Progress in Brain Research, Vol. 147 ISSN 0079-6123 Copyright ß 2005 Elsevier BV. All rights reserved CHAPTER 9 Excitatory–inhibitory balance and critical period plasticity in developing visual cortex Takao K. Hensch* and Michela Fagiolini Laboratory for Neuronal Circuit Development, Critical Period Mechanisms Research Group, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan Introduction loss of responsiveness to an eye deprived of vision in the primary visual cortex of kittens. As a direct behavioral consequence, the deprived eye becomes amblyopic: its visual acuity is strongly reduced and its contrast sensitivity blunted (see Daw, 1995). Moreover, the rapid physiological effects of monocular deprivation (MD) are soon accompanied by an anatomical reduction in size of horizontal connections and thalamic afferents serving the deprived eye (Antonini and Stryker, 1993; Trachtenberg and Stryker, 2001). Altogether these processes depend upon competitive interactions between the two eyes for the control of cortical territory. When both eyes are sutured, no imbalance of input occurs and neither eye loses the relative ability to drive visual responses (Daw, 1995; Antonini and Stryker, 1998). Importantly, a shift in ocular dominance toward the open eye occurs only during a transient developmental critical period. Since Hubel and Wiesel’s seminal work, the rules of activity-dependent competition and timing have been confirmed across a variety of species. Interestingly, the duration of the critical period appears to be tightly linked to the average life expectancy for each mammal studied (Berardi et al., 2000). In rodents as well as in cats (Fagiolini et al., 1994; Daw, 1995; Gordon and Stryker, 1996), plasticity is low at eye opening, peaks around four weeks of age, and declines over several weeks to months. Notably, the critical period is not a simple, age-dependent maturational process, but rather a series of events itself controlled in a use-dependent Neuronal circuits are shaped by their activity during ‘‘critical’’ or ‘‘sensitive periods’’ in development. Initially spontaneous, then early sensory-evoked patterns of action potentials, are required to sculpt the remarkably complex connectivity found in the adult brain, which then loses this extraordinary level of plasticity. Whether it is the targeting of individual axons or the acquisition of language, there is no doubt that dramatic re-wiring is most powerful early in postnatal life. Despite decades of similar robust observations across a wide spectrum of brain functions, only recently have we begun to understand the cellular basis that may underlie this fundamental process. The ability to freely switch on or off critical period mechanisms confirms the very existence of such special stages of heightened plasticity. Here, we focus on a newfound perspective of excitatoryinhibitory balance within cortical circuits that has finally granted this control. Visual cortex as a model system The premier physiological model of critical period plasticity is the developing visual system. Over 40 years ago, Wiesel and Hubel (1963) first described the *Corresponding author. Tel.: +81-48-467-9634; Fax: +81-48-467-2306; E-mail: [email protected] DOI: 10.1016/S0079-6123(04)47009-5 115 116 manner. Animals reared in complete darkness from birth express a delayed profile with plasticity persisting into adulthood (Cynader, 1983; Mower, 1991). The mouse visual cortex offers tremendous advantages for developmental analysis, despite the largely nocturnal lifestyle of rodents. Born with an innate contralateral bias, their laterally displaced eyes drive a robust, competition within a small, binocular zone of primary visual cortex during a short, two-week critical period, which can be delayed by dark-rearing (Fig. 1) (Fagiolini et al., 1994; Gordon and Stryker, 1996; Fagiolini et al., 2003). The shift of responsiveness is reflected in a reduced behavioral visual acuity through the closed eye during a critical period identical to that measured by single-unit electrophysiology (Prusky and Douglas, 2003). Anatomical correlates also follow the rapid physiological changes in response to MD (Antonini et al., 1999). The restricted spatio-temporal dimensions in an animal model of short gestation and large litter size are ideal for dissecting the cellular and molecular mechanisms of plasticity onset and closure. Moreover, the power of genetic manipulation offers a specificity of molecular control unprecedented by pharmacological