauma in this early interaction, with consequent excessive activation of aggressive and depressive affect, would then give rise to the structural consolidation of a psychic apparatus with a “hypertrophic” superego and the predisposition to react with depression to relatively minor triggering factors from the environment. An extremely severe inborn disposition to depressive affect would exacerbate the development of such pathological structures. At the other extreme, even without any genetic disposition, the structural consequences of severe frustration and trauma, with a consequent activation of excessive aggression, would contribute to the build-up of a severely pathological, though well-integrated, superego structure predisposing to depression in later life. A depressive–masochistic personality structure predisposes to characterological depression and to a loss of normal self-esteem, determined by the superego, under conditions of multiple sources of unconscious 80 guilt. This is the counterpart to the activation of anxiety as nonspecific manifestation of danger derived from unconscious intrapsychic conflict (Kernberg, 1992). Anxiety, in fact, also may function as a warning of the impending danger of unconscious guilt and object loss leading to depression. Once depressive affect is structured into an internalized object-relations frame that reflects the relationship between a guilty, internally abandoned self and an idealized, abandoning or critical object, it would seem reasonable to hypothesize that any critique, disqualification, or abandonment in everyday life would immediately activate depressive affect as part of such an object relation. And vice versa: when, given such a structured internalized object relation, depressive affect is triggered or accentuated by a constitutional disposition to pathological affect activation, the entire constellation of intensive guilt feelings, self-devaluations, and the experience of abandonment will be activated as well. The major emphasis in this discussion has been on the attempt to integrate the psychoanalytic approach to depression with evolving knowledge regarding the neurobiology of depression. For neurobiology, contemporary psychoanalytic theory offers an instrumental approach to higher symbolic functions that cannot be reduced to neocortical circuitry. For psychoanalysis, neurobiological progress offers the challenge of reexamining older theories of drives, the impact of neurobiological structures on stress and trauma, and the mutual relations of unconscious interpsychic conflict and the genetic and temperamental disposition to depressive affect as causes of depression. This completes my outline of the organization of the psychodynamic features that contribute to the development both of normal mourning and grief reactions on the one hand and of clinical depression—from characterologically determined chronic dysthymic reaction to major affective illness—on the other. From a clinical psychiatric viewpoint, it is possible to differentiate the milder, chronic dysthymic reactions from major depression because of the lesser degree of depressive symptoms in the former and the stronger presence in those cases of particular environmental triggers and specific characterological predispositions, in contrast to the greater degree of clinical severity, the prominence of neurovegative symptoms, and the alteration of biological rhythms evident in major depressive disorder. Genetic factors predominate in major depression, while intrapsychic and environmental factors predominate in chronic dsythymic disorders. In general, psychopharmacological (and electroconvulsive) treatments are the treatment of choice in the major depressions, while Otto F. Kernberg characterologically determined depression responds optimally to psychotherapeutic treatments, often combined with medication. Finally, from a general viewpoint of the interaction of biological and intrapsychic predisposing features, it is of great interest that the psychological impact of a grave loss of social support may trigger the entire constellation of the neurobiology of depression, while, equally, a strong genetic disposition to depression reflected in the activation of the corresponding neurobiological systems may trigger the entire complexity of psychodynamically structured, psychological symptomatology of depression, including severe and unrealistic self-attack and self-devaluation. The study of the intimate mechanisms of these interactions between symbolic thinking and genetic disposition, and between genetic and epigenetic structures, is a major task ahead, and Watt & Panksepp have advanced fundamentally in this direction. REFERENCES Bibring, E. (1953). The mechanism of expression. In: Affective Disorders, ed. P. Greenacre. New York: International Universities Press, pp. 13–48. Bowlby, J. (1969). Attachment and Loss, Vol. 1: Attachment. New York: Basic Books. Bowlby, J. (1980). Attachment and Loss, Vol. 3: Sadness and Depression. New York: Basic Books. Fairbairn, R. (1954). An Object Relations Theory of the Personality. New York: Psychoanalytic Quarterly Press. Freud, S. (1917e [1915]). Mourning and melancholia. Standard Edition, 14: 237–258. Jacobson, E. (1964). The Self and the Object World. New York: International Universities Press. Jacobson, E. (1971). Depression. New York: International Universities Press. Kernberg, O. (1992). Aggression in Personality Disorders and Perversion. New Haven, CT: Yale University Press. Klein, M. (1940). Mourning and its relation to manic-depressive states. In: Contributions to Psychoanalysis, 1921–1945. London: Hogarth Press, 1948, pp. 311–338. Klein, M. (1946). Notes on some schizoid mechanisms. International Journal of Psycho-Analysis, 27: 99–110. Panksepp, J. (1998). Affective Neuroscience. New York: Oxford University Press. Panksepp, J. (2008). Commentary on “Is There a Drive to Love?” Seeking the epigenesis of romantic love. Neuropsychoanalysis, 10 (2): 166–169. Suomi, S. J. (1995). The influence of attachment theory on ethological studies of biobehavioral development in nonhuman primates. In: Attachment Theory: Social, Developmental and Clinical Perspectives, ed. S. Goldberg, R. Muir, & J. Kerr. Hillsdale, NJ: Analytic Press. Depression: An Evolutionarily Conserved Mechanism? • Commentaries 81 An Evolutionarily Conserved Depression Mechanism: Are There Implications for Psychotherapy? Commentary by Harold W. Koenigsberg (New York) Keywords: depression; separation distress; psychotherapy; epigenetics; separation-distress shutdown; evolutionarily conserved mechanism Increasingly sophisticated research, accessing state-ofthe-art neurochemical, neuroendocrine, pharmacologic, molecular genetic, and neuroimaging methods has generated a densely populated landscape of biological correlates of depression. Douglas Watt and Jaak Panksepp masterfully survey this rich and complex landscape and observe that what is sorely lacking in our understanding of depression is a model that integrates the disparate biological findings and links them to the core psychological and behavioral features of depression. They propose that such a model of depression may be derived from an examination of the separationdistress behavioral system, common to so many animal species. A separation-distress motivational system that, in the event the young animal is separated from its caregiver, prompts the animal to send out a distress signal and to actively seek out the caregiver is adaptive and evolutionarily conserved. However, continued activation of this distress system after an extended period of time, when there is little likelihood for reuniting with the caregiver, could expose the young animal to predators and exhaustion. Thus a mechanism for terminating the separation-distress response is also necessary and would be evolutionarily conserved as well. Watt & Panksepp propose that this separation-distress shutdown system, however, is vulnerable to hypertrophy and excessive activation, providing a biological substrate for depression. With ongoing phylogenetic development the separation-distress shutdown (SDS) system likely came to serve additional but related functions—for example, the inhibition of protest to other types of losses such as losses of social attachment, social status, comfort, other rewards, and possibly even other disruptions to homeostasis such as those caused by physical illness or chronic pain. Thus the system could be triggered by the range of stressors known to precipitate depression. Once activated, it would close down seeking-behaviors Harold W. Koenigsberg: Mount Sinai School of Medicine, New York; James J. Peters VA Medical Center, Bronx, NY, U.S.A. and initiate an energy-saving mode in the organism, which would give rise to many of the biological and behavioral stigmata of depression. A low threshold for activation of the SDS system or a failure of its homeostatic regulation could account for various forms of clinical depression. Factors likely to influence the threshold for activation and the homeostatic properties of the SDS system include inheritance, early rearing experience, and early, late, or cumulative exposure to trauma, neglect, or stress. While it may be too soon to conclude that dysregulation of the SDS system is sufficient to explain all or most forms of depression, the model is of considerable appeal and has important heuristic value. By identifying an evolutionarily conserved behavioral system implicated in depression, this conceptualization offers the possibility that studying the neurochemical and functional neuroanatomic pathways activated during separation-distress shutdown can direct us to the neural systems most relevant to human depression. This could help us to understand how the multiple biological concomitants of depression are interconnected. Such an integrative model could aid in drug discovery. Beyond this, however, understanding depression in terms of an evolutionarily conserved behavioral system provides the potential for linking the neurobiologic features of depression with the characteristic behavioral correlates of the disorder. This is crucial because depression is so intimately connected to human behavior and the psychology that organizes and regulates that behavior. Changes in interpersonal behavior patterns can be both the precipitants and the sequelae of depressions. Psychotherapy is a mainstay in the treatment of depression; it has been shown to be as effective as medication, and the combination of psychotherapy with pharmacotherapy is more effective than either alone. Enhancing the efficacy of psychotherapy for treating depression could therefore be of enormous benefit. Thus it is relevant to ask whether a biobehavioral model such as the one proposed by Watt & Panksepp could contribute in any way to refining psychotherapeutic approaches to depression. © 2009 The International Neuropsychoanalysis Society • http://www.neuropsa.org 82 Implications for psychotherapy A first test of the relevance of the SDS model for psychotherapy is whether psychotherapeutic approaches known to be effective for depression are consistent with the model. This is in fact the case. Many effective individual psychotherapies for depression devote considerable energy to the focus on relevant losses (separations)—losses of real objects, of internalized objects, of aspirational goals, or those reflected in unmet demands (Arieti & Bemporad, 1978). For example, the Interpersonal Psychotherapy of Depression (IPT: Klerman, Weissman, Rounsaville, & Chevron, 1984), a well-studied and highly effective treatment for depression (Klerman & Weissmann, 1987; Weissman, 2007), stands on a theoretical foundation derived in part from the work of John Bowlby on attachment and separation. Two of the four basic paradigms of depression that IPT targets involve losses: unresolved grief and role transitions. It treats depression by helping the patient to consciously process the often conflictual conscious and unconscious feelings engendered by significant losses and by encouraging the patient to find new satisfying interpersonal substitutes for them. Psychodynamic and psychoanalytic treatments for depression, though less operationally described as IPT, also typically address conscious and unconscious conflicts related to losses and separations, taking into account relevant aggressive impulses. Can the SDS model suggest novel psychotherapeutic strategies for depression? The model suggests that depression involves the hyperactivation of a shutdown system that, while turning off the separation-distress response, is ultimately maladaptive by encouraging “giving-up” attitudes and behaviors. This would imply that diminishing the need to shut down the separationdistress system might actually release key behavioral and biological systems from operating in the depressive mode. Could a treatment approach be devised that would enable a patient to disengage the shutdown system? If this were possible, the model suggests that the patient might be able to reactivate motivational and seeking systems that had been shut down. This reactivation could temporarily restore motivation and future-orientation and could even decrease the fatigue and sickness feelings induced by proinflammatory cytokines associated with the shutdown state. This would give the patient the wherewithal, now with the therapist present to help and guide, to bring to bear native adaptive and problem-solving capacities that had been shut down, providing the patient resources to overcome the distressing losses and develop new replacement sources of gratification. How could one Harold W. Koenigsberg intervene psychotherapeutically to diminish activation of the shutdown system to achieve these potential dividends? Perhaps an effective strategy would be to reinforce the sense of agency in the patient by encouraging thinking and behavior that could adaptively substitute for the desperate seeking for the lost object that characterizes the separation-distress reaction. For example, one might encourage the patient to take on, as his or her own, a cause important to a deceased object (e.g. a favorite charity or special interest) or to actively plan a memorial for that person. As the patient functioned in this way, there might be a decreased activation of the separation-distress shutdown process. This line of thought is highly speculative, but it is presented here in the interest of modeling a way to connect psychotherapeutic practice with predictions from the separationdistress shutdown conceptualization of depression. Another implication of the SDS model relates to the timing of interventions. Since the model posits that the shutdown does not occur at the time of loss but, rather, somewhat later, after a period of seeking for the lost object, this suggests that early interventions soon after the loss might have a primary preventative effect. Providing support immediately after the loss could permit the individual to engage his or her own coping mechanisms before the depressive shutdown occurred. While these ideas require further elaboration to develop them into operational treatment approaches, they illustrate concretely how the SDS model might influence psychotherapeutic strategy. Further examination of the ethological data on separation distress and its shutdown should yield additional ideas relevant to the psychotherapy of depression, which could then be subject to test. A paradigm shift for psychopharmacology Another approach to the enhancement of psychotherapy for depression that could derive from a biobehavioral model would be to employ medication to facilitate the process of psychotherapy itself. Can the effectiveness of psychotherapy be enhanced by a medication administered during the therapy session? In the area of anxiety disorders, recent work has shown that the NMDA partial agonist, D-cycloserine (DCS), which improves extinction learning in animal models, enhances behavior therapy for a number of anxiety disorders including social anxiety, acrophobia, specific phobia, and panic disorder (Norberg, Krystal, & Tolin, 2008). These observations signal a paradigm shift in pharmacotherapy—that is, the use of medication not to directly influence symptoms but, rather, to enhance Depression: An Evolutionarily Conserved Mechanism? • Commentaries the psychotherapeutic process itself. Such an approach could leverage the power of psychotherapy and do this at a rather low cost in terms of medication side effects, because medication exposure would be for limited time periods. To date we do not know whether there are pharmacological agents that might facilitate the psychotherapy of depression or could influence modalities of psychotherapy other than behavior therapy. The separation-distress model suggests that oxytocin, a neuropeptide that modulates the separation-distress response in animals, might play such a role. Watt & Panksepp point out that oxytocin may have some direct antidepressant properties, and they cite work demonstrating that its three-amino-acid tail has antidepressant effects. Apart from its potential direct antidepressant effects, however, oxytocin has been shown to influence attachment-related behaviors in humans. It is a mediator of prosocial behavior in many species including primates. In humans, it has been shown to enhance the ability to accurately read the emotions of others by looking at their eyes (Domes, Heinrichs, Michel, Berger, & Herpertz, 2007), to enhance the recall of positive social percepts (Guastella, Mitchell, & Mathews, 2008), and to increase trust in social interactions (Baumgartner, Heinrichs, Vonlanthen, Fischbacher, & Fehr, 2008). In a direct study of the effect of oxytocin upon two-person interactions, couples were observed as they discussed a previously selected conflict-laden topic. Those who had received intranasal oxytocin 40 minutes before the discussion showed a higher ratio of positive social behavior (e.g., emotional self-disclosure, agreement, curiosity/care, eye contact) to negative behavior (e.g., defensiveness, belligerence, contempt) than did those who had received placebo (Ditzen et al., 2008). This work raises the possibility that oxytocin could facilitate psychotherapy. It might enable a withdrawn depressed patient to develop a positive attachment to the therapist earlier in the course of therapy than might otherwise be the case. This would lead to an enhanced therapeutic alliance, a nonspecific factor known to facilitate psychotherapy. In addition, however, oxytocin enhancement could have a specific effect by fostering the more rapid development of a positive interpersonal experience that would lessen the intensity of the separation-distress state underlying the depression. This in turn could lead to a downregulation of the separation-distress shut-off system and allow the patient to mobilize to re-engage with others and to call into play adaptive coping strategies sooner. In some depressed individuals, however, responsiveness to oxytocin itself may be decreased. A study of a group of young men who had sustained parental 83 separation before the age of 13 years showed a reduced sensitivity to intranasal oxytocin as measured by cortisol response, in comparison with young men without early parental separation (Meinlschmidt & Heim, 2007). Thus depressed patients with histories of early separations may not show a direct response to oxytocin. For oxytocin to aid the psychotherapy for such individuals, it may first be necessary to restore function of the central oxytocin system. This observation illustrates that an assessment of the interpersonal and developmental