Neuropharmacology 52 (2007) 215e227 www.elsevier.com/locate/neuropharm Long-term potentiation in the amygdala: A cellular mechanism of fear learning and memory Torfi Sigurdsson a,*, Valérie Doyère a,b, Christopher K. Cain a, Joseph E. LeDoux a a Center for Neural Science, New York University, 4 Washington Place, Room 809, New York, NY 10003, USA b NAMC, CNRS-UMR8620, Univ. Paris-Sud, 91504 Orsay, France Received 23 May 2006; received in revised form 27 June 2006; accepted 28 June 2006 Abstract Much of the research on long-term potentiation (LTP) is motivated by the question of whether changes in synaptic strength similar to LTP underlie learning and memory. Here we discuss findings from studies on fear conditioning, a form of associative learning whose neural circuitry is relatively well understood, that may be particularly suited for addressing this question. We first review the evidence suggesting that fear conditioning is mediated by changes in synaptic strength at sensory inputs to the lateral nucleus of the amygdala. We then discuss several outstanding questions that will be important for future research on the role of synaptic plasticity in fear learning. The results gained from these studies may shed light not only on fear conditioning, but may also help unravel more general cellular mechanisms of learning and memory. Ó 2006 Elsevier Ltd. All rights reserved. Keywords: Long-term potentiation; Amygdala; Fear conditioning; Memory; Learning; Plasticity 1. Introduction: A cellular hypothesis of fear conditioning Long-term potentiation (LTP) has received a tremendous amount of attention in the roughly 30 years since it was first described by Bliss and Lomo (1973). This interest has been fueled to a large degree by the widely held hypothesis that learning and memory is mediated by changes in the strength of synapses in neural circuits. According to this hypothesis, neural activity during learning gives rise to long-term changes in synaptic strength, which allows memories to be stored and later retrieved (Martin et al., 2000). Several properties of LTP have made it an attractive experimental model for studying such synaptic changes. First, LTP is a persistent increase in synaptic strength, making it a suitable mechanism for long-term memory storage. Second, LTP is associative in that its induction typically requires coincident pre-and postsynaptic activity, making it suitable for encoding associations in the external world * Corresponding author. Tel.: þ1 212 998 3624; fax: þ1 212 995 4704. E-mail address: [email protected] (T. Sigurdsson). 0028-3908/$ - see front matter Ó 2006 Elsevier Ltd. All rights reserved. doi:10.1016/j.neuropharm.2006.06.022 (Hebb, 1949). Finally, LTP is input-specific, which is likely to increase the storage capacity of neural circuits that are capable of LTP. Taken together, these properties lend face validity to the hypothesis that LTP-like changes underlie learning and memory (Bliss and Collingridge, 1993; Martin et al., 2000). Much of the research on LTP has been aimed at elucidating its physiological and molecular mechanisms, with a considerable degree of success (reviewed in Bliss and Collingridge, 1993; Malenka and Nicoll, 1999; Malenka and Bear, 2004). However, demonstrating experimentally that LTP-like changes underlie learning and memory has proven more elusive. This is partly due to our incomplete understanding of the synaptic organization of many memory circuits in the brain, making it difficult to relate synaptic changes in these circuits to changes in behavior. For example, while LTP is best understood at the cellular and molecular levels in the hippocampus, the relationship of hippocampal circuits and synapses to the complex memory functions of the hippocampus is poorly understood. This suggests that simple forms of learning may be more suited to the task of relating LTP to learning and memory (Barnes, 1995; Stevens, 1998; Martin et al., 2000; Kandel, 2001). 216 T. Sigurdsson et al. / Neuropharmacology 52 (2007) 215e227 In this article, we will first describe how fear conditioning, a simple form of associative learning whose underlying neural circuitry is relatively well understood, is likely to prove useful in the effort to relate LTP to learning and memory. We then review the evidence supporting the hypothesis that fear conditioning is mediated by LTP-like synaptic changes at sensory inputs to the lateral amygdala (LA). Finally, we discuss some outstanding questions raised by these findings that will be important for future research. 1.1. What is fear conditioning? Fear conditioning is a form of associative learning in which an animal learns to associate a stimulus with danger. In a typical fear conditioning experiment, an initially neutral conditioned stimulus (CS), usually a tone, is paired in time with an aversive unconditioned stimulus (US), typically a mild footshock. As a result, the CS comes to elicit defensive or fear responses, such as freezing, when presented alone. Thus, fear conditioning enables animals to predict and avoid dangerous situations and is therefore crucial to survival. Not surprisingly, fear conditioning is a highly conserved form of learning that is observed in a variety of species ranging from snails to humans (LeDoux, 1994). Besides being of interest in its own right, especially as a model of pathological emotional states, several features make fear conditioning a particularly attractive model for studying the neural mechanisms of learning and memory. Fear conditioning is both rapidly acquired, often following only a single CSeUS pairing, and produces very long-lasting memories. Furthermore, the induction and expression of fear conditioning is under the control of discrete stimuli, the CS and the US, which can be easily controlled by the experimenter. Many different kinds of stimuli can serve as the CS, such as lights, odors and tones, as well as the context in which conditioning occurs. In this review, however, unless otherwise noted we will restrict our discussion to auditory fear conditioning, which is the most commonly studied, and as a consequence the best understood. et al., 1999; Pitkanen, 2000). The central nucleus, in turn, projects out of the amygdala to areas of the brainstem and hypothalamus that control the expression of defensive behaviors, hormonal secretions and autonomic responses (Fig. 1; LeDoux et al., 