approaches in the cat or monkey. Manipulating excitatory-inhibitory balance in vivo Despite a wealth of phenomenology regarding the rules of experience-dependent development (see Daw, 1995), precious little is known about the underlying cellular mechanism. Over the years, a popular model Fig. 1. Critical period plasticity in mouse visual cortex. The typical response bias toward contralateral eye input (ocular dominance groups 1–3) in the binocular zone of rodents is robustly shifted in favor of the open ipsilateral eye (groups 5–7) following monocular deprivation (MD) during the critical period (CP). Histograms are quantified as a weighted average (contralateral bias index, CBI), which ranges from 0 to 1 for complete ipsilateral or contralateral eye dominance, respectively. One week after eye-opening at P14, sensitivity to brief MD rapidly appears and persists for about two weeks, as measured by single-unit recording. The immature pre-CP (pCP) phase is prolonged by dark-rearing from birth, such that the overall profile is delayed to yield plasticity in adulthood, as shown previously for cats (Mower, 1991). Shaded region, range of nondeprived wild-type mice. Some error bars smaller than symbol size. Data adapted from Gordon and Stryker (1996); Fagiolini et al. (2003); Iwai et al. (2003). 117 of homosynaptic plasticity has emerged in parallel studies of learning and memory primarily in the hippocampus. While it is attractive to think of loss of deprived-eye input as a long-term depression (LTD) or gain of open-eye input as long-term potentiation (LTP), advancing knowledge of their molecular mechanism in vitro (Sanes and Lichtman, 1999) has so far failed to predictably alter the critical period. Disruption of tetanus-induced LTP or low-frequency induced LTD has been dissociated from ocular dominance plasticity on numerous occasions (see Hensch, 2003). At the very least, we have learned that cortical plasticity in the intact animal is not easily explained by artificial stimulus protocols used to adjust individual glutamatergic synapses in brain slices. In retrospect, this is not surprising, because unlike motor axons competing for a single target muscle fiber, sensory input to the neocortex must first be integrated by complex local circuit interactions in vivo. We therefore formulated the hypothesis that local excitatory and inhibitory cortical circuits reach an optimal balance only once in life during which plasticity may occur. If correct, direct manipulation of either excitation or inhibition should profoundly affect the sensitivity to sensory deprivation. Previous pharmacological attempts to disrupt the balance grossly hyper-excited or shut down the cortex (Shaw and Cynader, 1984;Videen et al., 1986; Ramoa et al., 1988; Reiter and Stryker, 1988), yielding little insight into the normal function of local circuits during plasticity. Taking advantage of gene-targeting technology, we instead attempted to gently titrate endogenous inhibition by reducing GABA synthesis or to enhance excitation by prolonging glutamatergic synaptic responses (Fig. 2). Both adjustments would be expected to yield a similar shift of balance in favor of excitation in vivo. Distinct genes encode the two isoforms of GABAsynthetic enzyme, glutamic acid decarboxylase (GAD) (see Soghomonian and Martin, 1998). The larger 67-kD protein (GAD67) is localized to cell somata and dendrites, producing a constitutive concentration of GABA throughout the cell (Fig. 2, right). In the absence of GAD67, mice die at birth with brain GABA concentrations less than 10% of that found in wild-type mice (Asada et al., 1997). Intriguingly, the 65-kD isoform (GAD65) is found primarily in the synaptic terminal, where it is anchored to vesicles and serves as a reservoir of inactive GAD that can be recruited when additional GABA synthesis is required (Soghomonian and Martin, 1998). During intense neuronal activity, GAD65 may be specialized to respond to rapid changes in synaptic demand. Mice carrying a targeted disruption of the GAD65 gene survive and exhibit a normal GABA content in the adult brain (Asada et al., 1996; Kash et al., 1997). However, as predicted, they display a significant reduction of stimulated GABA release (Hensch et al., 1998; Tian et al., 1999). Due to their activitydependent phenotype, GAD65 knock-out (KO) mice represent an ideal tool with which to test the role of endogenous inhibitory circuits in synaptic plasticity. To directly affect excitation, we noted the developmental change in