history of the patient can be critical not only in order to formulate a psychotherapeutic strategy, but also to plan a psychopharmacological approach. Adverse early experience, epigenetics, and treatment implications The susceptibility of the separation-distress shutdown system to dysregulation in a given individual may derive from a genetic predisposition, early-life exposure to trauma or neglect, later exposure to significant stress, or the interaction of these factors (for an example of how these factors interact in depression, see Caspi et al., 2003). One way in which early experience can set the stage for later depression is epigenetically—that is, through alteration of the expression of the genome. Adult rats, who as pups received low levels of maternal licking and grooming (LG) in the first week of life, demonstrated exaggerated fear-conditioning under stress, compared to adult rats who received high LG as pups. This effect is mediated by differential effects of cortisone on hippocampal plasticity, resulting from differences in the expression of glucocorticoid receptors (GRs) and mineralocorticoid receptors (MRs) between high- and low-LG-raised animals (Champagne et al., 2008). These differences appear to be epigenetic, arising from differences in gene expression as a consequence of differences in DNA methylation and acetylation at the hippocampal GR promoter site (Weaver, Meaney, & Szyf, 2006). In particular, a transcription-factor binding site on the GR promoter is rendered less active in the low-LGraised animals than in the high-LG-raised animals because the DNA is methylated and hypoacetylated in the low-LG rats. Thus differences in maternal care in the first week of life alter the conformation of the animal’s DNA, leading to differences in the expression of GRs on hippocampal neurons in the adult, ultimately predisposing to differences in vulnerability to stress. Recent studies have extended these findings to the brains of human suicide victims, showing hyper- 84 methylation of DNA in subjects with histories of early childhood abuse or neglect (McGowan et al., 2008). This line of research is of striking importance because it demonstrates how early experience may be stored and transduced into biological (neuronal) changes in the adult, predisposing to psychopathological reactions. Particularly intriguing, however, is the possibility that these stored effects of adverse early-life experiences may be modified in the adult by altering DNA methylation or acetylation. The treatment of adult offspring of low-LG mothers with intracerebroventricular infusions of the histone deacetylase inhibitor trichostatin-A (TSA) reversed the effect of the low-LG earlylife experience (Weaver, Meaney, & Szyf, 2006). The TSA-treated low-LG animals showed a normalization of performance on the open-field test, a measure of anxiety in a stressful situation, compared to controltreated low-LG animals. This raises the question of whether pharmacological interventions could specifically reverse the effects of epigenetically encoded detrimental early-life experiences and enhance resilience to depression. However, epigenetic therapy based on DNA remodeling may never achieve the specificity of psychotherapy, in which specific memories are recalled and recontextualized. Moreover, substances that alter DNA methylation or acetylation are likely to have widespread effects at many loci, possibly giving rise to unwanted consequences. Thus, it remains to be seen whether pharmacologic interventions to alter epigenetic effects will have clinical application. Nevertheless, research in this area is worthy of pursuit. Perhaps a combination of re-accessing of memories by means of psychotherapy and affecting their reconsolidation with medication will combine the specificity of psychotherapy with the mutative power of pharmacologic intervention. Watt & Panksepp have provided us with a sophisticated review of the current state of knowledge of the biology of depression and have proposed a model linking it to an evolutionarily conserved behavioral system that terminates the separation-distress reaction. This is a powerful model with considerable heuristic value. It has the potential to direct us to new pharamacological treatments for depression, to help us to better understand the relationship of depression to losses and stress, to help better understand the interaction of genetic and environmental factors in determining vulnerability and resilience to depression, and possibly to inform the development of new psychotherapeutic strategies as well. This model, whether ultimately confirmed or disconfirmed, is likely to guide new and Harold W. Koenigsberg productive directions for integrative research on the causes and treatment of depression. REFERENCES Arieti, S., & Bemporad, J. (1978). Severe and Mild Depression: A Psychotherapeutic Approach. New York: Basic Books. Baumgartner, T., Heinrichs, M., Vonlanthen, A., Fischbacher, U., & Fehr, E. (2008). Oxytocin shapes the neural circuitry of trust and trust adaptation in humans. Neuron, 58: 639–650. Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., et al. (2003). Influence of life stress on depression: Moderation by a polymorphism in the 5-HTT gene. Science, 301: 386–389. Champagne, D. L., Bagot, R. C., van Hasselt, F., Ramakers, G., Meaney, M. J., de Kloet, E. R., et al. (2008). Maternal care and hippocampal plasticity: Evidence for experiencedependent structural plasticity, altered synaptic functioning, and differential responsiveness to glucocorticoids and stress. Journal of Neuroscience, 28: 6037–6045. Ditzen, B., Schaer, M., Gabriel, B., Bodenmann, G., Ehlert, U., & Heinrichs, M. (2008). Intranasal oxytocin increases positive communication and reduces cortisol levels during couple conflict. Biological Psychiatry, 65: 728–731. Domes, G., Heinrichs, M., Michel, A., Berger, C., & Herpertz, S. C. (2007). Oxytocin improves “mind-reading” in humans. Biological Psychiatry, 61: 731–733. Guastella, A. J., Mitchell, P. B., & Mathews, F. (2008). Oxytocin enhances the encoding of positive social memories in humans. Biological Psychiatry, 64: 256–258. Klerman, G. L., & Weissmann, M. M. (1987). Interpersonal psychotherapy (IPT) and drugs in the treatment of depression. Pharmacopsychiatry, 20: 3–7. Klerman, G. L., Weissman, M. M., Rounsaville, B .J. & Chevron, E. S. (1984). Interpersonal Psychotherapy of Depression. New York: Basic Books. McGowan, P. O., Sasaki, A., Huang, T. C. T., Unterberger, A., Suderman, M., Ernst, C., et al. (2008). Promoter-wide hypermethylation of the ribosomal RNA gene promoter in the suicide brain. PLoS ONE, 3: e2085. Meinlschmidt, G., & Heim, C. (2007). Sensitivity to intranasal oxytocin in adult men with early parental separation. Biological Psychiatry, 61: 1109–1111. Norberg, M. M., Krystal, J. H. & Tolin, D. F. (2008). A metaanalysis of D-cycloserine and the facilitation of fear extinction and exposure therapy. Biological Psychiatry, 63: 1118–1126. Weaver, I. C., Meaney, M. J. & Szyf, M. (2006). Maternal care effects on the hippocampal transcriptome and anxiety-mediated behaviors in the offspring that are reversible in adulthood. Proceedings of the National Academy of Sciences, USA, 103: 3480–3485. Weissman, M. M. (2007). Recent non-medication trials of interpersonal psychotherapy for depression. International Journal of Neuropsychopharmacology, 10: 117–122. Depression: An Evolutionarily Conserved Mechanism? • Commentaries 85 Depression and the Brain’s Input: Intrinsic Brain Activity and Difference-based Coding Commentary by Georg Northoff (Magdeburg, Germany) Keywords: depression; coding; glutamate; imaging; seeking In their impressive target paper, Douglas Watt and Jaak Panksepp aim to consider the “psychological properties of the brain and its adaptive mandates” in the pathophysiology of depression. They argue that depression is “fundamentally connected to social attachment,” the neurobiology of which they consider to be related to the separation-distress mechanism. In this commentary I do not want to go into the neurochemical and neuroanatomical details of their impressive hypothesis but will briefly focus on one particular aspect of the brain’s input. I want to raise the question for the kind of coding mechanisms that must be presupposed by the brain in order to link its intrinsic activity and the brain’s input to the stimulus-induced activity. In doing so, I will briefly indicate how an abnormally altered brain’s input may yield the kind of changes observed in depression. How is it possible that the brain’s internal separation-distress mechanisms can impact stimulus-induced activity? This occurs only if the neurobiological underpinnings of the brain’s internal separation-distress mechanisms modulate and impact stimulus-induced activity in an abnormal way. In these circumstances, withdrawal from the social environment, together with the consecutive increased self-focus that is one of the hallmarks of depression, are generated. Hence, we must presuppose that the pathologically altered separation-distress system apparently decreases stimulusinduced neural-activity changes from the environment. The question I want to raise here concerns the kind of neural coding that must be presupposed in order for the brain (and its input) to have such disastrous effects on stimulus-induced activity. How must the brain code its neural-activity changes in order, first, to link its own input to the intrinsic activity and, second, to link the stimulus-induced activity to the environment? Watt & Panksepp seem to remain unclear about the exact mechanisms of the interaction between the organism’s separation-distress disposition and the external stimulus’s salience attribution. How the organism’s Georg Northoff: Department of Psychiatry, University of Magdeburg, Magdeburg, Germany. internal separation-distress disposition and the external factors interact, and are linked together, remains unclear. There must be some kind of common currency, or coding, since otherwise interaction and linkage remain impossible. What, then, is the common currency between intrinsic separation-distress disposition and the degree of salience of external stimulus? Is there a special instance for coordinating and translating intrinsic separation-distress disposition and the salience of the external stimulus? Or are both coded in a common currency that makes the assumption of some kind of additional coordination and translation superfluous? It is at this point that the concept of relational coding as difference-based can be introduced. As in the case of mental and social-context stimuli (described above), the external stimulus is coded in relation to the organism’s intrinsic stimuli—that is, the activity and stimuli reflecting the organism’s separation-distress disposition. What the brain’s intrinsic activity (and hence its separation-distress disposition) provides is the neuronal “context” for how the brain can encounter (i.e., get excited by, engage in, and approach) external stimuli—that is, potentially rewarding stimuli, and their triggering of possible neuronal activity changes. How can the brain’s intrinsic activity and the neuralactivity changes related to the stimulus be linked and coordinated with each other? Rather than assuming some additional coordination or translation, I claim that such linkage is made possible by coding the difference between both: the gap between the level of the brain’s intrinsic seeking disposition, and the potential neuronal activity changes related to the degree of salience of the stimulus. Hence, it is the difference between the brain’s intrinsic resting-state activity level and the stimulus-induced activity changes that is coded in the brain’s actual activity level. Thus, the degree of possible neuronal activity changes that the stimulus can induce is set from the very beginning in relation to the brain’s actual intrinsic activity level—the latter serves as reference, standard, or measure for the former. Such inclusion of the brain’s intrinsic level of activity, as a neuronal context in difference-based coding, makes the question for possible coordination and integration superfluous. The question need not even be © 2009 The International Neuropsychoanalysis Society • http://www.neuropsa.org 86 raised, because there is coordination and integration from the very beginning of the process. Thus, by virtue of difference-based coding, brain and stimulus no longer need to be coordinated and linked, because the neural-activity changes themselves mirror the relation between the brain’s intrinsic activity level and possible stimulus-induced neuronal activity changes. If we wish to understand the pathophysiological mechanisms of depression, we must reveal the kind of neural coding that links the brain’s intrinsic activity to the stimulus-induced activity. My hypothesis is that the intrinsic brain activity is abnormally high, which in turn may make it impossible for the external stimulus to induce any change in the brain’s intrinsic activity level. Accordingly, the difference between the brain’s intrinsic activity and the potential stimulus-induced activity is shifted to one extreme—resulting in an imbalance—with the predominant impact being the former (intrinsic activity) at the expense of the latter (events in the external world). If this holds true, one would expect that external stimuli can no longer induce changes in neural activity in those regions that show high resting-state activity, such as the cortical midline structures that are also involved in constituting self-relatedness. This is at least indirectly supported empirically by imaging studies from others (Grecius, Krasnow, Reiss, & Menon, 2003; Grimm et el., 2003, 2009, in press; Mayberg, 2003; Mayberg et al., 1999.) and from our group, showing (1) an abnormally high resting-state activity in subcortical and cortical midline structures in depression and (2) that this variable no longer parametrically modulates stimulus-induced activity from either external emotions or self-relatedness in any fine-grained way. Watt & Panksepp’s proposal may well be a testable hypothesis that can be investigated both in animals and Georg Northoff in humans with depression. This may help to explain why, metaphorically speaking, relational coding seems to mute into self-referential coding in depression, with circulating and ruminating affects and cognitions that refer almost exclusively to the self rather than to the environment, resulting in what can be described as increased self-focus. REFERENCES Greicius, M. D., Krasnow, B., Reiss, A.L., & Menon, V. (2003). Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences, USA, 100 (1): 253–258. Grimm, S., Beck, J., Schuepbach, D., Hell, D., Boesiger P., Bermpohl, F., et al. (2008). Imbalance between left and right dorsolateral prefrontal cortex in major depression is linked to negative emotional judgment: An fMRI study in severe major depressive disorder. Biological Psychiatry, 63: 369–376. Grimm, S., Boeker, H., Beck, J., Bermpohl, F., Heinzel, A., Boesiger, P., et al. (2009). Abnormal functional deactivation in the default-mode network in depression. Neuropsychopharmacology, 34: 932–943. Grimm, S., Ernst, J., Boesiger, P., Schuepbach, D., Hell, D., Boeker, H., et al. (in press). Increased self-focus in major depressive disorder is related to neural abnormalities in subcortical–cortical midline structures. Human Brain Mapping. Mayberg, H. S. (2003). Modulating dysfunctional limbic–cortical circuits in depression: Towards development of brainbased algorithms for diagnosis and optimised treatment. British Medical Bulletin, 65: 193–207. Mayberg, H. S., Liotti, M., Brannan, S. K., McGinnis, S., Mahurin, R. K, Jerabek, P. A., et al. (1999). Reciprocal limbic-cortical function and negative mood: Converging PET findings in depression and normal sadness. American Journal of Psychiatry, 156: 675–682. Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries 87 Response to Commentaries Douglas F. Watt & Jaak Panksepp Keywords: depression; neuropeptides; HPA axis; opioids; cytokines Response to Sidney J. Blatt & Patrick Luyten’s commentary The challenging heterogeneity of depression Sydney Blatt and Patrick Luyten provide a useful overview of their insightful parsing of psychologically distinct forms of depression. Since our target article well exceeded recommended word limits, we could not mitigate our neglect of the psychological aspects of depression, in preference for the more bottom-up neuroscience views. Additionally, we felt that tackling the heterogeneity of depression (one of its most difficult and poorly understood dimensions from a neurobiological point of view) would have created an untenable project, and we fully anticipated being challenged around this neglect. We readily acknowledge that such heterogeneity is one of the most serious challenges not simply to our theory, but to any theory of depression—that is, how to accommodate the frustrating clinical heterogeneity of depression (indeed, it is an issue for virtually every category in DSM-IV, and perhaps for reasons that the authors nicely outline in their commentary: that DSM-IV strives to be totally atheoretical, to a fault.) Rather than trying to squeeze insufficient psychological analyses into an already huge manuscript, we thought that it might be ideal to allow our psychoanalytically oriented commentators to share their psychodynamic perspectives without much hindrance from our own psychological coverage. Blatt & Luyten did that superbly, and we very much appreciate their largely top-down perspectives where one must address the “cognitive structural organization of meaning systems.” Although we largely agree with their analysis, an interesting question concerns the attachment history of individuals with the so-called introjective depressions. This typology of “introjective versus anaclitic” depression appears to clearly imply that separation distress in its various forms has nothing to do with the genesis of the introjective depressive style, and we wonder Acknowledgment: The preparation of this review was supported in part by the Hope for Depression Research Foundation. whether such an assumption is truly warranted. Given that the creation of harshly self-critical traits probably has multiple potential developmental pathways, we wonder how much those tendencies toward excessive shame, guilt, and self-criticism still might reflect necessary and essential contributions coming from a systematic failure of social support at an early age. We would still argue that self-esteem is a critical structural residue of an attachment history and complex social trajectory, and that low self-esteem and a poor self-image, while clearly not synonymous with depression, function as significant predisposing long-term risk factors. We suspect that, in turn, such introjective traits must reflect failures in attunement, empathic responsiveness, and social support and in the mitigation of social stresses, perhaps coupled particularly with high parental performance expectations, harsh or excessive critical feedback, and so forth. As we argue in the article, shame might be best conceptualized as one of the complex cognitive extensions of separation distress, a complex affective–cognitive structure far beyond the complexity of what a small infant mammal could ever experience while separated from its nest and caretakers. Shame must incorporate such things as a self-image, a sense of exposure within a social space, a sense of deficiency in the eyes of others within that social space, and the sense of being unworthy of love