1988; Davis, 2000; for a more detailed overview of amygdala anatomy, see Pitkanen, 2000). Consistent with the anatomical data, lesioning or functionally inactivating the LA prior to training has consistently been observed to cause deficits in fear conditioning (LeDoux et al., 1990b; Helmstetter and Bellgowan, 1994; Campeau and Davis, 1995b; Muller et al., 1997; Wilensky et al., 1999; Amorapanth et al., 2000; Goosens and Maren, 2001; Nader et al., 2001), suggesting that the LA is intimately involved in the formation and storage of conditioned fear memories (LeDoux, 2000; Maren, 2001). Although our review will focus on how this form of learning is mediated by local synaptic changes within the LA, we would like to emphasize that it is not our intention to argue that the LA is the only site of storage of auditory fear memories. Other nuclei of the amygdala may also be involved, such as the basal and central nuclei (Pare et al., 2004; Anglada-Figueroa and Quirk, 2005), as well as structures outside the amygdala such as the auditory thalamus 1.2. The neural circuitry of fear conditioning It has been known for some time that the amygdala, a group of nuclei situated in the temporal lobe, is a critical component of the fear conditioning circuitry (LeDoux, 2000; Maren, 2001). Auditory and somatosensory information representing the CS and US, respectively, reaches the lateral nucleus of the amygdala (LA) from both thalamic (LeDoux et al., 1984, 1990a,b; Turner and Herkenham, 1991; Doron and LeDoux, 2000; Linke et al., 2000) and cortical (Mascagni et al., 1993; Romanski and LeDoux, 1993a; Shi and Cassell, 1997; McDonald, 1998) sources. Within the LA, individual neurons respond to both auditory and somatosensory stimuli (Romanski et al., 1993b), suggesting convergence of CS and US inputs at the cellular level. Sensory information from the LA is then relayed to the central nucleus, both directly and indirectly via the basal, accessory basal, and intercalated nuclei (Royer Fig. 1. Neural circuits underlying auditory fear conditioning. Auditory fear conditioning is a form of associative learning in which an initially neutral conditioned stimulus (CS), such as a tone, acquires emotional significance after being paired in time with an aversive unconditioned stimulus (US), such as footshock. The circuits mediating auditory fear conditioning in rats consist of CS (auditory) and US (somatosensory) inputs that converge onto single neurons in the lateral nucleus of the amygdala (LA). The LA then projects to the central nucleus of the amygdala (CE) both directly and by way of other amygdala regions (not shown). Outputs of the CE in turn control the expression of fear responses (such as freezing behavior) and related autonomic nervous system (blood pressure and heart rate) and endocrine (pituitary-adrenal hormones) responses, via projections to the brainstem and hypothalamus. CG, central grey; LH, lateral hypothalamus; PVN, paraventricular hypothalamus. Figure adapted with permission from Medina et al. (2002). We emphasize, however, that this account of amygdala anatomy is simplified for the purposes of the present discussion; for a more detailed overview, see Pitkanen (2000). T. Sigurdsson et al. / Neuropharmacology 52 (2007) 215e227 and cortex (Quirk et al., 1997; Armony et al., 1998; Weinberger, 2004; Apergis-Schoute et al., 2005). Our focus on the LA largely reflects the fact that it is the most extensively studied region of the amygdala and its role in fear conditioning is the best understood. 1.3. A cellular hypothesis of fear conditioning The relative simplicity of the fear conditioning circuitry makes it possible to propose a specific hypothesis about how synaptic plasticity might underlie this form of learning. According to this cellular hypothesis, fear conditioning is mediated by an increase in the strength of synapses that transmit CS information to principal neurons in the LA (Rogan and LeDoux, 1995; Rogan et al., 1997, 2001; LeDoux, 2000; Blair et al., 2001; Maren, 2001). The hypothesis assumes that prior to conditioning, the CS inputs are relatively weak and as a result the CS is unable to elicit fear responses. In contrast, the US inputs are stronger and capable of eliciting robust responses in LA neurons. Because CS and US inputs converge onto LA neurons (Romanski et al., 1993b), during fear conditioning the CS inputs are active during strong postsynaptic depolarization caused by the US. As a result, the CS inputs become stronger, making the CS more effective at driving LA neurons, which in turn can drive downstream structures that control fear responses such as the central nucleus (Blair et al., 2001). The cellular hypothesis of fear conditioning makes several testable predictions. First, it predicts that responses of LA neurons to a CS should increase during fear conditioning. Second, auditory inputs onto neurons in the LA should be capable of associative LTP. Third, fear conditioning ought to cause LTP-like changes at these synapses. And fourth, blocking synaptic plasticity in the LA should impair fear conditioning. We will now review the evidence addressing each of these predictions. 2. Evidence supporting the cellular hypothesis of fear conditioning 2.1. CS-evoked responses in the LA increase during fear conditioning If fear conditioning is mediated by an increase in the strength of synapses that carry auditory (CS) information to the LA, one would expect to observe an enhancement in the responses of LA neurons to a CS during the course of fear learning. To date, this prediction has been confirmed by a number of studies that have recorded either field potential or single-unit responses in the LA during fear conditioning (Quirk et al., 1995; Rogan et al., 1997; Collins and Pare, 2000; Repa et al., 2001; Goosens et al., 2003) or intracellular responses during CSeUS pairings (using an odor CS) in anesthetized animals (Rosenkranz and Grace, 2002). These studies have found that neural responses increase in magnitude to a CS that is paired with a US but not to a CS that is presented in the absence of the US. This suggests that plasticity in the LA during fear conditioning specifically encodes the CSeUS association. Importantly, the expression of this plasticity is not contingent 217 on the behavioral expression of fear, ruling out the possibility that the enhanced CS responses simply reflect the