subunit composition of the N-methyl-D-aspartate (NMDA)-type glutamate receptor. Composed of a principal subunit NR1 and different modulatory NR2 partners, NMDA receptor-mediated synaptic current decay is truncated by an activity-dependent switch in predominant subunit composition from NR2B to NR2A (Nase et al., 1999). Indeed, NMDA response kinetics in brain slices from NR2A knock-out (KO) mouse visual cortex remain dramatically prolonged well beyond the critical period, yielding increased charge transfer through NMDA receptor channels (Fig. 2, left) (Fagiolini et al., 2003). Global removal of NR1 is neonatal lethal, whereas conditional NR1 deletion renders the cortex visually unresponsive (M.F., T. Iwasato, S. Itohara, T.K.H., unpublished observations), as observed previously in vivo for pharmacological NMDA receptor antagonists (Miller et al., 1989). In contrast, NR2A protein expression exhibits a late postnatal onset in visual cortex (after eyeopening) (Nase et al., 1999; Fagiolini et al., 2003), making the NR2A KO mouse an ideal candidate to directly test the role of enhanced excitation conditional to the late postnatal time course of the critical period. Indeed, one significant drawback of using firstgeneration KO mice is the potential for compensatory changes and gross developmental defects due to the chronic deletion of a protein from the entire animal. To counteract this difficulty of interpretation, 118 Fig. 2. Testing the role of excitatory-inhibitory balance in visual cortical plasticity in vivo. Glutamate-mediated excitation is prolonged (gray traces) through NMDA receptors lacking the NR2A subunit (Fagiolini et al., 2003), yielding increased charge transfer at P28. On the inhibitory side, GABA is synthesized by two isoforms of the enzyme glutamic acid decarboxylase (GAD). Targeted disruption of the punctate, synaptic isoform (GAD65) reduces stimulated GABA release from intrinsic interneurons (Hensch et al., 1998; Tian et al., 1999). Both manipulations would disrupt the balance in favor of excitation, and should be similarly reversed by the use-dependent GABAA receptor modulator diazepam. we further attempted to restore the perturbed excitatory-inhibitory balance in both KO mouse models by the infusion of benzodiazepine agonists (Fig. 2). These drugs, such as diazepam, selectively increase the open probability and channel conductance of a subset of GABAA receptors in a usedependent manner (Cherubini and Conti, 2001), as they are inert in the absence of synaptic GABA release. Moreover, benzodiazepine binding sites are associated with intrinsic cortical elements rather than thalamocortical axons or other subcortical inputs (Shaw et al., 1987). Finally, they can be delivered in a highly restricted manner through the use of osmotic minipumps for spatial specificity (Fig. 3). Excitatory-inhibitory balance drives ocular dominance plasticity Extracellular single-unit recording from the binocular zone of visual cortex in GAD65 KO mice reveals an identical ocular dominance distribution to wildtype animals. The response to a 4-day period of monocular occlusion beginning between P25 and P27 is, however, strikingly different (Hensch et al., 1998). Mice lacking GAD65 show no shift in their responsiveness in favor of the open eye and cortical neurons continue to respond better to the contralateral eye input (Fig. 3). In order to rescue the plasticity defect in vivo, we enhanced inhibition by delivering diazepam (DZ) locally into one hemisphere during a period of MD by the use of an osmotic minipump. Drug diffusion is restricted to the treated visual cortex, while it remains undetectable in the adjacent temporal cortex, frontal regions, or opposite hemisphere (Hensch et al., 1998). Under these conditions, MD now produces a complete ocular dominance shift in the infused mutant visual cortex (Fig. 3), whereas no rescue is observed by administering vehicle solutions or in the hemisphere opposite to DZ infusion. Consequently, similar results are obtained with global DZ treatment by intraventricular injections concurrent with 4-day MD. In adult, nondeprived NR2A KO mice, ocular dominance distribution is again similar to control 119 Fig. 3. Impaired ocular dominance plasticity in GAD65 knock-out (KO) mice is restored by local diazepam infusion. Typical contralaterally-biased histograms fail to shift toward the open, ipsilateral eye after a brief period of monocular deprivation (MD) due to reduced GABA release. Osmotic minipump infusion (red area) of the