not because one is “bad” (that would be more the signature of guilt) but because one is defective. We would argue that shame is an exceptionally powerful depressogenic emotion, often seriously neglected in the clinical treatment of many depressions, but we think it would be a mistake to conceptualize such critical issues as shame and guilt as having no relationship to the primary mammalian affect of separation distress. Indeed, there may be different kinds of depression in terms of how much performance issues, social dominance failures, and shame play a role in the depression and its genesis versus feelings of rejection, desertion, abandonment, etc. However, this remains an unproven speculation about the subtyping of depression, a question we deliberately neglected (for all these many reasons, and others!). An additional dimension to all this not touched on by the commentators is the manner in which depres- © 2009 The International Neuropsychoanalysis Society • http://www.neuropsa.org 88 sions appear to involve a remarkable disinhibition of shame and guilt and other negative self-images, as though those images have somehow “escaped from the closet” and are now “beating the person up,” whereas previously they had been reasonably well contained and were either mostly in the background or more actively “battled against.” Instead, in depressive states, these negative images of self appear to be released like a swarm of harpies to plague and torment the depressed soul. We believe this is one of the least explained and indeed most neglected critical features of depression. In any case, we certainly would agree that depressive typologies better need to account for these variables and that the one-size-fits-all approach of DSM-IV is not likely to be adequate to this challenge (indeed, our review addressed some of our own concerns about DSM-IV). In this sense, we wonder whether both depressive types (an anaclitic type more focused on social losses and concerns, an introjective type more focused on performance inadequacies) still reflect various if perhaps differential perturbations related to a fundamental failure of social support and attachment systems. An additional question is whether introjective traits somehow become coupled to a counterdependent and socially avoidant coping style, where subjects suffering from introjective traits and tendencies work hard to minimize their need for social support in the first place, a defensive operation that we would argue “digs them in deeper” and consolidates a long-term vulnerability to depression, as it often ensures a virtually permanent lack of social support. In any case, we expect that over the long term, there will be research elucidating exactly what genotypic contributions there are to these two phenotypes and how those genotypes interact with the environment to create behavioral phenotypes. Unfortunately, that level of understanding is not yet available. But we hope and expect that deeper understanding of both endophenotypes and genotypes within the whole spectrum of affective disorders will help clarify these issues further. We also consider in this brief response how such higher order perspectives might ever link up to animal models and basic neuroscience issues. Their psychological deconstruction of the varieties of depression highlights a dilemma for neuroscience in general and most especially the limits of animal models. It is much easier for a cross-species neuroscience to identify the primary-process emotional networks of the mammalian brain (Panksepp, 1998) than any higher order psychodynamics that might accompany depressive states in humans. Likewise, animal models are well Douglas F. Watt & Jaak Panksepp positioned to analyze the neural bases of simple forms of emotional learning, such as classical and operant conditioning, which we consider to be secondary processes (LeDoux, 1996). When it comes to tertiary processes—the higher mental processes that include thoughts and complex decision making, many of which are unique to humans—animal models and basic neuroscience become largely impotent. Human brain imaging might provide some revealing brain correlates, but, with as many interpretative problems that are inherent to such indirect methodologies, they are unlikely to add that much to the complex mental analysis that Blatt & Luyten provided. Maybe fMRI could highlight different ways in which individuals with anaclitic and introjective depression handle the same cognitive/emotional challenges, along with the analysis of neural connectivity patterns, but not much more. Functional imaging (fMRI) is unable to highlight the critical neurochemical issues, although PET used with neurotransmitter receptor ligands could provide some useful insights. But only a few ligands currently exist, and, perhaps wisely, Blatt & Luyten suggested none. However, we are tempted to suggest that anaclitic depression might be accompanied by larger changes in diminished opioid-mediated socialreward dynamics, while introjective depression might be characterized by excessive cholecystokinin (CCK) tone in higher regions of the brain and, perhaps, diminished mesolimbic dopamine dynamics, possibly due to dynorphin dominance. At least such preliminary predictions could be interfaced with animals models (see below) and could also promote relevant studies in humans. However, before we discuss this possibility in more detail, we would first emphasize the limits and advantages of affective neuroscience types of animal models and also the relative impotence of cognitive neuroscience in dealing with the kinds of psychodynamic issues that Blatt & Luyten highlight. First, it is impossible for animal models, especially in the more simple-minded (i.e., less cerebrated) mammals commonly used in neuroscience research, to illuminate the intrapsychic dynamics of those higher cognitive brain processes that provide humans a unique view of mental life. Without any credible translations at that level, the level of “cognitive-value-meaning” analysis that Blatt & Luyten shared so eloquently may remain intellectual territory that will remain largely psychoanalytic/psychological without any clear bridging toward a neurodynamic understanding. Perhaps cognitive neuroscience will eventually provide some strategies for studying the underlying psychodynamics with new paradigms, but Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries we are not aware of such work, and Blatt & Luyten provide no guidance on how such work might be pursued. It is an important area for cognitively oriented brain scientists to cultivate, hopefully pursued in ways that will connect up to causal clinical manipulations, which we assume will be primarily in the neurochemical/neuropharmacological domains. Let us provide the little guidance that we can offer: clearly, as Blatt & Luyten highlight, our analysis was most relevant for anaclitic forms of depression (and because of length issues, we did restrict our coverage to the modern neuroscience era—and we thank them for providing a pre-neuroscientific psychodynamic perspective, from Spitz onward). In writing the target article, the anaclitic perspectives were foremost on our minds, and hence we focused heavily on the social neuropeptides, especially brain opioids and oxytocin, as possible selective vectors through which depressive affect emerged (e.g., leading to low social-neuropeptide tone in the anaclitically depressed brain). Let us now entertain what animal models might add to Blatt & Luyten’s introjective forms of depression. The models that may have the most promise here are the adult social-competition models that attempt to simulate the processes of psychosocial loss in adult social-dominance encounters. This has long been recognized as an animal model of depression (for historical summary, see Panksepp, Moskal, Panksepp, & Kroes, 2002), and the most common, easily used model is the resident–intruder paradigm. In common laboratory rodents, this model consists of having a resident male–female pair that has lived together through at least several sexual receptivity cycles, which tends to make the male hyperdefensive toward any perceived threat to his psychosexual resources. When an adult male intruder is placed into this environment, the resident male makes sure that the intruder’s nose or other parts (!) do not go where they do not belong. This is achieved by a rapid series of threats and attacks that almost invariably throws all intruders off-kilter and into sustained submissive “despair,” which is characterized by sustained social withdrawal. As this type of challenge is continued, with consistent defeat day after day, a depressive phenotype begins to emerge. Perhaps this might begin to adequately simulate the core affective changes accompanying introjective depressions. Whether this animal model offers a decent analog to a human who feels inadequate more than abandoned/rejected remains, of course, to be proven. However, on face value, as an animal model, it does not seem to be a bad match. What has happened in the brains of these social 89 losers? We have done considerable neurochemical analysis on this model, and there are a variety of neurochemical changes. The largest change we have seen so far is an apparent elevation of CCK activity, especially in the neocortex, with smaller changes in corticotrophin-releasing factor (CRF) restricted to the hippocampus, and neuropeptide-Y elevations in basal ganglia, with no observed changes in beta-endorphin, even though the sensitivity of our assay was not optimal for seeing changes in that peptide (Panksepp, Burgdorf, Beinfeld, Kroes, & Moskal, 2007). In more recent analyses of the same brains, we have observed reductions in met-enkephalin, suggesting that this model does yield some diminished opioid tone in the brain. From this, we suspect that future psychopharmacological research could find CCK-antagonists useful in selectively combating the introjective feature of depression that Blatt & Luyten highlighted. Other neurobiological aspects of depression, such as the diminished dopamine tone that may result from elevated dynorphin dynamics, as discussed in our target article, may be more evident in one of these two forms of depression, but it would be premature to offer a speculation on this in the absence of any hard data. We simply wanted to highlight the neurochemical contributions that animal models might add to the sophisticated psychological analysis that Blatt & Luyten provided. In general, their superb summary of the psychological types of depression makes us wonder to what extent the early social isolation/loss-induced, the adult psychosocial-competition-induced, and the diversity of nonsocial stress-induced depressive phenotypes in the many available animal models might simulate different types of human depression. Because of the paucity of hard data, it is surely too early to tell, but we thank Blatt & Luyten for coaxing us to consider more subtle psychological aspects of diverse animal models of depression that are currently being used to try to get at the neural infrastructure of depressive affect. We would also emphasize that psychology-only views of human depression, critically important as they are, will ultimately not be as useful for guiding the construction of the next generations of DSMs as psychobiological viewpoints that can be linked to brainbased emotional endophenotypes (Panksepp, 2006). In closing, we would simply note that if it were to turn out that opiates such as buprenorphine ameliorate anaclitic and introjective forms of depression differentially (or similarly), we would have very important neuroscientific information about the different (or shared) affective substrates of these two potentially psychologically distinct forms of depression. 90 Response to Peter Freed’s commentary Early attachment as one reward opportunity among many? What are the differences between sadness and depression? We appreciated the thoughtful analysis and critique of Peter Freed. Clearly there are some critical differences between our thinking and that of Freed. Part of our disagreement may be around our making a heuristic (although qualified—see below) distinction between the grief/sadness dimension (the acute phases of the human separation-response) and the subsequent second phase of separation distress, the “despair” phase, as a major source of depression. We do not think that sadness per se dampens all reward seeking (that would apply more to depression), although it may dampen interest in rewards other than those related to the lost “object” (but even this has not yet been demonstrated, to our knowledge). With the return of the lost object, sadness can turn to joy very rapidly. There is no environmental event that can achieve such a rapid reversal of true depression. That should be a telling point for Freed’s thesis. Fortunately, we both agree that sustained sadness, and unresolved grief, is one of the major gateway variables for the depressive cascade. Thus, it should not be controversial that some degree of chronic sadness may be present in some sustained depressive episodes, but sadness does not appear to be an essential ingredient for sustaining depressive despair. Still, we are worried that Freed wants to go back to making sadness and depression almost synonymous, as opposed to the complex relationship that we argued for in our essay. Thus, we are not quite clear why Freed has rejected our proposed theoretical framing, in which sadness is clearly distinguished from depression. Clearly many forms of depression are not characterized by sadness. At several points in his commentary he himself distinguishes between them, so this leaves us a bit confused as to how he understands the relationship between these two concepts/states. Additionally, we believe that Freed in his commentary is gravitationally attracted to his own primary theoretical question of interest—“how does the downregulation of incentive salience occur?”—with the hope that an answer to this question will provide deep insights into depression. While we agree that mechanisms for the modification of reward seeking and withdrawal from attachment bear some intrinsic relationship to the problem of depression, we do not think that they are the same issue, or that an explication of the mechanism(s) by which incentive salience is downregulated neatly gives us the mechanism of depression. Douglas F. Watt & Jaak Panksepp We must recall that a diminution of incentive salience (largely a theoretical, rather than an empirically wellvalidated, neuropsychological concept) presumably always happens whenever organisms extinguish previously rewarded responses. However, to our knowledge, extinction of rewarded responses has never been proposed to be a main vector of depression in animal models or empirically featured as a major pathway to clinical depression. Hence, it is just a creative conjecture. Indeed, if diminished “incentive salience” turns out to be nothing more than an organism starting to ignore certain stimuli in the environment—something that occurs whenever a discriminative stimulus no longer predicts rewards—we suspect the concept may have less substance than is commonly believed. In any event, Freed nominates sadness as the mechanism for “reducing incentive salience,” suggesting that such a behavioristic scheme is a potent model for depression. He challenges our argument in these terms: To argue that depression is the evolutionarily conserved process by which protest is dampened is, implicitly, to argue that it bestows some adaptive advantage that is greater than the loss of social function it requires, relative to grief. In a nutshell, we see this particular framing as an improbable option and one based on a key assumption that is very questionable. Depression does not have to have an adaptive advantage (relative to grief) in dampening separation distress in order for it to have been selected, simply because an infant mammal does not have any realistic option to “grieve” the absence of its caretaker and move on to another, better caretaker (see later comments in this regard). If more young animals survived that went into a quiet, energy-preserving “despair” response and then reproduced, this would suffice for a depressive mechanism to have evolved. But we are not dead-set on an “adaptation” but would be just as happy if it were an “exaptation” that was a derivative of the intricacies of the separation-distress mechanisms of the mammalian brain. All that aside, and more critically, we also have a very different view from Freed as to what might be truly constitutive for the two phases of the separationdistress process. Freed writes: Rather than suggest that the entire despair phase performs some function with respect to the entire protest phase, we focus on the core “positive symptom” of despair—sadness—and its relationship to the core positive symptom of protest—yearning. We hypothesize that sadness may be a subjective correlate of neural events in which dopaminergic yearning and seeking mechanisms, geared toward obtaining oxytocin and Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries opioid rewards, are downregulated. We suggest that sadness facilitates the rapid onset of what I will call the adaptive “negative symptoms” of despair: amotivation, immobility, introversion, depressive affect, and anhedonia. We summarize our model as follows: When the desire for reunion with a deceased loved one is both overpowering and maladaptive, a mechanism that inhibits reward seeking and downregulates yearning and attentional bias [towards the attachment] is useful. Sadness may be such a mechanism. However, if sadness does not perform such a function, further inquiry is needed into the mechanisms by which bereaved persons decouple outdated stimulus–reward associations. [emphasis added] We would certainly agree that sadness (mild separation distress) “facilitates . . . the ‘negative symptoms’ of despair,” an idea whose neurobiological basis has been around since Panksepp’s initial neurobiological work that first characterized the anatomies and neurochemistries of the separation response in a variety of animal models (Panksepp, 1981; Panksepp, Siviy, & Normansell, 1985; Panksepp, Yates, Ikemoto, & Nelson, 1991). Furthermore, we would emphasize that there are always difficulties and pitfalls in translating from an early-infant mammal behavioral model to an adult human one. Conceptual issues of all kinds can readily happen whenever one has to translate from the world of comparative animal research, where primary processes (raw affects) and secondary processes (learning) can be studied in detail, to more complex human clinical analogs where tertiary processes (thoughts and the long-term appreciation of one’s lot in life) must be considered. Human sadness cannot be thought of as completely synonymous with the animal-model concept of separation distress, but at the same time it is probably a complex “cognitive extension” in humans of the original prototype mammalian state of separation distress (protest phase). However, that cognitive extension (sadness) takes place in a system that is vastly more complicated than the brain of any infant mammal, the model system on which our neuroscientific understanding of separation distress is based. These difficulties in translation potentially introduce several sources of conceptual confusion in these two paragraphs from Freed’s commentary. First of all, we disagree that the “core positive symptom” of the “despair phase” following separation distress would be any animal analog to “sadness,” as