behavioral state of the animal (Goosens et al., 2003). Although these results are consistent with changes in the synaptic strength of sensory inputs onto LA neurons, others have suggested that enhanced CS responses may simply reflect plasticity in structures upstream of the LA, such as the auditory thalamus (Cahill et al., 1999). However, several findings argue against this possibility. First, plasticity of CS responses develops more rapidly in the LA than in the auditory thalamus (Repa, 2002) or auditory cortex (Quirk et al., 1997). Second, local pharmacological manipulations in the LA that impair fear conditioning have been shown to reduce the enhancement of CS responses in the LA but not in the auditory thalamus (Schafe et al., 2005). These results strongly suggest that plasticity of CS responses recorded in the LA reflects, at least in part, local synaptic changes within the LA. Interestingly, lesions or functional inactivation of the amygdala prior to fear conditioning interferes with the enhancement of CS responses in the auditory thalamus (Poremba and Gabriel, 1997; Maren et al., 2001) and cortex (Armony et al., 1998), further arguing against the possibility that conditioning-induced plasticity in the LA simply reflects changes at afferent structures. 2.2. LTP occurs at auditory input synapses in LA Synapses that transmit auditory information to the LA are capable of LTP whose basic features make it an attractive cellular model of fear learning and memory. LTP has been demonstrated following tetanic (high-frequency) stimulation of auditory thalamic inputs in vivo in anesthetized animals (Clugnet and LeDoux, 1990; Rogan and LeDoux, 1995; Yaniv et al., 2001) and at both thalamic and cortical inputs in awake freely behaving animals (Doyère et al., 2003). LTP can also be induced at the two inputs in vitro by tetanizing the internal and external capsules, the putative sources of thalamic and cortical auditory inputs to the LA (Chapman and Bellavance, 1992; Huang and Gean, 1994; Watanabe et al., 1995; Huang and Kandel, 1998; Weisskopf et al., 1999b). LTP can also be induced in the LA in vitro by pairing weak presynaptic stimulation with strong postsynaptic depolarization (Weisskopf and LeDoux, 1999a; Huang et al., 2000; Tsvetkov et al., 2004; Humeau et al., 2005). This ‘pairing protocol’ is particularly relevant in the present context, because it can model the activity patterns that are thought to give rise to fear conditioning. As we mentioned earlier, coactivation of CS and US inputs onto LA neurons during fear conditioning is hypothesized to cause strengthening of the CS inputs through an associative mechanism (Blair et al., 2001). In the pairing protocol, the weak presynaptic stimulation can represent the CS, whereas the strong postsynaptic depolarization can represent the US. The observation that this pairing protocol induces LTP at auditory inputs onto LA neurons suggests that this may be a suitable mechanism for encoding CSeUS associations. Associative LTP can also be induced in the LA by simultaneously stimulating the thalamic and cortical auditory inputs. 218 T. Sigurdsson et al. / Neuropharmacology 52 (2007) 215e227 Simultaneous high-frequency stimulation in awake animals induces LTP at both inputs that is different from LTP induced by stimulation of either input alone (Doyère et al., 2003). Another study found that LTP was induced at cortical inputs in vitro if thalamic and cortical afferents were tetanized simultaneously, whereas tetanization of either input alone did not induce LTP. Interestingly, although this LTP was associative, its induction was mediated entirely by presynaptic mechanisms (Humeau et al., 2003). The functional significance of this form of associative LTP is at present not clear. In addition to being associative, LTP in the LA is inputspecific. That is, LTP is typically observed only at inputs whose activation is paired with postsynaptic depolarization (Weisskopf and LeDoux, 1999a; Tsvetkov et al., 2004; Humeau et al., 2005) or activation of other inputs (Humeau et al., 2003). This feature may be relevant to fear conditioning, since it can restrict changes in synaptic strength to inputs that represent the CS. In contrast, inputs that transmit information about tones that are not paired with a US (and are not active during strong postsynaptic depolarization) are not potentiated by to this mechanism. Thus, input-specificity may limit the generalization of fear responses. Finally, it is important to note that LTP in the LA is long lasting. In awake animals LTP has been observed to last for at least 6 days (Doyère et al., 2003), indicating that it is a plausible mechanism for the long-term storage of fear memories. 2.3. Fear conditioning induces synaptic changes at auditory inputs to the LA A number of studies have examined whether fear conditioning causes LTP-like synaptic changes at auditory inputs onto LA neurons. Two experimental strategies have been used for this purpose. The first approach has been to examine whether LTP induction at auditory inputs to the LA enhances auditory-evoked responses in the LA in a manner similar to the enhancement of CS-evoked responses observed during auditory fear conditioning. This approach has revealed that LTP induction does indeed enhance auditory-evoked field potentials recorded in the LA (Rogan and LeDoux, 1995). Subsequent experiments showed that fear conditioning caused a similar enhancement in field potential responses to an auditory CS that developed in conjunction with conditioned fear responses (Rogan et al., 1997). These findings therefore suggested that LTP occurred in the LA during fear conditioning and were at the time considered the best evidence available linking LTP to learning and memory (Barnes, 1995; Eichenbaum, 1995; Stevens, 1998). The second experimental strategy has been to examine synaptic transmission at auditory inputs onto LA neurons in vitro in brain slices from animals that have undergone fear conditioning. Synaptic transmission is examined in these studies by stimulating the internal or the external capsules, while recording postsynaptic responses in the LA. The first study of this kind found that transmission at thalamic inputs to the LA was enhanced in fear conditioned animals compared to animals that were either naive or had received presentations of the CS and US in an unpaired fashion (McKernan