use-dependent GABAA receptor modulator diazepam (DZ) locally restores inhibitory synaptic transmission and rescues the ocular dominance shift. DZ enhances both the amplitude and decay kinetics of GABAA receptor-mediated synaptic currents, as they are fully blocked by picrotoxin (PTX). Data adapted from Hensch et al. (1998). animals (Fig. 4). Unlike GAD65 KO mice, brief MD is able to induce a slight shift in favor of the open eye, but interestingly the overall magnitude of this plasticity is significantly weakened. Long-term MD (>2 weeks) produces no further shift, confirming that saturation is reached within four days (Fagiolini et al., 2003). We then attempted to rescue full plasticity in NR2A KO mice by DZ infusion concomitant with brief MD. Similar to GAD65 KO mice, the ocular dominance distribution shifts completely with drug treatment (Fig. 4). A direct physiological consequence of reduced inhibition in GAD65 KO mice is enhanced activation in response to visual stimulation (Hensch et al., 1998). Visual cortical neurons display a tendency for prolonged discharge as light-bar stimuli exit the cell’s receptive field (Fig. 5, left), yielding excess spike firing by single units in all layers that outlasts the visual stimulus. Correspondingly, NR2A KO mice also exhibit prolonged neuronal discharge (76% vs. 2% of cells compared to wild-type) (Fagiolini et al., 2003), indicating that in both KO mouse models excitatory-inhibitory balance is disrupted similarly. Whereas robust prolonged discharge appears throughout life in both mutants, it is only evident early in the life of wild-type animals before the critical period (Fagiolini and Hensch, 2000), when intrinsic inhibition is weak, NR2A expression is rising, and ocular dominance plasticity is absent. Whenever prolonged discharge is encountered across animals, a significant reduction (>25% of cells) by DZ infusion in vivo unmasks visual cortical plasticity (Fig. 5, right). With the natural appearance of ocular dominance plasticity during the critical period in wild-type mice, prolonged discharge drops off sharply. Further shifting cortical balance in favor of inhibition with DZ application at this time tends to 120 Fig. 4. Impaired ocular dominance plasticity in NR2A knock-out (KO) mice is also rescued by enhancing inhibition with diazepam (DZ). Typical contralateral bias of normally-reared animals shifts only partially after monocular deprivation (MD) when compared to wild-type (WT) controls. The CBI only declines fully when MD is combined with DZ injection, but observes the typical critical period as adult mice do not show plasticity. Data adapted from Fagiolini et al. (2003). Fig. 5. Prolonged neuronal discharge as a consequence of perturbed excitatory-inhibitory balance in vivo. Neuronal responses exceed the passage of moving light-bar stimuli beyond the edges of their receptive field. This phenotype is robustly observed in GAD65 and NR2A KO mice of all ages, but only prior to critical period onset (pCP) in wild-type animals. In all cases, diazepam treatment significantly reduces the proportion of affected cells to produce full ocular dominance plasticity. Data adapted from Hensch et al. (1998); Fagiolini and Hensch (2000); Fagiolini et al. (2003). sharpen plasticity but not significantly beyond the normal range (Hensch et al., 1998). Taken together, a delicate equilibrium between excitation and inhibition intrinsic to visual cortical circuits is necessary to detect the imbalanced activity between competing inputs from the two eyes. Furthermore, fast inhibitory transmission via GABAA-mediated connections seems to be the main 121 driving force in this process, as plasticity impairment is more potent in the absence of GAD65 than NR2A and is rescued by benzodiazepines in both cases. Mechanisms and future directions Excitatory-inhibitory balance determines the neural coding of sensory input. Specific spike timingdependent windows for synaptic plasticity have recently been elucidated in developing and neocortical structures (Bi and Poo, 2001). Unlike classical models of LTP induced by changes in mean firing rate that are strictly blocked by enhancing inhibition with benzodiazepines (del Cerro et al., 1992; Trepel and Racine, 2000), spike-timing forms of plasticity rely upon physiologically realistic, millisecond-scale changes in the temporal order of pre- and postsynaptic action potentials. Prolonged discharge in both NR2A and GAD65 KO mice would impair plasticity by altering the pattern of neural activity