opposed to behavioral shutdown and withdrawal. Sadness is surely much more closely related to the initial phases of a separation response, since opioids are quite efficacious in reducing sadness (hopefully oxytocin, too, once 91 someone actually completes an empirical test of that straightforward idea from our understanding of PANIC circuitry). Thus, in our view, the behavioral shutdown of the despair phase may terminate anything that one could consider an animal analog to sadness, since, behaviorally, the primary index here for an animal-model analog to sadness would have to be separation cries, which are clearly terminated by the “despair” phase (indeed, this is how one indexes the transition!). Perhaps human sadness requires complex tertiary-process object relations that are so well developed in humans. We are thus genuinely puzzled as to why “sadness” is “re-located” by Freed into the despair phase, an animal-model analog to human clinical depression. Even allowing for the uncertainties of translation from an animal model to human behavior, we think this is likely to be a mistake. Additionally, we would argue that the “core positive symptom” of the protest phase is not simply “yearning,” it is active distress (in adult human terms—“grief”) over the absence of the object and the expression of this distress in some active motoric fashion (separation cries in the animal model, crying in the adult human—both forms of visible upset—and the seeking of reconnection in both the animal model and the human social situation). All of these are at least to some degree terminated by depression (in terms of the animal model, by the despair phase). In other words, Freed places “sadness” at the core of the “despair” phase, whereas we believe that acute grief is largely, albeit probably not completely, terminated (although lingering sadness as a milder arousal of the separation-distress response surely remains in some depressions). A major challenge to Freed’s position becomes how he might explain the presentation of the most severely depressed patients who no longer express a trace of sadness and, indeed, who are frighteningly empty, who need and want nothing except an end to their emptiness and hopelessness, often imagined as available in death. Equally challenging would be any empirical demonstration of what is happening in the brain during sadness that is substantially different from what is happening during the early phase of the separation-distress response (e.g., low opioid and oxytocin activity). We do not see any evidence for such a substantive neurobiological difference. Freed’s suggestion that “sadness may be a subjective correlate of neural events in which dopaminergic yearning and seeking mechanisms, geared toward obtaining oxytocin and opioid rewards” being “downregulated,” strikes us as a “stretch” and without empirical support. Whereas there are good data confirming that human sadness is a low-opioid state (Zubieta et al., 2003), there are no data (at least 92 Douglas F. Watt & Jaak Panksepp that we are aware of) indicating that sadness is associated with substantive downregulation in dopaminergic activity. Indeed, to our knowledge no one has ever reported that pharmacological diminution of dopamine arousal in this system provokes or amplifies sadness. Low dopaminergic tone has been established in models of depression (especially its more apathetic and amotivational variants) but not in sadness, underlining the importance of the distinction between being sad versus being depressed. Again, in our judgment, Freed’s position yields an unfortunate conflation of sadness with depressive states that has confused and puzzled psychiatry and the DSM for quite some time, as already commented on in the target article. An open question admittedly raised by all this is to what extent depressive phenotypes (and, as noted earlier, we have not tackled the challenging heterogeneity of depression, as this is beyond the scope of our essay) involve clearly differential degrees to which sadness and depression might coexist. We would argue that although sadness often coexists with lesser degrees of depression (classically in response to recent primaryobject losses), as depression deepens subjects become increasingly emptier, increasingly apathetic, amotivational, and, indeed, virtually incapable of sadness. In the first author’s clinical practice, he has had many of his more seriously depressed patients express wishes to feel almost anything, including on many occasions even some degree of sadness. Indeed, the most severely depressed patients no longer express wishes for anything (almost as if their SEEKING system has come to a relative standstill). Obviously, this underlines how depressive mechanisms can become “unhinged” from their original adaptive/evolutionary control systems and hypertrophied, to create the whole panoply of depressive illness. This aspect of the process is poorly understood, but it is instructive to remind ourselves that virtually all illnesses reflect (at least in part) how a regulatory or adaptive-compensatory mechanism is stretched to the breaking point, or how its excessive recruitment potentially causes serious perturbations in other essential processes (e.g., the recruitment of excessive inflammatory processes, which contribute to the diseases of aging). Additionally, we probably would raise questions about the framing of one other aspect of Freed’s argument already briefly alluded to above: In our model, the opportunity cost of protest is its most serious downside. While a period of heightened incentive salience may adaptively promote reunion with a missing object, attention/yearning/seeking/crying comes at the expense of pursuing other strategies toward adaptive fitness. At a certain break-point the opportunity cost of protest becomes too high relative to other avenues toward regaining function, and for adaptive fitness to be maximized, it must be downregulated. This paragraph involves a potentially excessive behavioristic, as opposed to a neuropsychoanalytic, framing (and we doubt if Freed is a true behaviorist) that lost objects constitute “reward opportunities” and that the pursuit of these lost opportunities involves “costs” regarding other reward possibilities. While social attachments are surely places for “reward” (as we have emphasized: Panksepp, 1998; Watt, 2007)—a mutuality of play and smiling responses, as well as comforting/empathic responses when one party in the dyad is distressed—early attachment for the infant mammal should not be conceptualized as simply “one reward opportunity among many.” Instead, we believe that one has to assume that early attachment must function as a “linchpin” system in the brain, simply because the loss of a caretaker for a helpless infant mammal would be invariably fatal. In other words, evolution would have selected against early bonding in this context being simply “one reward opportunity among many” (analogous to having to choose between pizza, cheeseburgers, or tofu!). In this important sense, we would argue that Freed’s formulation of an “opportunity cost” for protracted attachment for an infant mammal is untenable. Without a supportive social bond, every infant mammal is likely to lose its life. While Freed emphasizes the “opportunity cost” of protest and continued “cathexis” in terms of an infant mammal, the loss of this primary caretaking attachment in a literal and real biological sense has to be understood as involving the potential termination of virtually all life opportunities. Rene Spitz demonstrated this relational disaster overcoming human infants who were well fed and watered as involving some kind of poorly understood homeostatic/physiologic collapse. Indeed, given how similarly deprived monkeys survive in Harry Harlow’s classic experiments (Harlow, 1962), one is forced to the conclusion that humans are possibly even more dependent on primary social bonding in a profound biological sense than even other mammals, again underlining the likelihood that attachment must function as a massive regulatory-linchpin system in the human brain. For this reason, we do not think that behaviorist metaphors about reward, reward opportunities, and disordered “incentive salience” are adequate, because they imply a kind of unrealistic equipotentiality to various “rewards” and reward opportunities/incentives. It is also worth reminding ourselves that for a long period of time behaviorism had a very dismissive view of early attachment and bonding, regarding “excessive Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries attachment” between mother and child as very undesirable and something to be avoided (Watson, 1928). Although such an extreme degree of vulnerability to object loss may not exist for many adult humans, for all our outward appearance of independence, we remain deeply dependent on a matrix of social connections. There can be little question that group cohesion and social bonding must have been strongly selected early in mammalian evolution and perhaps even amplified further in hominid evolution, as a single human being, even as an adult, had very little chance of survival, except in unusually rich and “easy” nutritional environments, and, of course, absolutely no chance at procreation. In this sense, we would suggest that early social attachment cannot be thought of as simply “one reward opportunity competing among many” but as a massive regulatory system (probably consisting of several interacting prototype emotional systems as outlined by Panksepp, 1998) sitting over homeostasis proper (hunger, thirst, pain, temperature regulation, etc.). In this sense, it would have to have a primary influence over motivational systems. Shutting down attachment in this context would be costly, but again, in the original prototype situation, animals tend to “thaw out” quickly when placed back in the original social supportive context of the nest, underlining how this mechanism was probably originally hinged to intrinsically prosocial (“reactivating”) mechanisms that would rapidly terminate depressive cascades on reunion, a critical issue that remains empirically poorly mapped, but we can be reasonably certain that opioid release figures heavily in these reunion “rewards.” It is safe to assume that serious depressive illnesses reflect the failure of these “reactivating” mechanisms on depressive shutdown, again something that is still poorly understood and a neglected question in the molecular and bottom-up view of depression in psychiatry. The problem of separation distress is again not simply that an infant mammal continues to waste opportunities for other things (there are precious few opportunities available in the internal world-model of a helpless infant mammal without its caretakers). We argued that the cost of protest is not a “lost opportunity for other rewarding things” but, rather, the more dangerous prospect of metabolic exhaustion and the manner in which protracted distress (if unsuccessful at achieving reunion relatively quickly) could only function as a beacon for predators. In this sense, it is easy to see how evolution would have carved a comparatively short time frame for a period of active separation distress, protest, and agitation, by virtue of its adaptive necessity. Such a period of protest would need to be long enough to alert caretakers in the immediate envi- 93 ronment but, additionally, short enough not to totally exhaust and deplete infant mammals who have just lost their primary source of metabolic supply and also not long enough to alert every predator in the immediate region. One suspects that the fine tuning of this evolutionary equation would have to be different for different species emerging from different evolutionary niches (yielding relatively longer vs. relatively shorter periods of protest before a putative shutdown mechanism would have to be activated). For instance, laboratory rats and mice show an incredibly short separation response (several minutes at best) suggesting that they have a vestigial protest system (Panksepp, 2003a) and would be less likely to cascade into depression following social isolation than would more deeply bonded animals. Indeed, if social bonding-attachment arises from a massive emotion regulatory system sitting over homeostasis and consisting of multiple prototype emotional systems, it makes perfect sense that depression would have to turn down motivation of all kinds by somehow getting at the base of generalized motivational arousal, what the second author has conceptualized as a SEEKING system, anchored in the ventral tegmental mesolimbic/mesocortical dopamine systems and their extended connectivities. Anything less than a shutdown of this system would not achieve the goal of behavioral inhibition and termination of futile efforts at seeking reconnection and reestablishment of proximity to a caretaker. It is this cost–benefit problem in depression that Freed also is seeking to address (and which he captures in his metaphor of “turning off one bulb by blowing every fuse in the house”), but we would argue that the cost–benefit equation hinges on the trade-offs between what are two differential lifethreatening scenarios (loss of the primary caretaker vs. metabolic exhaustion and predation). Given that evolution appears to drive prediction algorithms about life contingencies eventually into the brain structure (the brain functioning as a vast prediction engine), we argue that evolution carved social bonding and separation distress as well as a mechanism for terminating separation distress probably in a coincident fashion. In this context it is noteworthy that antidepressants such as imipramine actually elevate separation distress when vocalizations have diminished as animals enter the despair phase (Panksepp et al., 1991), supporting how the despair phase, which downregulates separation protest, is likely to have substantial mechanistic overlap with human clinical depression. These findings also suggest the importance of preserving a careful distinction between these two phases of the separationdistress architecture. 94 Although the shutdown phase of the separation-distress response may seem like a bad trade-off in terms of “lost reward opportunity”—and certainly the generalized motivational deficit and behavioral shutdown of protracted depression are potentially very costly—evolution (at least in our judgment) apparently “decided” that a capacity for depression would become the most primitive readily available solution to protracted separation distress, built in to the complex multidimensional and interactive “tool-kits” of an intensely social brain. In our analysis of more “bottom-up” mechanisms, we argue that this shutdown emerges from multiple interacting factors (our notion of a “depressive matrix”), but particularly from how protracted stress cascades (potentially dysregulated by proinflammatory cytokines and potentiated by crashing opioid and oxytocin systems) could upregulate inhibitory dynorphin feedback on the ventral tegmental system. Proof of this working hypothesis would require establishing a clear temporal correlation between transition from protest to shutdown and measures of separation-distress-related upregulation of dynorphin (or other modulators of DA function including cytokines: Ye, Tao, & Zalcman, 2001) and downregulated dopaminergic activity. To our knowledge this has not yet been fully achieved. But because this transition is so critical (at least in our judgment) to understanding the evolutionary genesis of depression, we do not agree that it would be better simply to “throw out” the phases of the separation-distress response, as Freed suggests, and substitute some version of an “adaptive task framework.” We believe that Freed is seduced into this position by virtue of an assumption that understanding the mechanisms by which “incentive salience” is altered is superordinate to the problem of depression, because this mechanism appears (at least implicitly in his judgment) more critical to adaptive success than does the maintenance of early social bonds, an assumption that Freed does not explicitly defend but one that would, in our opinion, be questionable. We argue instead that this transition from protest to shutdown is the loudest and most consistent clue as to the nature of a phenomenon as complex and multidimensional as human adult clinical depression. If we ignore this transition because it is not, in Freed’s judgment, focused enough on “adaptation,” we miss the most critical source of biological data on what depression really is. This problem is different, however, from the main problem that Freed wants to address—namely, the issue of how we achieve decathexis from an absent figure and also how we “downregulate” (a now-unrealistic) “incentive salience.” We agree that human adult grieving must Douglas F. Watt & Jaak Panksepp play a central role in detachment, although its neural mechanisms remain to be clearly elucidated. We agree that sadness must relate to those mechanisms of “decathexis,” but we do not anticipate that answers to those questions will give us a deep or complete understanding of depression. Our overall view is that a fuller understanding of the dynamics and vicissitudes of social bonding—of how protracted separation distress might affect other systems, including prototype emotional systems for playfulness and seeking urges—will be the primary processes upon which we must focus our clinical and research attention. Response to Paul E. Holtzheimer’s commentary A natural history of depression in mammals? Continuing confusions between sadness and depression? We appreciated Paul Holtzheimer’s supportive and at the same time incisive comments on our review of depression, and he poses three major questions for us that provide opportunities to both test as well as sharpen our argument and thinking about the problem of depression and its relationship to separation distress. Question #1: Does the natural history of separation distress in humans and other mammals support such an explanatory model for human depression? Conversely, if adult human depression represents an evolutionarily conserved process, what is its analog and prevalence in other adult mammals? This is an excellent question about the natural history of separation-distress reactions in humans and in other mammals, particularly adult mammals. There has been virtually no substantive study or detailed review of this question, but we believe that what little work exists does support our position (for some relevant overviews, see Carter, 1998; Carter, Lederhendler, & Kirkpatrick, 1999). We could not find, however, either a long-term longitudinal or population study of depressive reactions in adult mammals. We suspect that sustained depressive reactions in adult mammals are quite rare in the wild, probably because they would often be associated with major premature mortality (possibly for both prey and predator species). Additionally, such reactions would be potentially inhibited by virtue of social groups, consistent with our hypothesis that briefer depressive reactions in mammals are normally Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries attenuated by re-establishment of social bonds and social support within a larger social context. Mammals cut out from their normal social groups for one reason or another might be exposed to more substantial depressive reactions, but this has received almost no formal study to our knowledge, and obviously our suspicion would be that sustained depressive reactions in the wild might have major associated