and Shinnick-Gallagher, 1997). These results were the first to directly demonstrate that fear conditioning leads to an LTP-like enhancement of synaptic transmission at auditory inputs to the LA, which specifically encodes the association between the CS and the US. Subsequently it was shown that transmission at cortical inputs is also enhanced following fear conditioning (Schroeder and Shinnick-Gallagher, 2005). Further supporting evidence, although less direct, has come from studies showing that fear conditioning inhibits the induction of LTP at cortical inputs (Tsvetkov et al., 2002; Schroeder and ShinnickGallagher, 2004, 2005). This ‘occlusion’ of LTP is typically interpreted as being due to the fact that synapses in fear conditioned animals have already undergone LTP-like changes in synaptic strength and are therefore less capable of showing additional LTP. Several studies suggest that presynaptic changes contribute to the enhancement in synaptic transmission following fear conditioning. A decrease in the paired-pulse ratio, a widely used measure of transmitter release, has been observed at both thalamic (McKernan and Shinnick-Gallagher, 1997; Zinebi et al., 2002) and cortical (Tsvetkov et al., 2002; Schroeder and Shinnick-Gallagher, 2005) inputs after fear conditioning. This suggests that the synaptic enhancement is partly mediated by greater transmitter release from presynaptic terminals, probably due to an increase in release probability (Tsvetkov et al., 2002). However, recent findings suggest that postsynaptic mechanisms may also play a role. Fear conditioning has been shown to lead to the insertion of new AMPA receptors at thalamic input synapses onto LA neurons (Rumpel et al., 2005) as well as an increase in the surface expression of AMPA receptor subunits in the LA (Yeh et al., 2006). At present, it therefore seems likely that fear conditioning enhances synaptic transmission in the LA through a combination of pre- and postsynaptic modifications. 2.4. LTP in the LA and fear conditioning share molecular mechanisms Although the findings reviewed so far strongly suggest that fear conditioning induces changes in synaptic strength at auditory inputs to the LA, they do not address the question of whether such changes are necessary for fear learning to occur. In other words, does blockade of synaptic plasticity in the LA impair fear conditioning? This has been addressed by asking whether pharmacological agents that block LTP in the LA also impair fear conditioning when injected directly into the LA. To date, this question has been answered in the affirmative by a number of studies targeting a range of molecular processes. These include, for example, the activation of NMDA receptors, which is involved in both the induction of LTP in the LA (Huang and Kandel, 1998; Bauer et al., 2002) and the acquisition of fear conditioning (Miserendino et al., 1990; Campeau et al., 1992; Rodrigues et al., 2001). A number of intracellular signaling pathways, as well as gene transcription and protein synthesis, have also been implicated specifically in the long-term maintenance of LTP (Huang et al., T. Sigurdsson et al. / Neuropharmacology 52 (2007) 215e227 2000) and the consolidation of long-term fear memories (for a full review, see Schafe et al., 2001; Rodrigues et al., 2004). Similar results have been obtained using genetic manipulations, although these typically do not allow the same degree of anatomical specificity as pharmacological manipulations (for reviews, see Tsien, 2000; Silva, 2003; Tonegawa et al., 2003). Nevertheless, the results from both genetic and pharmacological studies together convincingly demonstrate that LTP shares many of the molecular mechanisms of fear conditioning, suggesting that LTP-like changes may be a necessary requirement for fear learning and memory. One potential criticism of these studies is that the molecular mechanisms of LTP may not underlie the natural synaptic changes that occur as a result of learning. Addressing this criticism, a recent study showed that local inhibition of MAP kinase impairs both the formation of long-term fear memory and long-term enhancement of CS responses in LA (Schafe et al., 2005). This study also showed that the behavioral impairment was correlated with the level of impairment of conditioned neural responses. Furthermore, the enhancement of CS-evoked responses in the auditory thalamus was not affected, suggesting that the impairment in LA plasticity was mediated by disruption of synaptic plasticity within this nucleus (see Fig. 2). In another study, Rumpel et al. (2005) demonstrated that preventing the insertion of new AMPA receptors into LA neurons, which normally occurs during fear conditioning, impaired fear learning. Because insertion of AMPA receptors is expected to enhance synaptic transmission, these results also strongly suggest that synaptic plasticity in the LA is a necessary requirement for fear conditioning. Interestingly, the authors were also able to show that insertion of AMPA receptors only needed to be prevented in 10e20% of LA cells in order to cause impaired fear learning. These results therefore suggest that conditioned fear memories are stored by synaptic changes in a relatively distributed network within the LA. 219 2.5. The current standing of the cellular hypothesis As the previous discussion makes clear, a large number of studies suggest that an increase in synaptic strength at auditory inputs to the lateral amygdala occurs as a result of fear conditioning and that these changes are necessary for fear conditioning to take place. These findings thus satisfy two of the criteria proposed by Martin et al. (2000) to be necessary for establishing that synaptic changes underlie learning and memory: synaptic changes must be demonstrated to occur as a result of learning (the ‘detectability’ criterion) and preventing such changes from taking place must interfere with learning (the ‘anterograde alteration’ criterion). These two criteria have also been satisfied for other simple forms of learning, in particular in the marine snail Aplysia (Kandel, 2001) which, along with results from studies of fear conditioning, provide some of the most convincing evidence to date that synaptic plasticity underlies learning and memory. Before concluding this section, it is worth mentioning that Martin et al. (2000) described two additional