encoding visual input. Diazepam would then subtly improve temporal processing in both animal models to fully restore ocular dominance shifts in response to MD. A competitive outcome is also more readily understood by spike-timing rather than homosynaptic plasticity rules (Miller, 1996; Song et al., 2000). Identifying a role for spike timing-dependent plasticity in vivo must await a molecular component that discriminates it from traditional homosynaptic plasticity induced by high or low-frequency stimulation. Tight regulation of neural coding by inhibition may indeed play the dominant role (Feldman, 2000; Pouille and Scanziani, 2001). Among the vast diversity of GABAergic interneurons in neocortex, two major sub-classes of parvalbumin-containing cells target the axon initial segment and soma (DeFelipe, 1997; Somogyi et al., 1998). Both are ideally situated to control either spike initiation (chandelier cells) or back-propagation (basket cells), respectively, required for synaptic plasticity in the dendritic arbor (Fig. 6). It is possible to reduce the fast-spiking behavior of these circuits in a cell-type specific manner by deleting their particular potassium channels (Kv3.1), and to mimic the global GAD65 KO phenotype (Rudy and McBain, 2001; Matsuda et al., in revision). Moreover, because distinct GABAA receptor subunits are enriched at these two discrete parvalbumin-cell synapses (Klausberger et al., 2002), their individual contributions to visual cortical processing and plasticity have now been identified by point mutations that selectively remove diazepam sensitivity (Rudolph et al., 2001; Fagiolini et al., 2004). Large-basket cells in particular extend a wide, horizontal axonal arbor that can span ocular Fig. 6. Specific inhibitory sub-circuits may drive ocular dominance plasticity by regulating spike-timing in the dendrites. Proper excitatory-inhibitory balance triggers a further cascade of molecular events underlying structural consolidation of developing circuits leading to critical period closure even in complete darkness. 122 dominance columns in cat visual cortex (Buzas et al., 2001), which are useful in segregating input coming from the two eyes (Hensch and Strgker, 2004). Moreover, electrically-coupled networks of fastspiking cells offer a system exquisitely sensitive to timing that could detect and pass along synchronized signals (Galaretta and Hestrin, 2001). Coincidence detection by precise NMDA receptor kinetics instead does not determine critical period duration, contrary to traditional LTP-based predictions (Fox, 1995; Feldman and Knudsen, 1998; Nase et al., 1999). Plasticity begins and ends normally in the absence of NR2A (Fagiolini et al., 2003), while parvalbumincells emerge with a postnatal time course that parallels critical period onset (Del Rio et al., 1994; Huang et al., 1999). To reopen ocular dominance plasticity requires a drastic disruption of extracellular matrix structure. Recent anatomical evidence has exposed an agedependent, dynamic re-sculpting of dendritic spines (Grutzendler et al., 2002), GABAergic synapse formation (Knott et al., 2002) and refinement of horizontal connections (Trachtenberg and Stryker, 2001) within days of sensory perturbation. Mature fast-spiking parvalbumin neurons are predominantly surrounded by perineuronal nets (Hartig et al., 1999), whose removal by protease treatment reactivates visual cortical plasticity in adult animals (Pizzorusso et al., 2002). It will be of interest to determine how nascent inhibitory connections, while playing important regulatory roles in refining excitatory connections, can themselves be consolidated into the mature circuit. Excitatory-inhibitory balance thus ultimately regulates structural consolidation. Systematic mapping of DZ injections to rescue GAD65 KO mice reveals a minimum requirement of two days at the beginning of MD (Iwai et al., 2003). Interestingly, MD induces a peak increase of extracellular proteolytic activity in visual cortex within two days (Mataga et al., 2002). This regulation fails to occur in GAD65 KO mice, suggesting a cascade for plasticity from functional imbalance to structural change through the release of factors such as tissue-type plasminogen activator (tPA). Indeed, the critical period itself fails to begin in GAD65 KO mice until DZ infusion (Fagiolini and Hensch, 2000). Just two days of DZ exposure eventually closes a stereotypical window (>14 days; see Fig. 1) for plasticity as seen normally (Iwai et al., 2003). The drug is