morbidity, as would the potential precipitating stress of extrusion from social groups. Obviously, any adult mammal extruded from its group by definition would have no chance at procreation and, for that matter, significantly reduced chances of survival. Unfortunately, it would probably be impossible to study this naturalistically with any degree of neurobiological monitoring because simply capturing animals who might be dealing with potential depressive states would severely stress them and presumably exacerbate any depressive reaction. We suspect, therefore, that a true naturalistic study of this question in any mammalian natural grouping that might combine both behavioral and neural measures would be virtually impossible. All those difficulties aside, we believe that intruder stress and dominance paradigms studied in the laboratory are excellent models for understanding adult mammalian depressions, and these certainly show deeply homologous neurobiology to the human clinical situation and with separation-distress neurobiology also (Panksepp et al., 2002). As we noted in our review of previous evolutionary thinking on depression, several previous thinkers and theorists have hypothesized conservation of somewhat different depressive reactions in relationships to social losses versus social failures (Keller & Nesse, 2006). These dimensions may also link up to work on anaclitic (social loss) versus introjective (social failure) differences in major depression emphasized in Blatt & Luyten’s commentary. Keller and Nesse asked 445 participants to identify depressive symptoms that followed a recent adverse situation. They found that descriptions of guilt, rumination, fatigue, and pessimism were prominent following failed efforts, while crying, sadness, and desire for social support were prominent following social losses. As for the question of the natural incidence of depressive reactions in adult mammals, we cannot find any data on this question. However, as we questioned in the review, we do not believe that the lifetime incidence of depression is likely to be the 7%–15% in humans that Holtzheimer references, as we consider most epidemiological estimates of depression to be a significant underestimation due to intrinsic and potentially severe reporting bias. We would argue that the vulner- 95 ability of humans to depression may be greater than that of other mammals because of our apparently even greater dependence on social bonds than are monkeys (hospitalism in humans vs. the survival of Harlow’s monkeys) and, additionally, that modern technological societies are perhaps intrinsically isolating, subjecting humans to multiple forms of classic depressogenic stress. In this sense, the incidence of depression in a natural mammalian group would not have to even remotely reflect the incidence in Western technological societies for our hypothesis to be supported (indeed, identical incidence in a natural mammalian social group vs. what we suspect is a more isolated cultural group of humans would be quite problematic for our hypothesis). We think better support would come from demonstrations of homologous neurobiology (such as elevated HPA axis and proinflammatory cytokines, reduced seeking and self-stimulation, reduced opioids and oxytocin, etc.) across multiple species that show early social bonding and a solid separation-distress response system (which, for example, might raise serious questions about using rats as a model species). However, supporting our argument in a general way is, for example, the finding that depression has similar comorbidities in other mammals to those in humans. Shively, Musselman, and Willard (2009) found that depressed female monkeys (subjected to social-status stressors and subordinate positions within social hierarchies) become socially withdrawn and have changes in body fat, low levels of activity, high heart rates (implying catecholamine overdrive), and disruptions in various hormone levels along with accelerated atherosclerosis, all paralleling findings in humans. They found alterations in HPA axis, ovarian function, lipid metabolism, and autonomic changes, particularly heart-rate variability, suggesting that depression in female monkeys has many of the same “comorbid companions” as it carries in the human clinical situation. Regarding Holtzheimer’s comment on human clinical depression and the uniqueness of the prefrontal systems in humans, and how this might affect both the incidence and manifestations of depression in humans versus other mammals, this is also an excellent question, but again one with little substantive empirical exploration, to our knowledge. Given the primary “supervisory” role of prefrontal systems in relation to emotion, and how different prefrontal systems (orbital, medial, and dorsolateral) differentially “gate” (both activating and inhibiting) numerous subcortical systems involved in prototype emotion, it is perhaps not surprising that changes in prefrontal function are associated both with the induction of depression and with its 96 possible long-term effects. We suspect that a primary issue here would be the disruption of various higher and more cognitive executive functions that cannot be readily measured in animal models, although, perhaps, with some ingenious behavioral measures one might construct plausible homologies, which has already been done for some aspects of executive function (such as animal models for working memory based on delayed nonmatching to sample). Additionally, animal models cannot at the present time capture the depressive cognitive space of humans, with its tendency toward rumination, negative prediction, and the darkening of virtually every complex cognitive perspective. However, we do not believe that our greater executive or cognitive complexity means that animal models cannot provide excellent testing grounds for virtually every other aspect of depression, especially the all-important affective substrates. We have yet to find a significant disjunction between animal and human models in relationship to many monoamine systems, the stress axis, multiple neuropeptide systems, and multiple aspects of hormonal, immune, and homeostatic regulation. In this sense, perhaps the cognitive “icing on the cake” might be pretty different, but underneath that it certainly looks like deeply shared mechanisms in the subneocortical affective networks! We doubt that animals ruminate, and clearly many other cognitive aspects of depression cannot be studied, but animal models have provided an exceptionally rich and fertile ground for understanding in every other way. Question #2: If depression fundamentally results from brain mechanisms related to social-loss separation distress, how are nonstress-related depressive episodes explained? Some of what we discussed in relationship to Question #1 helps to address this question, and there was also some discussion of this in the target article, although not in detail. An easy evolutionary argument would be that a mechanism that can be instantiated early in development in relationship to social loss can be easily recruited later in relationship to different kinds of social stresses, particularly those related to dominance hierarchies and social-subordination stress. In any situation involving chronic helplessness in the face of virtually any severe stressor, depressive shutdown can potentially be elicited. This can include not simply attachment-related losses, of course, and not simply classic dominance issues, but almost any serious and sustained unpleasantness that one can imagine. Chronic pain is an excellent example of a depressogenic Douglas F. Watt & Jaak Panksepp stress. It becomes harder to see what the evolutionary advantage of a depressive response might be in relationship to chronic pain (perhaps relative immobility might lessen pain), but as Keller and Nesse (2006) have emphasized, depressive conservation/withdrawal mechanisms are clearly adaptive in dominance conflicts, where continuing in the dominance conflicts would result in imminent risk of severe injury and death. Perhaps another dimension to the depressogenic nature of pain could be its close intrinsic relationship with separation distress (Panksepp, 1998). Question #3: Does human depression (from a neurobiological perspective) correspond to the state of physiological shutdown associated with separation distress or with the abnormal regulation of this process? That is, is depression “sadness” or “the inability to regulate sadness”? Holtzheimer also notes: What appears to distinguish the clinical disorder of depression is not sadness itself, but (1) the presence of sadness in the absence of a known trigger; (2) a degree of sadness and associated emotions/cognitions (e.g., guilt, anxiety, hopelessness, suicidal ideation) more extreme than would be expected given a known trigger; and/or (3) the persistence of sadness beyond presumably normal limits. Some of these same difficult issues are addressed in our response to Peter Freed’s commentary, and we would refer Holtzheimer to those comments also. Sadness is clearly a component of mild depression. However, we think that severe depression operates, for the most part, to shut down sadness, which would be the closest adult human homologue to the protest phase of separation distress in infant animals. We are somewhat skeptical that the three criteria proposed by Holtzheimer are heuristic or clinically useful, particularly about sadness “beyond normal limits,” more than expected, or “without any apparent trigger.” How does one clarify what is the normal limit of sadness in relationship to the loss of a spouse or child? Clearly these are profoundly distressing (indeed if they weren’t profoundly distressing, that would raise major questions itself), and the more hurtful and distressing the loss, the greater the potential for induction of a depression. Indeed, to the extent that anyone has “all their eggs in one basket” in an attachment sense, the loss of that attachment is more likely to be intrinsically “depressogenic.” We see this perspective as having more heuristic value clinically than any attempt to spell out whether a person’s sad- Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries ness is “excessive.” As we emphasized in the article, the problem of a seriously depressed mood is not that the person is truly “sad” in a primary sense; it is more that they are losing a more hopeful orientation toward rewards and social opportunities in the world. This is the essence, at least in our judgment, of a depressed mood—not simple sadness. The loss of a more hopeful orientation and the collapse of other reward-seeking and attachment behaviors, especially the collapse of baseline positive emotional responses such as playful and smiling responses to others, might be a better metric of depression than simple sadness. In other words, a key feature of depression is the inability to experience positive affective feelings. Sadness that can be rapidly alleviated by positive social intercourse is not depression. Of course, in patients with schizoid features, where there is a chronic shortage of such responses to others, this criterion becomes harder to apply. Again, as we emphasized in the response to Freed, we do not see depression in a strict sense as a “sadness disorder,” simply because subjects certainly can be quite sad without being depressed at all, and quite depressed without being sad at all. We don’t think that sadness in the absence of a known or expressly articulated “trigger” is necessarily pathognomonic of depression, because clearly there are many instances of people having trouble acknowledging a loss of one kind or another without necessarily becoming clinically depressed. Part of the problem again is simply the excessive conflation of being sad with being depressed, a conflation that psychiatry has been guilty of for a long time. While in a simple animal model the temporal disjunction between a “sad mood” (protest phase) and a “depressed mood” (despair phase) is relatively clear-cut and measurable (the animal simply stops protesting in the despair phase), we suspect that the massive overlay of cortex—especially prefrontal system cortex—in humans changes this simple equation to a more complex one. Presumably this happens in some “Jacksonian fashion” (later arriving cortical systems modulate what were originally relatively inflexible routines) to yield varying admixtures of sadness and depression. In other words, the initial and beginning recruitment of a depressive shutdown mechanism does not completely terminate all sadness and separation distress, and the transition from sadness to depression loses perhaps some of the clear-cut disjunction evident in the simpler animal models. Certainly as depressions deepen, the evidence is fairly compelling (at least in terms of clinical descriptions) that sadness is ablated, and, indeed, virtually all emotion and motivation are gradually emptied out. Holtzheimer poses one final challenging question: 97 it would be instructive if . . . [the authors] . . . could comment on whether they view depression, from a neurobiological standpoint, as referring to the state of shutdown itself or the disrupted regulation of the shutdown process. This difficult question gets at the critical difference between intrinsic mammalian endowment versus the potential epigenetic effects of less-than-optimal development on those same endowments. Although our current understanding is surely preliminary, the evidence suggests that early histories of loss, neglect, isolation, or abuse potentiate the recruitment of depressive mechanisms and/or inhibit and compromise their termination. Those early environmental factors obviously interact with what are in all probability many genetic polymorphisms, barely mapped, which further amplify or reduce subsequent vulnerability to depression. Holtzheimer’s question also points to one very critical issue that has been generally neglected. Depression, in the sense of a mammalian endowment for a protective shutdown mechanism, clearly must have intrinsic naturalistic and inhibitory controls on it, perhaps largely mediated by the effects of reunion and re-immersion in a social matrix. Depressive illness in humans suggests the possibility that those controls, which adaptively terminate depressive cascades on reunion and the reestablishment of social support, are somehow disrupted. This important question has received almost no substantive attention from clinical neuroscience, perhaps again because the conceptualization of depression has been mostly ripped off its basic emotional moorings in psychiatry, especially its close and intrinsic relationship to the vicissitudes of attachment. It is too often conceptualized as a bottom-up molecular problem that will eventually be solved by a brute-force reductionist molecular approach, without any substantive psychological thinking being necessary. Obviously, this is the approach to depression that we most take issue with. We would suggest that the termination of depressive shutdown in animals that are reunited would be an extremely productive way of deepening our understanding of how those essential regulatory mechanisms might fail in clinical depressive illness. To our knowledge, there has never been any substantive empirical investigation of this question, because the current dominant molecular approach in psychiatry has become largely blind to depression’s true naturalistic context. In any case, we concede that the complexities of an adult human brain cannot be completely reduced in a Procrustean fashion to the comparatively simple concepts derived from animal models. However, we do think the animal models can give us deep and funda- 98 mental clues about the deep primary-process emotional nature of the clinical disorder. We chose the animal social separation-distress model because among the many existing animal models for depression, we feel that one has the best overall congruity with the clinical realities, in which various flavors of loss form the most common precipitating stressors for depression. Of course, no “univalent” or single-dimensional theory is ever going to explain virtually anything going on in an adult human brain, especially in its full cognitive complexities, but we do think that the animal models advocated for in our article provide fundamental clues about how one might understand and heuristically integrate the confusing thicket of correlations in the depression literature, with a clearer vision of possible neurochemical controls, hopefully clearing a path toward a more integrated understanding of this increasingly widespread human problem. Response to Ilia Karatsoreos & Bruce S. McEwen’s commentary A more bottom-up (homeostatic) view of depression than ours Ilia Karatsoreos and Bruce McEwen generally agreed that the types of emotional dysregulations we discuss are likely contributors to depression, and they proceeded to highlight how other bodily dysregulations, especially disruptions in the circadian systems, may be an especially prominent vector in amplifying “allostatic overload” that may promote depression. Such alternative, synergistic, views are useful for establishing research programs that may help better distinguish the bodily and brain imbalances that are, in fact, most influential in the genesis of depression. However, until empirically demonstrated otherwise, we would still argue that the current “state of the art” more clearly supports a brain affective–emotional–motivational source of depression than simply a circadian–homeostatic one. Although Karatsoreos & McEwen focused largely on their own alternative conceptual viewpoint, one that we believe is not yet as well empirically supported as the disrupted emotional–affective view we advocated, we would take this opportunity to highlight a few concerns that one must have about such an alternative view. So far their proposal is largely a “plausibility argument,” and we would share some perspectives that may help sharpen their analysis. First, “allostasis” is a general conceptual concept, such as “drive” and “incentive,” for organizing a di- Douglas F. Watt & Jaak Panksepp verse set of distinct bodily processes. In other words, there are a host of endophenotypes (real entities of brain and body physiology) under such broad concepts, and Karatsoreos & McEwen primarily focus on the role of disrupted circadian oscillators and bodily homeostasis in the genesis of depression. Within that broad conceptual view, one might make a first-pass hypothesis that lesions of the suprachiasmatic nucleus (SCN) or continual darkness or illumination would all potentially promote depression in experimental animals. To our knowledge, no robust lines of data affirming those predictions yet exist. Indeed, one might even imagine that forcing animals to eat food just during the half day that animals normally do not eat much (i.e., light phase in rats) might promote depression. Such manipulations should clearly shift many associated behavioral rhythms and presumably circadian oscillators, but so far there are no data that such manipulations are depressogenic. Although a disrupted circadian oscillator is certainly one of the consequences of depression, to our knowledge there is currently no robust database indicating that it is a major source of depression. Still, we look forward to a full evaluation and testing of this hypothesis from the McEwen lab. We suspect that this line of argument could be made more robust if it were restricted to endophenotypes of circadian processes, such as the role of the pituitary