criteria for establishing synaptic plasticity as a mechanism of memory formation: reversing the synaptic changes induced by learning should disrupt the memory (‘retrograde alteration’ criterion) and artificially inducing synaptic changes analogous to those observed during learning should produce similar behavioral changes (the ‘mimicry’ criterion). These two criteria have received much less attention than the ones described previously. Retrograde alteration of conditioned fear memories would require reversing the synaptic enhancement caused by fear conditioning. In principle, this could be achieved by delivering low-frequency stimulation (LFS) to auditory afferents, which has been shown to cause reversal of LTP (‘depotentiation’) in the LA (Lin et al., 2003a). Interestingly, one study found that when LFS was delivered to the LA in animals that had previously been fear conditioned, an apparent loss of conditioned Fig. 2. Synaptic plasticity in the LA is required for auditory fear conditioning. (A) In this experiment, rats received injections of a MAP kinase inhibitor (U0126) or vehicle into the LA prior to fear conditioning. In vehicle-treated animals (left traces) field potential responses to the auditory CS (arrows) were enhanced during a long-term memory test (LTM) in both auditory thalamus (lower traces) and in the LA (upper traces). However, in animals injected with U0126 into the LA (right traces), neural plasticity was impaired in the LA but not in the auditory thalamus. These results therefore suggest that the MAP kinase inhibitor impaired synaptic plasticity locally in the LA. (B) The impairment in neural plasticity in the LA was correlated with impairments in the consolidation of auditory fear conditioning. Animals that showed greater impairment in neural plasticity displayed less fear responses to the CS during a long-term memory test. This suggests that plasticity in the LA is required for auditory fear learning and memory. Adapted with permission from Schafe et al. (2005). 220 T. Sigurdsson et al. / Neuropharmacology 52 (2007) 215e227 fear was observed when animals were tested the next day (Lin et al., 2003a). However, since the authors of this study did not record neural responses in the LA it is difficult to determine whether the LFS did in fact reverse the synaptic changes brought about by fear conditioning. Further experiments are needed to address this issue. The mimicry criterion has also received scant attention, although fear conditioning may be particularly well suited for addressing it (Stevens, 1998; Martin et al., 2000). Doing so would involve asking whether LTP induction at auditory inputs to LA induces fear responses to a neutral auditory stimulus. As mentioned previously, it has been demonstrated that LTP at thalamic inputs causes an enhancement of auditory-evoked responses in the LA similar to what is observed during fear conditioning (Rogan and LeDoux, 1995; Rogan et al., 1997). It remains to be seen, however, whether such artificially induced synaptic changes are sufficient to produce behavioral responses similar to conditioned fear. Whether or not they do so may depend on whether fear conditioning is also mediated by synaptic plasticity in areas outside the LA. 3. Outstanding questions for future research Although considerable progress has been made in relating synaptic plasticity in the amygdala to fear learning and memory, several questions concerning this relationship remain unanswered. Below we discuss three research questions that may advance our understanding of how plasticity in the LA contributes to fear conditioning in the coming years. This list is not meant to be exhaustive, but rather to highlight a few important outstanding questions. 3.1. Are LTP and fear conditioning sensitive to the same stimulus parameters? In the previous section we described several converging lines of evidence that fear conditioning is mediated by synaptic plasticity at sensory inputs to the LA. It has been argued that the rules that govern synaptic plasticity should reflect to some degree the rules that govern learning, although it is probably unrealistic to expect them to be completely isomorphic (Martin et al., 2000). In this section we discuss how two of the basic properties of fear conditioningdits dependence on CSeUS contiguity and CSeUS contingencydmay be realized in the rules that govern LTP induction in the LA. Temporal overlap between the CS and the US (or contiguity) is one of the necessary requirements for fear conditioning, although it is not a sufficient one (see ’blocking’; Kamin, 1969). Presenting the animal with a CS and US that overlap in time leads to fear conditioning, whereas CS and US presentations that are explicitly unpaired in time do not (Rescorla, 1967). For this reason, unpaired CSeUS presentations are commonly used as a control procedure for determining whether the effects of fear conditioning (for example, on synaptic transmission) are due to CSeUS contiguity or other nonassociative effects. The contiguity requirement for fear conditioning has parallels in the ‘pairing protocols’ that are commonly used to induce associative LTP in the LA. As we described earlier, these protocols induce LTP by pairing weak presynaptic stimulation with strong postsynaptic depolarization (Weisskopf and LeDoux, 1999a; Huang et al., 2000; Tsvetkov et al., 2004; Humeau et al., 2005). In the context of fear conditioning, presynaptic stimulation of sensory afferents can represent activity caused by the CS whereas postsynaptic depolarization represents the US. Consistent with the contiguity requirement for behavioral learning, presynaptic stimulation and postsynaptic depolarization must occur together in time for LTP to be induced (Weisskopf and LeDoux, 1999a; Tsvetkov et al., 2004; Humeau et al., 2005). Thus, both fear conditioning and associative LTP in the LA have a contiguity requirement, further supporting the hypothesis that LTP mediates fear learning (Blair et al., 2001). Although contiguity between the CS and US is necessary for fear conditioning, it is not sufficient. Fear conditioning also depends strongly on CSeUS contingencydthe degree to which the CS predicts the occurrence of the US (Rescorla, 1968). For instance, strong fear conditioning can be induced with only a few temporal pairings of the CS and US, but presentation of additional CSs (partial