adrenal axis in depression. Everyone would surely agree that a sustained HPA stress response is important in the genesis of depression; indeed, negative emotions such as separation distress are very effective in recruiting this response, and it will be interesting to evaluate whether certain paths to imbalances in this general homeostatic system, such as social-emotional challenges, are more likely to promote depression than the bodily-homeostatic regulatory challenges that would fall more directly under their concept of allostatic overload. From their perspective, one might predict that sustained stressors such as hunger and thirst would be as influential, or even more influential, than social loss in the genesis of depression. To our knowledge there has been no head-to-head comparison of such body regulatory and brain emotional stressors in the genesis of depression. One data point unfortunately against this argument is the literature on calorie restriction, where animals and also humans are chronically hungry (but not malnourished), and yet, despite this, calorie restriction appears to provide a kind of stress inoculation that may protect against depression and, indeed, against many other biological stresses (Anderson et al., 2008). In fact, calorie restriction is the gold standard in reducing the diseases of aging and even aging itself. This suggests that simple homeostatic energy chal- Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries lenge cannot be equipotent with severe social loss or, for that matter, pain and physical injury/disability as inducers of a depressive response. One homeostatic threat that has at least clinically been extensively linked with the genesis of depression is, of course, the common phenomena of pain. Chronic pain syndromes have enormous comorbidity with depression (Williams et al., 2003). Indeed, the clinical incidence of depression in patients with chronic pain who also have classic psychosocial stressors such as serious degrees of social isolation, other severe social stress, and/or recent major losses approaches 100%. A completely unexplored question in this association between chronic pain and depression is whether chronic pain is effective in eliciting depressive shutdown in part by virtue of potentially close evolutionary connections between pain and separation distress. All of these questions underline the vast unmapped territories in the intimate interregulation between emotion and homeostasis, a vast borderland no better mapped and perhaps more systematically neglected in neuroscience than the other great borderland—namely, emotion–cognition interactions. These three large domains of homeostasis, emotion, and cognition are surely seamlessly integrated in a fashion that remains to be well detailed by neuroscience. Science is very poor at tackling the massive challenge of system-wide integration, but this clearly is a target we must better appreciate if we seek to understand emotion and its profound interdigitations with “higher” cognitive operations and “lower” homeostatic processes. Although we are certainly open to the possibility that homeostatic challenges promote and might even provoke depressive mechanisms, in general we would regard homeostatic challenges as mostly activating SEEKING and other basic arousal mechanisms, because homeostatic challenges of various kinds promote the emission of conserved behavioral routines. Protracted homeostatic challenges, particularly when they are life-threatening, obviously provoke behavioral agitation in virtually any conscious organism, but depressive shutdown in this context does not appear to be adaptive either. In other words, depressive shutdown appears more optimally aimed at stresses for which an organism cannot easily recruit adaptive responses and, even more specifically, may be aimed at a developmentally early stage of separation distress where protracted agitation may be fatal for several possible reasons (metabolic depletion, attraction of predation). Along these lines, we might wish to consider that the most common homeostatic mechanisms in the animal kingdom most intimately hinged to depression might be those involved in hibernation. Many available antidepressant therapies appear 99 to inhibit the ability of organisms to hibernate (Tsiouris, 2005). Given the intimate relationship between the onset of hibernation and other homeostatic and circadian sensing mechanisms (shortening of daylight) and lessened availability of nutrition, reduced temperature, and so forth, it is certainly possible that mechanisms for behavioral shutdown and depressive withdrawal could be directly hinged to a single circadian oscillator, although frankly we doubt that it would work this way. However, that question remains to be established, and the likelihood of a “master control” for depression that “low” in the overall system seems intuitively unlikely to us. But it is admittedly an open question. Thus, Karatsoreos & McEwen’s thesis will be easier to test when it is framed in specific endophenotypic variables that fall under the allostatic overload concept rather than simply relying on the general allostatic concept, which is a way for semantically organizing a diverse set of influences important for bodily health. For instance, we are tempted to suggest that the disruption of the bodily and brain plasticity and repair that may emerge from disruption of a stable sleep rhythm may be such a variable (Cho et al., 2008; Krueger et al., 2008). From this vantage, it is very useful that Karatsoreos & McEwen focus their discussion primarily on the brain circuits and genes that control circadian oscillators. This hypothesis would clearly have to dynamically link circadian oscillators with the large interconnected set of processes that we have outlined in our article (our hypothesis of a “depressive matrix”), including a relative downregulation of the mesolimbic VTA dopamine system, the promotion of proinflammatory cytokines, the downregulation of oxytocin and opioid tone, the promotion of the stress axis, etc. Most if not all of those connections clearly remain to be elucidated. It is also important to emphasize that if they are on the right track, then the body regulatory stressors, especially discrete brain manipulations like SCN lesions, would generally be more influential than the emotional stressors we favor. In this context, we also wish to note that terms such as emotions and affects are also very broad conceptual entities, like allostasis and homeostasis, and that is one reason we favor moving directly to the endophenotypic level of specific emotional systems (Panksepp, 2006), prioritizing those systems that are most likely to contribute most clearly to social bonding (SEEKING, PANIC, CARE, and PLAY) and focusing most intensely on the system that may be the largest contributor to “psychic pain”—namely, the sequential unfolding of the separation-distress/PANIC response toward depressive despair, along the conceptual lines originally outlined by Bowlby (1980). What modern affective neuroscience 100 has been able to add is a more precise understanding of specific brain systems that undergird the concepts that Bowlby brought to the forefront. Likewise, our emerging understanding of the timing genes and circuits of the SCN have provided similar endophenotypic mechanisms for understanding circadian regulation, but so far such knowledge links up empirically only to a general concept of stress and bodily homeostasis but not to the affective–emotional balances of organisms. Hopefully this will change as behavioral neuroscience investigators begin to utilize more discrete and refined emotional system concepts (Panksepp, 1998) rather than the outdated “fight–flight” conflations and “brain reward system” misnomers. In our view, the SEEKING system mediates the acquisition of all varieties of external incentives (Alacro, Huber & Panksepp, 2007; Ikemoto & Panksepp, 1999; Panksepp, 1981, 1986, 1998; Panksepp & Moskal, 2008; Panksepp, Nocjar, Burgdorf, Panksepp, & Huber, 2004) and is not just “the brain reward system” as most investigators have been trained to believe. This system mediates all forms of exploration, foraging, and the pursuit of rewards. In its ability to support survival in such a general way, SEEKING arousal promotes feelings of affectively positive euphoria and eager anticipation (Panksepp & Moskal, 2008; Volkow & Li, 2004). Thus, we were perplexed by the way Karatsoreos & McEwen interpreted our viewpoint to mean that “the system for reducing separation distress is rooted in mesolimbic regulatory regions.” That is definitely not our view. Rather, we highlighted that the diminution of activity in this SEEKING system, whether it be by frustrative nonreward, addictive-drug withdrawal, or the loss of important relationships, is a central vector in the genesis of depressive affect when there is a severe disruption in the flow of expected rewards. In our view, arousal of the SEEKING system surely helps “protect homeostasis” (as well as the organism’s pursuit of virtually every other potential goal; Panksepp, 1998) and hence, when well operating, would help reduce the potential for induction of depression. Indeed, our article emphasized how a critical role in this process is played by kappa opioids, promoted by chronic stress and acting in an inhibitory fashion on the SEEKING system. Buprenorphine is a special drug in part because it is the only commercially available kappa antagonist, and this relatively unique neuromodulatory property is combined with partial mu agonism in a fashion that would counter the changes associated with separation distress itself and also promote a generalized feeling of positive affect. We do agree with the proposal by Karatsoreos & McEwen that protection of bodily homeostasis and Douglas F. Watt & Jaak Panksepp the reduction of allostatic load are very beneficial to bodily health and hence are bound to reduce depressive cascades, because they minimize overall bodily allostatic overload (i.e., stress). Still, we think it is unlikely that the massive levels of depression in our society will be primarily explained by such bodily factors. It will surely be a contributory factor, but until demonstrated otherwise, we suspect a focus on imbalances in social-emotional systems and overall biogenic amine brain-arousal regulatory factors and changes in certain positive affective chemistries (especially opioids) will be more germane for understanding the sources of depression in modern societies. Future research should attempt to pit these hypotheses directly against each other. We, of course, agree that it is important to envision depression as a multidimensional process in both affective and neuroscientific terms. Thus, we completely agree with Karatsoreos & McEwen’s advocacy that therapies need to take multidimensional “holistic” approaches to the treatment of depression, which include a clear focus on genetic predispositions and emotional endophenotypic changes, as well as bodily stress and circadian factors, in attempts to promote concurrently the return of within-brain affective as well as bodily homeostasis. Response to Otto Kernberg’s commentary A metapsychological view of depression: where work needs to go from a realistic psychological perspective We were pleased that Otto Kernberg, one of the most prominent psychoanalysts of our era, viewed our contribution as fitting “harmoniously with contemporary psychodynamic thinking regarding depression,” and we appreciate his complementary, albeit psychologically more subtle, views on the developmental vectors that promote depression. Rather than critiquing our heavily neuroscientific approach, he provided a synopsis of his own psychoanalytic perspectives on this topic of mutual interest. As a result, we were not coaxed to provide any further clarifications of our own points of view, but to consider how his views might supplement our own. Thus, his commentary provides us an opportunity, as did the previous one by Karatsoreos & McEwen, to consider markedly different views of the genesis of depression than our own. Our initial impression was that Kernberg’s set of concepts about depression was not as easily scientifically testable as our own, largely because he highlights metapsychological concepts that remain far more Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries difficult to integrate with available neuroscientific advances. Virtually any single psychoanalytic metapsychological statement can be unpacked into multiple behavioral and phenomenological outcomes, and the lack of adequate operational definitions makes empirical testing of psychoanalytic hypotheses at best challenging, perhaps at worst impractical to impossible. We might now want to consider the challenge of how such a more metapsychological/psychoanalytic view may be neurologized and operationalized. Indeed, this is where the rub is currently in many neuropsychoanalytic attempts to bridge between two cultures—one that is strongly neuroscientific and positivistic in its empirical outlook, accepting only traditional third-person scientific evidence as being relevant, while the other is deeply psychological and theoretical, where first-person introspective analysis of the mental apparatus is de rigeur. To try to link Kernberg’s intriguing position to neuroscientific evidence, we regrettably do not have as rich a database as we did for constructing our own theoretical synthesis. The core issue on which we agree is the central importance of mother–infant bonding and the vicissitudes of emotional storms that arise from the traumatic severance of such bonds or from situations in which the infant is simply left in a highly distressed state without adequate comforting from a parent. We focused, in our analysis, almost exclusively on the dynamics of separation distress, and depressive sequelae; Kernberg took a more nuanced approach to the subtle dynamics of mother–infant interactions, where not only is the distress of being lost or abandoned a main concern, but so too is the quality of mother–infant interactions where there is abundant opportunity for “libidinal” frustrations and resulting rage. We did not even bring up the issue of anger that can arise from unfulfilled expectations and a multitude of attachment-related frustrations, whereas Kernberg’s metapsychological analysis emphasizes the internal management of aggression as a core psychological dynamic, but one that remains much harder to model in neuroscientific terms. To our knowledge, animal models have never noted rage as being a prominent component of the separation response. Kernberg repeatedly suggests that such rageful feelings may be critically antecedent to depression. Thus, while Kernberg suggests that “prolonged separation of the infant from its mother powerfully activates the affects of rage first, despair later, and under extreme circumstances, despondency and reduction of the capacity for object-relatedness,” we would suggest that the appropriate sequence is separation distress/PANIC and despair, and rage only if there is an opportunity for such instrumental actions in the midst 101 of an insecurely attached parent–infant dynamic. However, the absence of any animal-model data suggests that rage does not appear to be a primary response to separation and requires higher mental representations that are hard to study in animal models. This, of course, does not mean that rage is not a factor that needs to be considered in the depressive cascade. Accordingly, we think separation distress/PANIC is the primal response to separation in helpless infants and is a key evolutionary determinant of the depressive cascade; we consider that rage may loom larger among the tertiary processes of childhood, as well as in adult human precipitants of depression. Certainly in adulthood, anger is a gateway to loneliness. No one can tolerate another’s rage for too long, as chronic rage is inherently toxic. Persistent anger at another is a sure recipe for life companions to seek separation, but one key question is whether such anger is only a gateway to the ensuing separation distress or whether it alone is a primary pathway to depression. We suspect the former is the correct view. However, both rage and separation distress may be linked to the experience of a primary helplessness. Until shown otherwise, we would suggest that the cascade of primary affects arising directly from separation may be the more influential in depression than those arising from the secondary, strategic emotional responses such as anger. During early development, such anger displays may promote insecure attachments both in parents and in children and hence more abundant opportunities for separation distress, a condition that could easily promote depression throughout the lifespan. In adulthood, persistent anger and blame are surely major paths for the loss of social support, thereby widening the gateway to depression. But this may be a secondary process. The leaving of angry persons in the throes of their own discontents maximizes the likelihood of separation in adult relationships. Animal models are so far not of much use in evaluating such issues, not because of absence of models of aggression, but largely for absence of relevant affect-focused discussions in behavioral neuroscience. Certainly, the resident–intruder model of social loss (e.g., Panksepp et al., 2002) is a relevant model for addressing such questions. Indeed, various depressogenic neuropeptide changes have been documented in the brains of male social intruders, who always lose in the almost obligatory aggressive encounters that arise when intruders are placed into the domestic territory of other rats (Panksepp et al., 2007). But presumably this is not because of their own anger, but only because of the hyperdefensive, fearful posture they are forced into. However, such work has rarely addressed the brain and 102 psychological changes that transpire in the more rageful, resident animals. But that is the issue that may need to be evaluated. If such encounters adversely influence the stable social relationships of the resident animals, a relevant model might be developed to evaluate the consequences of rage on the emergence of depressive phenotypes. The pharmacological work may be a bit more of a help in resolving this issue. The RAGE system of the brain is enriched with the anger-facilitating neuropeptide substance P at all relevant levels of the primary-process RAGE circuitry—in medial amygdala, medial hypothalamus, and dorsal periaqueductal gray. Substance-P receptor blockade does reduce rage displays (Gregg & Siegel, 2001). In this context, it is noteworthy that Pfizer originally developed Aprepitant as a potential antidepressant, and even though it failed to exhibit any greater potency than SSRIs, ensuing work has confirmed that such agents do, in fact, have significant antidepressant properties (Alvaro & Di Fabio, 2007; Kramer et al., 2004). Might this be partially due to the moderation of angry behaviors in established relationships, which might promote warmer, more accepting attitudes? If so, a relevant neuropsychoanalytic database for considering how rage figures in the genesis of depression could be constructed. This intriguing idea, concordant with Kernberg’s hypothesis, is that if one were able to pharmacologically diminish anger with such agents in adult relationships, the likelihood of separation would diminish, which would secondarily be prophylactic for the depressive cascade that emerges from the many social separations that arise from dysregulated anger in