reinforcement) or USs (degraded contingency) decreases the strength of the CSeUS association (Rescorla, 1968; Singh and Banerji, 1986; Cain et al., 2005). In such cases, CSeUS contiguity is preserved, but contingency is reduced. Associative LTP in the LA has been shown to require stimulus contingencies that bear a striking parallel to the contingency requirements for fear conditioning (Bauer et al., 2001). Using a pairing protocol, the authors demonstrated associative LTP at thalamic inputs when weak presynaptic stimulation (to mimic a CS presentation) was contiguous with postsynaptic depolarization (to mimic a US presentation). Interestingly, when contingency was degraded by adding unpaired postsynaptic depolarizations to the protocol, LTP was severely impaired (Fig. 3). This degraded contingency effect was observed if unpaired depolarizations were interleaved with pairings, preceded pairings or followed pairings suggesting that single neurons in the LA can integrate information about the relationship between presynaptic activity and postsynaptic depolarization across at least 5 min. This important finding provides further evidence in support of the hypothesis that LTP in the LA mediates fear conditioning. It will be interesting to examine whether a pairing protocol designed to mimic partial reinforcement (additional episodes of presynaptic stimulation) will have a similar effect on associative LTP in the LA. These findings raise the important question of how information about contingency and contiguity might be integrated within single LA neurons to cause changes in synaptic strength. At first glance, one might suggest that contiguous stimulations (pairings) induce associative LTP and unpaired depolarizations reverse this plasticity through a depotentiationlike process. However, it is important to note that associative LTP is input-specific and degrading contingency with unpaired T. Sigurdsson et al. / Neuropharmacology 52 (2007) 215e227 221 Fig. 3. Fear conditioning and LTP in the lateral amygdala are sensitive to the same stimulus contingencies. (A) To test whether LTP in the LA, induced by pairing presynaptic stimulation (EPSPs) with postsynaptic depolarization, is compromised when contingency is reduced, extra depolarizations were inserted between pairings while keeping EPSP and depolarization contiguity constant. (B) LTP was induced in the LA when EPSPs were paired with postsynaptic depolarization (circles), but not when pairings were interleaved with extra postsynaptic depolarizations (triangles). Adapted with permission from Bauer et al. (2001). depolarizations produces a significant reduction in LTP even when these depolarizations occur before the pairings. Thus, contingency mechanisms appear to be cell-wide whereas contiguity mechanisms are synapse-specific. Any mechanistic explanation of contingency will also have to take into account the vastly different timescales of these two processes. Whereas contiguous interactions between presynaptic activity and postsynaptic depolarization occur on the order of milliseconds to induce LTP, unpaired depolarizations can affect LTP when separated from a pairing by 10 s, and perhaps longer. Answers to these questions will be critical for our understanding of fear conditioning and associative learning in general, especially considering that associative learning in real life situations often occurs with less than 100% contingency. 3.2. The role of inhibitory transmission LTP and fear learning Most studies on the cellular mechanisms of fear conditioning have examined synaptic transmission and plasticity at excitatory inputs onto pyramidal cells in the LA. This focus is motivated by the hypothesis that fear conditioning is mediated by synaptic plasticity at these synapses specifically (Blair et al., 2001). However, approximately 25% of neurons in the LA are inhibitory interneurons (McDonald and Augustine, 1993) and both feedforward (Rainnie et al., 1991; Li et al., 1996b; Woodson et al., 2000) and feedback (Smith et al., 2000; Szinyei et al., 2000; Samson et al., 2003) inhibition plays a large role in synaptic transmission in the LA. In this section, we first discuss how inhibitory transmission may regulate LTP in the LA and fear learning. We then review evidence suggesting that inhibitory interneurons in the LA are also capable of synaptic plasticity and discuss possible functional implications of these findings. LTP in the LA has been shown to be more easily induced in the absence of inhibitory transmission, suggesting that inhibition is an important gate on LTP induction (Watanabe et al., 1995; Bissiere et al., 2003). In principle, this gating function can be controlled by neuromodulators which have been shown to affect inhibitory interneurons in the LA, such as serotonin (Rainnie, 1999; Stutzmann and LeDoux, 1999), norepinephrine (Coyle and Duman, 2003; Braga et al., 2004), glucocorticoids (Johnson et al., 2005), cannabinoids (Katona et al., 2001; McDonald and Mascagni, 2001; Marsicano et al., 2002) and dopamine (Brinley-Reed and McDonald, 1999; Bissiere et al., 2003; Marowsky et al., 2005). Of these, dopamine has been shown to suppress feedforward inhibition in the LA and facilitate the induction of LTP (Bissiere et al., 2003). In contrast, gastrin-releasing peptide (GRP) excites inhibitory interneurons and constrains the induction of LTP at excitatory inputs in the LA; mice lacking the GRP receptor display less inhibition and enhanced LTP (Shumyatsky et al., 2002). Both of these modulators affect fear conditioning in a manner consistent with their effects on LTP: dopamine receptor antagonists impair fear conditioning (Guarraci et al., 1999, 2000; Greba and Kokkonidis, 2000; Greba et al., 2001) and conditioned neural responses (Rosenkranz and Grace, 2002) whereas GRP receptor knockout mice show enhanced fear learning (Shumyatsky et al., 2002). Thus, neuromodulators and peptides, by affecting inhibitory transmission, can modulate LTP in the LA and fear conditioning. A better understanding of this gating function will be important for refining cellular models of fear learning. In addition to gating excitatory LTP, LA interneurons are also capable of synaptic plasticity. To date, only two studies have investigated LTP in LA interneurons and it appears that both input synapses (excitatory synapses onto interneurons) and output synapses (inhibitory