relationships. Since this kind of analysis is robustly linked to brain emotional systems that can be analyzed in some detail both in animal models and in human relationships, with unique neuropsychoanalytic implications, we would provisionally conclude that Kernberg’s hypothesis may be on the right track. Still, we should emphasize, as did Kernberg, how difficult it is to translate the affective dynamics arising in human relationships onto our emerging understanding of mammalian-brain emotional network functions. Thus, his commentary implicitly highlights a central dilemma for a neuropsychoanalytic enterprise. We hope that at some future time, Kernberg will share his clinical wisdom on how such linkages between brain and mind can be objectively enhanced, with enough operationalization of concepts that scientific observation can lead the empirical analyses. Although he may be right that at “this time psychoanalysis and neurobiology are still too far apart in their focus and methodology to permit any satisfactory integration,” we hope that our own Douglas F. Watt & Jaak Panksepp article has highlighted how that is possible in certain areas of thought, because affective neuroscience has illuminated the nature of certain universal primary-process affective mechanisms of the human/mammalian brain. Although Kernberg feels that such linkages are close to impossible, because complex mental processes have no one-to-one correspondence to specific neuralcircuit activities, in fact at the primary-process level there appear to be remarkable correspondences that can enhance neuropsychoanalytic analyses of phenomena as complex as romantic love (Yovell, 2008), empathy (Watt, 2007), and the pleasure principle (Johnson, 2008). In any event, we agree that most of Kernberg’s analysis is at a level of intersubjective psychological subtlety that cannot as readily be neurologized and has more immediately discernible psychotherapeutic implications than neuroscientific ones. At present, the current state of the art in the interdisciplinary endeavor known as “neuropsychoanalysis” is confronted by a host of human problems that cannot be readily neurologized. However, what affective neuroscience has offered is a reasonable strategy to finally analyze, with all the power of modern neuroscience, the linkages between primary emotional processes and the raw affective states in which Freud was so intensely interested. Using a dual-aspect monism strategy (Panksepp, 2005; Solms & Turnbull, 2002), we can, with considerable assurance, conclude that certain basic affective states arise from the same genetically provided neural circuits that control emotional instinctual action sequences (Panksepp, 2005, 2008). This was the level of analysis that constrained much of our own thought in the target article. However, Kernberg’s analysis coaxes us all to go to higher psychological levels (to deal with “psychological experiences that further augment the threat of social loss or psychological abandonment and constitute the psychodynamic disposition to depression,” where unique developmental and epigenetic landscapes of complex interpersonal interactions rule the day. These higher mind functions may lead to “pathological internalization of early object relations and their role in dysfunctional regulation of self-esteem.” It will be a great challenge for future neuropsychoanalysts to cultivate the neuroscientific as opposed to the metapsychological dimensions of such an important problem. To do that with any real efficacy, we will need a clearer image of scientific results already harvested from parent–infant interactions, especially studies that have accepted the complexity of the infant mind as being much more than the simplified reflex-learning machine that many have traditionally envisioned it to be. (A target article Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries along those lines could be profitably sought for this journal.) We would only briefly note that a growing number of such objective analyses are emerging from modern developmentalism, especially the more psychologically sensitive ones that Colwyn Trevarthen (2005) and his students (Trevarthen, Aitken, Vandekerckhove, Delafield-Butt, & Nagy, 2006; Trevarthen & Reddy, 2007) have revolutionized across the past few decades. For instance, remarkable treatises on such issues, such as the one just published by one of Trevarthen’s most revolutionary students, Vasu Reddy (2008), set a new standard for scientifically understanding the infant mind from a second-person, interactive perspective. New insights into better child-rearing practices have emerged from our understanding of the power of basic emotional systems and the intersubjective stance of the human infant (Sunderland, 2006). Regrettably, we do not have space here to adequately delve into such works, but neuropsychoanalysis will be well served to cultivate strong relationships with such emerging research traditions and the potential interfaces with animal models where the underlying brain networks can be studied in some detail. Response to Harold W. Koenigsberg’s commentary Early therapeutic strategies and options in relationship to separation-distress cascades—can we stop depression before it starts? We appreciate Harold Koenigsberg’s insightful analysis on how to push the evolutionary ideas we shared toward novel forms of evaluation and treatment. We agree, that this type of approach is of most importance whenever new theoretical syntheses are proposed. To some extent the idea has been already evaluated pharmacologically, since it has been known for some time that during prolonged separation, antidepressants such as imipramine keep animals in the protest phase longer (Panksepp et al., 1991), but so far this has only been evaluated in acute rather than chronic studies. Koenigsberg’s ideas on how to intervene early following social loss so as to prevent the onset of the separation-distress shutdown (SDS) mechanism is especially intriguing and appreciated. We strongly suspect that this could be achieved in part pharmacologically and in part psychotherapeutically, with appropriate synergisms between these two types of interventions. In this context, we would note that there are two distinct types of separation-distress shutdown 103 mechanisms—in other words, mechanisms that terminate the protest phase of separation distress. One mechanism appears to be clearly depression itself, while another, less appreciated one is based on the return of the objects (and associated neurochemistries) of affection, so that positive emotional homeostasis is re-established rapidly after the initial separation experience, preventing the affectively negative shutdown mechanism from having room to prevail. Here there is abundant room for new medicinal agents such as safe opioids like buprenorphine (Bodkin, Zornberg, Lukas, & Cole, 1995) and perhaps oxytocinergics, both of which dramatically soothe separation distress, to prevent the cascade of depression in a sense before it really gets started. One might also expect that the same agents could have efficacy in the chronic shutdown phase by directly promoting psychologically healing positive affect. Indeed, that is why we focused on the evidence that buprenorphine, at very low sublingual doses, looks as though it would be a rapid antidepressant. One might expect the same for oxytocin, but in a recent study that did not prove to be the case (Kose et al., 2008). Indeed, depressed males tended to be resistant to the prosocial effects of oxytocin that were evident in controls, which suggests that their depressive condition may have been accompanied by oxytocin receptor insensitivity. This is outwardly consistent with previous work indicating that young men who had lost parents when young exhibited diminished effects of intranasal oxytocin on plasma cortisol measures (Meinlschmidt & Heim, 2007). However, epigenetic mechanisms underpinning this have yet to be fully clarified, to our knowledge. Perhaps this kind of insensitivity is somehow part of the shutdown process itself, where active depressive affect (perhaps reflected in a dynorphin mediated shutdown of the seeking system) prevails in the mental apparatus. If so, it is still possible, as Koenigsberg notes, that oxytocin could have major benefits during the acute grief/mourning phase, especially in a therapeutic context. From our perspective the primary-process changes produced by oxytocin would be a reduction of separation distress (Panksepp, 1988, 1992), a decrease in various forms of aggression (McCarthy, Low, & Pfaff, 1992; Riters & Panksepp, 1997), and increased confidence (Panksepp, 2009a). All of these emotional changes could easily provide positive vectors for psychotherapeutic change especially in the context of clinical interventions that were attuned to the possibility of an SDS cascade. Indeed, the possibility that oxytocin might facilitate the psychotherapeutic enterprises is currently on many minds, but no relevant data yet exist. Lasting effects could be achieved by recontextualiz- 104 ing, and if one is burdened by painful social memories, might oxytocin mellow the ache and provide opportunities for reframing and recontextualizing those memories within a framework of greater social warmth and social connection? Might the memory-reconsolidation process, which can now be facilitated pharmacologically (Norberg, Krystal, & Tolin, 2008), be best achieved if one promotes oxytocinergic warmth and confidence, so that when past memories are reconsolidated one takes the edge off the distressing affective mixture that might otherwise lead to the SDS cascade? Very similar scenarios could be generated for endogenous opioids, perhaps even more so since opioids are fundamentally more powerful in promoting unconditional positive affect than are oxytocin. Panksepp’s lab repeatedly tried to obtain conditioned place preference (CPP) with oxytocin, but with no success (but see Liberszon, Trujillo, Akil, & Young, 1997) until they used a socially induced place-preference paradigm (Panksepp, Nelson, & Bekkedal, 1997) and found that oxytocin could facilitate the ongoing social-reward process. It is known that oxytocin can sustain opioid reward in the brain (Kovács, Sarnyai, & Szabó, 1998), and it remains possible that many of the positive hedonic effects of oxytocin are indirectly mediated by opioid amplification. Several subcortical sites are known to mediate opioid reward (Olmstead & Franklin, 1997) as well as opioid alleviation of separation distress (Herman & Panksepp, 1981). These considerations suggest a mix of possible poorly understood synergisms between opioids and oxytocin as well as some independent effects on critical separation-distress and bonding dynamics. The ability of oxytocin to reduce aggressiveness and increase social confidence is generally less well appreciated than the many other prosocial effects of oxytocin (increased maternal behavior, facilitation of social bonding, etc.: for summary see Nelson & Panksepp, 1998), so let us focus briefly on the relevant findings. It has long been known that male rodents exhibit less infanticide when treated with oxytocin (McCarthy, Low, & Pfaff, 1992). In a study of quail we saw provocative results suggesting vasotocin (the avian oxytocinergic) made quail more peaceful. Male quail are quite ready to peck each other’s heads in vying for dominance. If one male of a combatant pair was given intraventricular vasotocin, it showed very little aggression, taking each nasty peck in its stride (Riters & Panksepp, 1997). Usually those animals should become submissive, but remarkably when the male that had exhibited a peaceful attitude under vasotocin was given the control (placebo) solution, it promptly started to peck the other bird, making the other now assume a submissive posture. Very strange! It appears that all the earlier pecking Douglas F. Watt & Jaak Panksepp had had very little effect on the put-upon quail’s sense of dominance. Maybe the confidence those birds felt while under oxytocin, along with the anti-aggressive attitude, was sufficient to prevent the trauma received on previous sessions from consolidating a sustained submissive attitude. To directly evaluated oxytocin’s ability to promote confidence, Panksepp (unpublished data, 1988) contrasted groups of eight young chicks given intracerebral oxytocin or control solution, and they were placed under a bucket for a minute. When the bucket was lifted, the degree of interanimal dispersion was monitored as chickens exhibited their normal flock-linked foraging-exploratory patterns. Clearly, oxytocin animals seemed more confident, as those oxytocin-treated flocks gradually became more widely dispersed than controls. Clearly something like “confidence” seemed to be elevated by oxytocin. Might this be the underlying affective construct for the increased “trust” that has been seen in human investment studies after intranasal oxytocin (Baumgartner, Heinrichs, Vonlanthen, Fischbacher, & Fehr, 2008)? These kinds of primary-process psychological effects should be very beneficial to manipulate early in grief/trauma psychotherapy so as to recontextualize and reconsolidate memories that will tend to retard the SDS cascade toward depression. Indeed, we would not be surprised that if clinicians also took oxytocin, they might be more consistently in a better psychological frame of mind to really facilitate the psychotherapeutic process. In any event, the bottom line to this analysis, to which we appreciate Koenigsberg focusing our attention, is the possibility of using direct affective manipulations, early enough in the separation-distress cascade so as to forestall and possibly reverse the despair shutdown phase before it has consolidated into a more sustained and refractory psychological state. Response to Georg Northoff’s commentary Transitions from intersubjective relational coding to self-referential coding in depression Georg Northoff raises a critical conceptual issue and devilishly complex empirical issue in his inquiry about the relationship between psychoneurological integration between the brain coding of external stimuli and internal network dynamics—between cognitive inputs from the world and, in our terms, the degree to which affective consciousness rules the mental apparatus. As Northoff knows as well as anyone, we are here in the domain of high theory—hopefully with empirical Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries implications—rather than the land of mundane data harvesting. His own discovery of high resting-state activity in cortical midline structures (CMS) in the depressed state is one of the most important discoveries of what happens within the depressed brain when it falls under the dominion of internal negative feelings as opposed to sustaining a balance of well-regulated, mental-health-promoting intersubjective domains of social interchange. Unfortunately, except for select areas such as fear conditioning in animal models, we do not yet know empirically how inputs from our external senses control the evolved affective powers of our minds. For fearfulness, there does seem to be a cascade from higher deliberative regions of the frontal lobes, especially medial frontal regions, when danger is far, to a rapid arousal of lower brain regions, such as the periaqueductal gray, when threat is imminent (Mobbs et al., 2007). How does healthy social interchange, anchored in a cognitive locus of control (preciously patched together by early developmental landscapes), regulate deeper affective domains where the intensity of negative affect is most intense? Northoff has provided one vision of such interactions, and we would share a complementary view based on how we envision raw affects to be organized within the deeper, subcortical regions of the brain. What does it mean to have an emotional affect? In our view, this surely has to reflect a large-scale network dynamic, with a primordial subcortical locus of control/activation. We do not have good neuroscientific techniques yet to study such network properties of the brain. Perhaps modern brain imaging currently gives us the best estimates of the cognitive variants, but those impressive tools are not quite as effective for envisioning subcortical affective variants where the frequencies of action potentials are low, and often systems can release neurotransmitters (e.g., dopamine) largely by changes in the patterning rather than the overall frequency of action potentials. Since modern brain imaging techniques sense metabolic changes provoked largely by energy consumption from changing frequencies of action potentials and associated glial metabolic support systems, those techniques are often “blind” to envisioning the more ancient affective brain mechanisms where the power of neuromodulators such as neuropeptides are more important than changes in the fast transmission properties of glutamatergic, GABAergic and related rapidly firing cortico-cognitive brain systems. Without additional fine neuroscience techniques, similar to those that allowed the “neuron doctrine” to rule neuroscientific thinking, it is difficult to craft an objective neuroscientific database for understanding 105 the large-scale network dynamics that apparently control the endogenous subcortical functions of the affective brain/mind. Currently the best metaphors we have for these large-scale network dynamics that we cannot yet measure objectively are “attractor landscapes” and other concepts from nonlinear dynamics (Freeman, 2003; Lewis, 2005; Panksepp, 2000). Unfortunately, no one has yet cashed out such metaphors with robust and understanding-illuminating research programs, as least with respect to emotion (Freeman, 1991, has done so with respect to olfaction). Until tools to monitor such ancient affective network dynamics are developed, the very best measures of the brain’s own internal processes (the evolved tools for living) that we have are the instinctual emotional behaviors (distinct action patterns) upon which the affective neuroscience approach for decoding the primary-process affective mind is based (Panksepp, 2005). This blessing—the correspondence between internal affective brain network dynamics we cannot yet directly observe and the emotional action patterns that we can—has allowed rapid scientific progress in decoding the neural nature of the raw affects (Panksepp, 1982, 1998, 2008). There is no better tool than a good “proxy,” both in affective neuroscience as well as in many kinds of biochemical research (e.g., measuring chemicals via their absorbance and emission spectra). In other words, one does not have to understand a whole brain/mind network before one can begin to make substantial progress in understanding what various functional networks do. Furthermore, behavioral neuroscience has had one robust tool for looking at the interface of cognitive sensory inputs and complex evolutionarily provided internal networks dynamics for some time through the highly reliable procedures of Pavlovian classical conditioning. The regrettable aspect of this analysis is that the majority of investigators have devoted most of their time to evaluating how conditional stimuli (cognitive inputs from the world) modulate the development of conditioned responses (e.g., LeDoux, 1996) while ignoring the critical nature of the large-scale unconditioned responses (UCRs) that “motivate” the conditioning. UCRs are typically simply accepted as “givens,” which they are, but the whole terrain of affective internal structures is hidden within this internal domain that behaviorism largely ignored. One