synapses onto pyramidal cells) can undergo LTP (Fig. 4; Mahanty and Sah, 1998; Bauer and LeDoux, 2004). LTP of input synapses was induced in both studies in vitro by high-frequency stimulation of auditory inputs, which are known to make glutamatergic synapses onto GABAergic interneurons (Smith et al., 2000; Szinyei et al., 2000; Woodson et al., 2000). Postsynaptic calcium influx is required for induction of this LTP although the calcium source remains a matter of debate. One study found that calciumpermeable AMPA receptors were required for LTP induction (Mahanty and Sah, 1998) whereas the other study found that NMDA receptors were necessary (Bauer and LeDoux, 2004). LTP of excitatory inputs onto interneurons is also 222 T. Sigurdsson et al. / Neuropharmacology 52 (2007) 215e227 Fig. 4. Heterosynaptic LTP of inhibitory interneurons in the LA. (A) High-frequency stimulation was delivered in vitro to thalamic inputs onto LA interneurons. This induced LTP not only at thalamic inputs (left), but also at cortical inputs (right). This suggests that LTP of inhibitory interneurons in the LA is heterosynaptic. (B) LTP was associated with decreased paired-pulse facilitation, suggesting that it is mediated by an increase in presynaptic transmitter release. Adapted with permission from Bauer and LeDoux (2004). somewhat unique in that it is not input-specific: high-frequency stimulation of either the thalamic or cortical inputs leads to LTP at both inputs (Fig. 4; Bauer and LeDoux, 2004). LTP of inhibitory synapses can also be induced by delivering high-frequency stimulation to GABAergic inputs onto pyramidal cells (Bauer and LeDoux, 2004; GABAergic inputs can be isolated by stimulating within the LA in the absence of excitatory transmission). Interestingly, although this LTP is dependent on postsynaptic calcium, it is independent of AMPA or NMDA receptor activity. The molecular induction and expression mechanisms for LTP of GABAergic transmission in the LA are currently unknown. Although the study of inhibitory LTP in the LA is still in its infancy, its existence raises questions about its potential function. One possibility, inspired by the finding that inhibitory LTP is heterosynaptic, is that this LTP increases the signal-to-noise ratio of CS processing during fear conditioning (Bauer and LeDoux, 2004). Another interesting possibility is that inhibitory LTP in the LA may be important for fear extinction (Bauer and LeDoux, 2004; Barad, 2005), a form of learning that is known to depend on the LA (Davis, 2002; Marsicano et al., 2002; Myers and Davis, 2002; Lin et al., 2003b; Chhatwal et al., 2005). Extinction occurs when a CS is repeatedly presented in the absence of the aversive US, causing fear responses to the CS to diminish. The synaptic changes underlying fear conditioning are generally believed to be preserved with extinction but the expression of these changes may be suppressed by new inhibitory learning (for review see Myers and Davis, 2002). The possibility that this may be mediated by plasticity of inhibitory transmission is supported by several findings. First, extinction learning and expression are blocked by an inverse agonist of the GABAA-receptor (Harris and Westbrook, 1998). Second, extinction training increases the expression of gephryin, a GABAA-receptor clustering protein, in the LA (Chhatwal et al., 2005). Third, disruption of cannabinoid signaling in the LA impairs both extinction and plasticity of inhibitory transmission. Further research is clearly needed to understand how inhibitory plasticity in the LA relates to extinction and other behavioral processes. 3.3. Differences between thalamic and cortical inputs As we have already mentioned, the LA receives two sets of auditory inputs that originate in the auditory thalamus and cortex. These come primarily from the posterior intralaminar nucleus of the thalamus (PIN; LeDoux et al., 1984, 1990a; Turner and Herkenham, 1991; Doron and LeDoux, 2000; Linke et al., 2000) and cortical auditory association area TE3 (Mascagni et al., 1993; Romanski and LeDoux, 1993a; Shi and Cassell, 1997; McDonald, 1998). Within the LA, the two inputs innervate overlapping regions (LeDoux et al., 1991) and many LA neurons respond to stimulation of either auditory thalamus or cortex (Li et al., 1996a). Although we have reviewed evidence suggesting that synaptic changes at auditory inputs to the LA mediate fear conditioning, one outstanding question is whether long-term changes at the thalamic and cortical inputs make distinct contributions to this process. Several studies suggest that LTP induction differs considerably at the two inputs. The magnitude of LTP induced by highfrequency stimulation is greater at cortical inputs in awake animals (Fig. 5; Doyère et al., 2003) as well as in anesthetized animals across a range of induction frequencies and protocols (Sigurdsson et al., 2006). Although this does not necessarily mean that the thalamic inputs are less plastic than cortical inputs, it may suggest that plasticity at the two inputs is sensitive to different patterns of pre- and postsynaptic stimulation. Consistent with this interpretation, in vitro studies have shown that some stimulation protocols induce LTP more readily at thalamic inputs (Humeau et al., 2005), whereas others induce LTP selectively at cortical inputs (Humeau et al., 2003). Insofar as specific patterns of neural activity reflect different events in T. Sigurdsson et al. / Neuropharmacology 52 (2007) 215e227 223 Fig. 5. Differences in LTP magnitude and longevity at thalamic and cortical inputs to the LA. (A) In this experiment, LTP was induced at thalamic and cortical inputs to the LA in awake, freely behaving animals. Although the magnitude of LTP was initially greater at cortical compared to thalamic inputs, it decayed back to baseline within 3 days, whereas LTP was observed at thalamic inputs for at least 6 days (B). Adapted with permission from Doyère et al. (2003). the external world, the stimulus requirements for LTP at thalamic and cortical inputs may enable plasticity at these two inputs to store different kinds of information. More work is needed to systematically examine the exact stimulus parameters that give rise to LTP at the two inputs and how they relate to external events. What mechanism might underlie these differences in LTP? One study found that dendritic spines that are postsynaptic to thalamic inputs are larger than spines that are postsynaptic to cortical afferents. This might facilitate LTP induction at thalamic inputs when presynaptic stimulation is paired with postsynaptic action potentials (Humeau et al., 2005). The two inputs have also been found to display different short-term plasticity profiles in vivo: whereas the thalamic inputs display primarily depression during paired-pulse stimulation, cortical inputs show more facilitation (Sigurdsson et al., 2006). This may determine how well the two inputs respond during high-frequency stimulation protocols that are used to induce LTP. Differences in the expression of postsynaptic receptors between the two inputs are another possibility. There is evidence to suggest that NMDA receptors make a larger contribution to synaptic transmission at thalamic inputs in vivo (Li et al., 1995, 1996a; Rogan, 1998). However, with one exception (Weisskopf and LeDoux, 1999a) in vitro studies have not found such differences between the two inputs (Mahanty and Sah, 1999; Szinyei et al., 2003; Tsvetkov et al., 2004; Humeau et al., 2005), a discrepancy that may reflect differences between the in vivo and in vitro preparations. Recent studies also suggest that LTP induction at the two inputs may involve separate molecular mechanisms (Humeau et al., 2005). Such pharmacological differences are particularly interesting since they may allow the two inputs to be dissociated pharmacologically and their individual contributions to fear conditioning assessed. Synaptic plasticity at the two inputs may also be differentially involved in the long-term storage of fear memories. LTP at thalamic inputs has been shown to last for at least 6 days in awake behaving animals, whereas LTP at cortical inputs, although initially larger in magnitude, decays back to baseline within 3 days (Doyère et al., 2003; Fig. 5). An important question for future research will be to examine whether the synaptic changes observed at the two inputs following fear conditioning also display differences in their persistence. Most studies have examined synaptic changes only up to 2 days following fear conditioning (McKernan and Shinnick-Gallagher, 1997; Zinebi et al., 2001; Tsvetkov et al., 2002; Schroeder and Shinnick-Gallagher, 2004). However, one study demonstrated synaptic changes at cortical inputs 10 days after learning (Schroeder and Shinnick-Gallagher, 2005). Whether thalamic inputs show similarly or more persistent changes following conditioning has not been examined. Another possibility for examining the contribution of the two inputs to fear memory storage might be to compare different temporal components of CS-evoked responses in the LA during fear conditioning. It is well established that the shortest-latency CS-responses in the LA must be mediated by the thalamic inputs whereas cortical inputs may contribute to longer response latencies (Quirk et al., 1995, 1997; Rogan et al., 2005). Interestingly, although plasticity of CS responses is observed at the shortest response latencies during fear conditioning, longer-latency responses show more persistent changes (Repa et al., 2001). One intriguing possibility is that plasticity at these longer response latencies reflects, in part, synaptic plasticity at cortical inputs onto LA neurons. It will be important to determine whether this is the case, for example by functionally inactivating the auditory cortex while recording CS responses in the LA. In addition to examining how plasticity differs at the thalamic and cortical inputs, it will also be important to address the functional consequences of these differences. One approach is to examine the effects of lesions of either the auditory thalamus or auditory cortex on fear learning. One such study found that when lesions were done after fear conditioning, cortical lesions impaired the retention of conditioned fear whereas thalamic lesions did not (Campeau and Davis, 1995a). This suggests that the cortical inputs may be more involved in the long-term storage of fear memories. However, lesion studies are an imperfect way of addressing this issue since they do 224 T. Sigurdsson et al. / Neuropharmacology 52 (2007) 215e227 not selectively block the expression of plasticity, but cause a more general disruption of auditory processing. An alternative method would be to selectively impair plasticity at either input using pharmacological agents that act selectively at one input or the other, as previously mentioned. Yet another strategy may be to selectively induce depotentiation of either input, thus reversing the synaptic changes brought about by fear conditioning (Lin et al., 2003a). Given our incomplete understanding of the relative contributions of the thalamic and cortical auditory inputs to fear conditioning, these and other experimental approaches will be important for future studies on synaptic plasticity in the amygdala. 4. Conclusion Considerable progress has been made in relating activitydependent changes in synaptic strength to learning and memory since Bliss and Lomo first described LTP in 1973. We have argued that studies linking fear conditioning to LTP in the amygdala constitute an important part of this progress. The findings reviewed here strongly suggest that LTP-like synaptic changes occur as a result of fear learning, and that such changes are necessary for fear memories to be formed. Nevertheless, our understanding of the cellular mechanisms mediating fear conditioning is far from complete. Accordingly, we have highlighted several important questions which we think will be important for future research: how CSeUS contiguity and contingency is computed by individual neurons, the role of inhibitory transmission and plasticity and how synaptic plasticity at different sensory inputs contributes to fear learning and memory. Although these questions are specific to fear conditioning and synaptic plasticity in the amygdala, the answers may unravel more general mechanisms of plasticity that will apply to other memory circuits as well as different forms of learning and memory. Acknowledgments This work was supported by NIH Grants R01 MH46516, R37 MH38774, K05 MH067048, and P50 MH58911 to J.E.L., an NIMH NRSA MH077458 to C.K.C. and CNRSPICS to V.D. References Amorapanth, P., LeDoux, J.E., Nader, K., 2000. 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