goal of affective neuroscience was to rectify that flaw, and now instead of a variety of unconditioned and conditioned “outputs” of fear conditioning, we have a vision of an integrated unconditional FEAR system, and other basic emotional networks (Panksepp, 1998). Regrettably, a more complete answer to Northoff’s question 106 has been delayed because the neurobehaviorists avoid conceptualizing and studying the nature of their UCRs and, thereby, avoid any talk about the real, evolved emotional processes of the mammalian brain. In any event, classical conditioning provides an effective empirical model for addressing the central question that Northoff poses, and it provides a robust way to study systematically how conditioned triggers can control the large-scale neurodynamics of emotional primes within the brain, just as flicks of a light switch can illuminate vast spaces of our external environments. There is insufficient space here to detail the extensive and highly relevant literature, but for simplicity we can now envision how in the emergence of “normal-healthy” minds, various cognitive trigger points can guide emotional dynamics almost like a modest cognitive touch on the steering wheel of your car can guide the many horses of your automotive engine. It is when massive stressful learning experiences, or the disconnection of the affective engines from cognitive controls, emerge that psychopathologies like depression move into a ruling position within the mental apparatus, and one begins to drown in unbearable affect. Because neurobehaviorism was so fascinated by learning rather than the internal organization of the brain, we now know a great deal about how such nodes of learning emerge from the biochemical changes shaping the formation of “Hebbian synapses.” As Georg Northoff knows as well as anyone, some kind of self-referential information processing, where core-self structures situated at the midline of the brain evaluate external stimulus inputs, presently provides a coherent vision for how the external world, through sensory portals, interacts with the internal world of affective dynamics (Northoff & Panksepp, 2008; Northoff et al., 2006; Panksepp & Northoff, 2009). Once we can develop good and synergistic human and animal models to study such brain dynamics, will we have good answers to the critically important questions Northoff has posed? His own provisional answer to his question is quite similar to our own, except he may still be envisioning emotions in more traditional cognitive-neuroscience types of information-processing terms than do we. For us, the internal network dynamics of emotional affects have little resemblance to the “information-processing modules” so popular in cognitive neuroscience (Panksepp, 2003b). However, it is now well known that under normal psychological circumstances, high-cognitive information-processing activities are quite effective in suppressing ancient limbic–affective network functions (Liotti & Panksepp, 2004; Northoff et al., 2004). This may help explain Douglas F. Watt & Jaak Panksepp how diminished higher control of affective energies may often be effectively restored by therapies that focus on mindfulness and various cognitive-behavioural interventions. So let us extend our brief response to Northoff’s seminal question one additional step into the realm of psychotherapeutics and affect management, topics we have discussed at some length elsewhere (Panksepp, 2009b; Watt, 2007). Various novel psychotherapeutic practices may emerge from a better understanding of the core affects and other UCRs in guiding the formation, framing, and retrieval of memories that may be of use for the development of new variants of “affective balance therapies” (Panksepp, 2009b). This may arise from our new scientific understanding of how flexible past memories—both ordinary and traumatic—are to reconsolidation, especially after they have been retrieved into active memory stores (Norberg, Krystal, & Tolin, 2008). One goal of posttraumatic-stress disorder management—in addition to the softening of other horrendous memories that promote garden-variety anxieties and depressions—might be the psychotherapeutic (1) recontextualization, (2) affective reframing, and (3) subsequent reconsolidation of memories into a softened, more positive, affective surround. For instance, if we envision cognitions to be “dimples” (small wavelets) on the large-scale attractor landscapes of emotional-affective network dynamics, might it be useful, in the safety of supportive psychotherapeutic environments, to reactivate traumatic memories promptly after which one generates positive emotional states that can provide a reconsolidated recontextualization of those horrendous, joy-sapping, memories? For instance, we envision that if the spontaneous or therapist-facilitated retrieval of a traumatic memory is fully accepted in a warm and supportive environment, and the therapist were to actively seek to activate a powerful countervailing affect, such as a joyful-PLAYful state, promptly after the power of the traumatic memory had run its course, then the traumatic memory might be reconsolidated in a more gentle, life-affirming way. The affective valence of the memory will not have fundamentally changed (one does not, generally speaking, turn a traumatic memory into a positive one), but its power to activate unrestrained negative emotion is fundamentally modulated and inhibited, and disconnected islands of affective trauma are turned into a coherent narrative now told with an empathy for the self that was previously lacking, leaving the knowledge of one’s lot in life embedded in a gentler nest of affective acceptance and understanding. In this way, the client may be saved from being immersed in oceanic and Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries extremely painful affects and drawn back to the safety of a positive, cognitively reframed shoreline. This kind of work could clearly be modeled in animals, using creative methodologies, if investigators could be less impressed by our obvious cognitive differences with our mammalian cousins and more impressed by our deeper affective similarities. In sum We deeply appreciate the participation of all the commentators in this discussion, as well as their many thoughtful comments and challenges. Clearly, depression is a multidimensional disorder that is reflected at all levels of mind/brain organization. Future progress in the field will need better integration among all the levels, from the basic neuroscience of emotional processes to the many regulatory influences of higher mental processes as well as the physiological wisdom of the body. REFERENCES Alcaro, A., Huber, R., & Panksepp, J. (2007). Behavioral functions of the mesolimbic dopaminergic system: An affective neuroethological perspective. Brain Research Reviews, 56: 283–321. Alvaro, G., & Di Fabio, R. (2007). Neurokinin 1 receptor antagonists—current prospects. Current Opinion in Drug Discovery and Development, 10 (5): 613–21. Anderson, R. M., Barger, J. L., Edwards, M. G., Braun, K. H., O’Connor, C. E., Prolla, T. A., et al. (2008). Dynamic regulation of PGC-1alpha localization and turnover implicates mitochondrial adaptation in calorie restriction and the stress response. Aging Cell, 7: 101–111. Baumgartner, T., Heinrichs, M., Vonlanthen, A., Fischbacher, U., & Fehr, E. (2008). Oxytocin shapes the neural circuitry of trust and trust adaptation in humans. Neuron, 58: 639–650. Bodkin, A., Zornberg, G. L., Lukas, S. E., & Cole, J. O. (1995). Buprenorphine treatment of refractory depression. Journal of Clinical Psychopharmacology, 15: 49–57. Bowlby, J. (1980). Attachment and Loss, Vol. 3. Loss: Sadness and Depression. New York: Basic Books. Carter, C. S. (1998). Neuroendocrine perspectives on social attachment and love. Psychoneuroendocrinology, 23: 779– 818. Carter, C. S., Lederhendler, I., & Kirkpatrick, B. (Eds.) (1999). The Integrative Neurobiology of Affiliation. Cambridge, MA: MIT Press. Cho, H. J., Lavretsky, H., Olmstead, R., Levin, M. J., Oxman, M. N., & Irwin, M. R. (2008). Sleep disturbance and de- 107 pression recurrence in community-dwelling older adults: A prospective study. American Journal of Psychiatry, 165 (12): 1543–1550. Freeman, W. J. (1991). The physiology of perception. Scientific American, 264 (2): 78–85. Freeman, W. J. (2003). Neurodynamic models of brain in psychiatry. Neuropsychopharmacology, 28 (Suppl. 1): 54–63. Gregg, T. R., & Siegel, A. (2001). Brain structures and neurotransmitters regulating aggression in cats: Implications for human aggression. Progress in Neuropsychopharmacology & Biological Psychiatry, 25: 91–140. Harlow, H. F. (1962). Development of affection in primates. In: Roots of Behavior, ed. E. L. Bliss. New York: Harper, pp. 157–166. Herman, B. H., & Panksepp, J. (1981). Ascending endorphinergic inhibition of distress vocalization. Science, 211: 1060– 1062. Ikemoto, S., & Panksepp, J. (1999). The role of nucleus accumbens dopamine in motivated behavior: A unifying interpretation with special reference to reward-seeking. Brain Research Reviews, 31: 6–41. Johnson, B. (2008). Just what lies “beyond the pleasure principle”? Neuropsychoanalysis, 10 (2): 201–212. Keller, M. C., & Nesse, R. M. (2006) The evolutionary significance of depressive symptoms: Different adverse situations lead to different depressive symptom patterns. Journal of Personality and Social Psychology, 91: 316–330. Kose, S., Pincus, D. I., Arana, A., Johnson, K. A., Anderson, B. S., Morgan, P., et al. (2008). Oxytocin for treating depression: A double blind placebo controlled neuroimaging study. Biological Psychiatry, 63. Kovács, G. L., Sarnyai, Z., & Szabó, G. (1998). Oxytocin and addiction: A review. Psychoneuroendocrinology, 23: 945–962. Kramer, M. S., Winokur, A., Kelsey, J., Preskorn, S. H., Rothschild, A. J., Snavely, D., et al. (2004). Demonstration of the efficacy and safety of a novel substance P (NK1) receptor antagonist in major depression. Neuropsychopharmacology, 29: 385–392. Krueger, J. M., Rector, D. M., Roy, S., Van Dongen, H. P., Belenky, G., & Panksepp, J. (2008). Sleep as a fundamental property of neuronal assemblies. Nature Reviews. Neuroscience, 9: 910–919. LeDoux, J. (1996). The Emotional Brain. New York: Simon & Schuster. Lewis, M. D. (2005). Bridging emotion theory and neurobiology through dynamic systems modeling. Behavioral & Brain Sciences, 28: 169–194. Liberzon, I., Trujillo, K. A., Akil, H., & Young, E. A. (1997). Motivational properties of oxytocin in the conditioned place preference paradigm. Neuropsychopharmacology, 17: 353– 359. Liotti, M., & Panksepp, J. (2004). Imaging human emotions and affective feelings: Implications for biological psychiatry. In: Textbook of Biological Psychiatry, ed. J. Panksepp. Hoboken, NJ: Wiley, pp. 33–74. McCarthy, M. M., Low, L. M., & Pfaff, D. W. (1992). Specula- 108 tions concerning the physiological significance of central oxytocin in maternal behavior. Annals of the New York Academy of Sciences, 652: 70–82. Meinlschmidt, G., & Heim, C. (2007). Sensitivity to intranasal oxytocin in adult men with early parental separation. Biological Psychiatry, 61: 1109–1111. Mobbs, D., Petrovic, P., Marchant, J. L., Hassabis, D., Weiskopf, N., Seymour, B., et al. (2007). When fear is near: Threat imminence elicits prefrontal–periaqueductal gray shifts in humans. Science, 317: 1079–1083. Nelson, E. E., & Panksepp, J. (1998). Brain substrates of infant–mother attachment: Contributions of opioids, oxytocin, and norepinephrine. Neuroscience & Biobehavioral Reviews, 22: 437–452. Norberg, M. M., Krystal, J. H., & Tolin, D. F. (2008). A meta-analysis of D-cycloserine and the facilitation of fear extinction and exposure therapy. Biological Psychiatry, 63: 1118–1126. Northoff, G., Heinzel, A., Bermpohl, F., Niese, R., Pfennig, A., Pascual-Leone, A., et al. (2004). Reciprocal modulation and attenuation in the prefrontal cortex: An fMRI study on emotional–cognitive interaction. Human Brain Mapping, 21: 202–212. Northoff, G., Heinzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., & Panksepp, J. (2006). Self referential processing in our brain: A meta-analysis of imaging studies of the self. NeuroImage, 31: 440–457. Northoff, G., & Panksepp, J. (2008). The trans-species concept of self and the subcortical-cortical midline system. Trends in Cognitive Sciences, 12: 259–264. Olmstead, M. C., & Franklin, K. B. (1997). The development of a conditioned place preference to morphine: Effects of microinjections into various CNS sites. Behavioral Neuroscience, 111: 1324–1334. Panksepp, J. (1981). Brain opioids: A neurochemical substrate for narcotic and social dependence. In: Progress in Theory in Psychopharmacology, ed. S. Cooper. London: Academic Press, pp. 149–175. Panksepp, J. (1982). Toward a general psychobiological theory of emotions. Behavioral and Brain Sciences, 5: 407–467. Panksepp, J. (1986). The anatomy of emotions. In: Emotion: Theory, Research and Experience, Vol. 3. Biological Foundations of Emotions, ed. R. Plutchik. Orlando, FL: Academic Press, pp. 91–124. Panksepp, J. (1988). Posterior pituitary hormones and separation distress in chicks. Neuroscience Abstracts, 14: 287. Panksepp, J. (1992). Oxytocin effects on emotional processes: Separation distress, social bonding, and the relationships to psychiatric disorders. Annals of the New York Academy of Sciences, 652: 243–252. Panksepp, J. (1998). Affective Neuroscience. New York: Oxford University Press Panksepp, J. (2000). The neurodynamics of emotions: An evolutionary-neurodevelopmental view: In: Emotion, SelfOrganization, and Development, ed. M. D. Lewis & I. Granic. New York: Cambridge University Press, pp. 236– 264. Panksepp, J. (2003a). Can anthropomorphic analyses of “sepa- Douglas F. Watt & Jaak Panksepp ration cries” in other animals inform us about the emotional nature of social loss in humans? Psychological Reviews, 110: 376–388. Panksepp, J. (2003b). At the interface between the affective, behavioral and cognitive neurosciences: Decoding the emotional feelings of the brain. Brain and Cognition, 52: 4–14. Panksepp, J. (2005). On the embodied neural nature of core emotional affects. Journal of Consciousness Studies, 12, 161–187. Panksepp, J. (2006). Emotional endophenotypes in evolutionary psychiatry. Progress in Neuropsychopharmacology and Biological Psychiatry, 30: 774–784. Panksepp, J. (2008). The affective brain and core-consciousness: How does neural activity generate emotional feelings? In: Handbook of Emotions, ed. M. Lewis, J. M. Haviland, & L.F. Barrett. New York: Guilford Press, pp. 47–67. Panksepp, J. (2009a). Primary process affects and brain oxytocin. Biological Psychiatry, 65. Panksepp, J. (2009b). Brain emotional systems and qualities of mental life: From animal models of affect to implications for psychotherapeutics. In: The Healing Power of Emotion: Affective Neuroscience, Development, and Clinical Practice, ed. D. Fosha, D. J. Siegel, & M. F. Solomon. New York: W. W. Norton. Panksepp, J., Burgdorf, J., Beinfeld, M. C., Kroes, R., & Moskal, J. (2007). Brain regional neuropeptide changes resulting from social defeat. Behavioral Neuroscience, 121: 1364–1371. Panksepp, J., & Moskal, J. (2008). Dopamine and SEEKING: Subcortical “reward” systems and appetitive urges. In: Handbook of Approach and Avoidance Motivation, ed. A. Elliot. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 67–87. Panksepp, J., Moskal, J., Panksepp, J. B., & Kroes, R. (2002). Comparative approaches in evolutionary psychology: Molecular neuroscience meets the mind. Neuroendocrinology Letters, 23 (Suppl. 4): 105–115. Panksepp, J., Nelson, E., & Bekkedal, M. (1997). Brain systems for the mediation of social separation-distress and social-reward: Evolutionary antecedents and neuropeptide intermediaries. Annals of the New York Academy of Sciences, 807: 78–100. Panksepp, J., Nocjar, C., Burgdorf, J., Panksepp, J. B., & Huber, R. (2004). The role of emotional systems in addiction: A neuroethological perspective. In: 50th Nebraska Symposium on Motivation: Motivational Factors in the Etiology of Drug Abuse, ed. R. A. Bevins & M. T. Bardo. Lincoln, NB: University of Nebraska Press, pp. 85–126. Panksepp, J., & Northoff, G. (2009). The trans-species core self: The emergence of active cultural and neuro-ecological agents through self related processing within subcorticalcortical midline networks. Consciousness & Cognition, 18: 193–215.. Panksepp, J., Siviy, S. M., & Normansell, L. A. (1985). Brain opioids and social emotions. In: The Psychobiology of Attachment and Separation, ed. M. Reite & T. Fields. New York: Academic Press, pp. 3–49. Panksepp, J., Yates, G., Ikemoto, & Nelson, E. (1991). Simple Depression: An Evolutionarily Conserved Mechanism? • Response to Commentaries ethological models of depression: Social-isolation induced “despair” in chicks and mice. In: Animal Models in Psychopharmacology, ed. B. Olivier & J. Moss. Holland: Duphar, pp. 161–181. Reddy, V. (2008). How Infants Know Minds. Cambridge, MA: Harvard University Press. Riters, L. V., & Panksepp, J. (1997). Effects of vasotocin on aggressive behavior in male Japanese quail. Annals of the New York Academy of Sciences, 807: 478–480. Shively, C. A., Musselman, D. L., & Willard, S. L. (2009). Stress, depression, and coronary artery disease: Modeling comorbidity in female primates. Neuroscience and Biobehavioral Reviews, 33: 133–144. Solms, M., & Turnbull, O. (2002). The Brain and the Inner World: An Introduction to the Neuroscience of Subjective Experience. New York: Other Press. Sunderland, M. (2006). The Science of Parenting. New York: Dorling Kindersley Trevarthen, C. (2005). First things first: Infants make good use of the sympathetic rhythm of imitation, without reason or language. Journal of Child Psychotherapy, 31: 91–113. Trevarthen, C., Aitken, K. J., Vandekerckhove, M., DelafieldButt, J., & Nagy, E. (2006). Collaborative regulations of vitality in early childhood: Stress in intimate relationships and postnatal psychopathology. In: Developmental Psychopathology, Vol. 2: Developmental Neuroscience, ed. D. Cicchetti. New York: Wiley, pp. 65–126. 109 Trevarthen, C., & Reddy, V. (2007). Consciousness in infants. In: The Blackwell Companion to Consciousness, ed. M. Velmans & S. Schneider. Oxford: Blackwell, pp. 41–58. Tsiouris, J. (2005). Metabolic depression in hibernation and major depression: An explanatory theory and an animal model of depression. Medical Hypotheses, 65 (5): 829–840. Volkow, N. D., & Li, T. K. (2004). Drug addiction: The neurobiology of behavior gone awry. Nature Reviews. Neuroscience, 5: 963–970. Watson, J. B. (1928). Psychological Care of Infant and Child. Philadelphia: J. B. Lippincott. Watt, D. F. (2007). Empathy—integrating cognitive and affective perspectives. Neuropsychoanalysis, 9 (2): 119–140. Williams, L. S., Jones, W. J., Shen, J., Robinson, R. L., Weinberger, M., & Kroenke, K. (2003). Prevalence and impact of depression and pain in neurology outpatients. Journal of Neurology, Neurosurgery, and Psychiatry, 74: 1587–1589. Ye, J. H., Tao, L., & Zalcman, S. S. (2001). Interleukin-2 modulates N-methyl-D-aspartate receptors of native mesolimbic neurons. Brain Research, 894: 241–248. Yovell, Y. (2008). Is there a drive to love? Neuropsychoanalysis, 10 (2): 117–144, 183–188. Zubieta, J. K., Ketter, T. A., Bueller, J. A., Xu, Y., Kilbourn, M. R., Young E. A., et al. (2003). Regulation of human affective responses by anterior cingulate and limbic muopioid neurotransmission. Archives of General Psychiatry, 60: 1145–1153.
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