effective even in the complete absence of visual input to block the delay of critical period by dark-rearing in wild-type animals (Fig. 6). Dark-rearing in fact delays the development of GABAergic transmission in visual cortex (Morales et al., 2002), reminiscent of GAD65 deletion. Thus, proper excitatory-inhibitory balance represents merely the start of the critical period, and much remains to be elucidated downstream of this trigger to determine how and why plasticity ends. Concluding remarks We have demonstrated the direct control of a classical critical period plasticity in developing primary visual cortex by focusing anew on excitatory-inhibitory balance. How general this principle will be across brain systems remains to be seen. It is already noteworthy that in the primary motor nucleus of the zebrafinch (RA), GABA cell number peaks in striking correlation with the acquisition of song only in the male birds that sing (Sakaguchi, 1996). In contrast, regions exhibiting persistent plasticity, such as the olfactory bulb, continue to generate GABA cells throughout life (Rochefort et al., 2002). As more becomes known about the molecular composition and plasticity of inhibitory synapses, as well as the ultimate structural changes that hardwire changes, it will become possible to test the importance of excitatory-inhibitory balance for critical periods of brain development in ever finer detail. Unraveling the mechanisms that limit such dramatic plasticity to early life would pave the way for novel paradigms or therapeutic agents for rehabilitation, recovery from injury, or improved learning across the lifespan. Acknowledgments We thank Dr. H. Katagiri for NMDA receptor physiology, Y. Tsuchimoto for GAD immunostaining; Drs. S. Kash, S. Baekkeskov, K. Obata for GAD65, and H. Mori, M. Mishina for GluRe1 (NR2A) knock-out animals. Mice were re-derived and maintained at RIKEN by S. Fujishima and 123 Y. Mizuguchi. Supported by RIKEN Brain Science Institute, CREST, Special Coordination Funds for Promoting Science and Technology (Japan Science and Technology Corp.), and Human Frontiers Science Program (HFSP). References Antonini, A., Fagiolini, M. and Stryker, M.P. (1999) Anatomical correlates of functional plasticity in mouse visual cortex. J Neurosci., 19: 4388–4406. Antonini, A. and Stryker, M.P. (1993) Rapid remodeling of axonal arbors in the visual cortex. Science, 260: 1819–1821. Antonini, A. and Stryker, M.P. (1998) Effect of sensory disuse on geniculate afferents to cat visual cortex. Vis. Neurosci., 15: 401–409. Asada, H., Kawamura, Y., Maruyama, K., Kume, H., Ding, R.G., Ji, F.Y., Kambara, N., Kozume, H., Sanbo, M., Yagi, T. and Obata, K. (1996) Mice lacking the 65 kDa isoform of glutamic acid decarboxylase (GAD65) maintain normal levels of GAD67 and GABA in their brains but are susceptible to seizures. Biochem. Biophys. Res. Commun., 229: 891–895. Asada, H., Kawamura, Y., Maruyama, K., Kume, H., Ding, R.-G., Kambara, N., Kozume, H., Sanbo, M., Yagi, T. and Obata, K. (1997) Cleft palate and decreased brain gamma-aminobutyric acid in mice lacking the 67-kDa isoform of glutamic acid decarboxylase. Proc. Natl. Acad. Sci. USA, 94: 6496–6499. Berardi, N., Pizzorusso, T. and Maffei, L. (2000) Critical periods during sensory development. Curr. Opin. Neurobiol., 10: 138–145. Bi, G. and Poo, M. (2001) Synaptic modification by correlated activity: Hebb’s postulate revisited. Annu. Rev. Neurosci., 24: 139–166. Buzas, P., Eysel, U.T., Adorjan, P. and Kisvarday, Z.F. (2001) Axonal topography of cortical basket cells in relation to orientation, direction, and ocular dominance maps. J. Comp. Neurol., 437: 259–285. Cherubini, E. and Conti, F. (2001) Generating diversity at GABAergic synapses. Trends Neurosci., 24: 155–162. Cynader, M. (1983) Prolonged sensitivity to monocular deprivation in dark-reared cats: effects of age and visual exposure. Brain Res., 284: 155–164. Daw, N. (1995) Visual Development. Plenum, New York. DeFelipe, J. (1997) Types of neurons, synaptic connections and chemical characteristics of cells immunoreactive for calbindin-D28K, parvalbumin and calretinin in the neocortex. J. Chem. Neuroanat., 14: 1–19. del Cerro, S., Jung, M. and Lynch, G. (1992) Benzodiazepines block long-term potentiation in slices of hippocampus and pyriform cortex. Neuroscience, 49: 1–6. Del Rio, J.A., De Lecea, L., Ferrer, I. and Soriano, E. (1994) The development of parvalbumin-immunoreactivity in the neocortex of the mouse. Dev. Brain Res., 81: 247–259. Fagiolini, M., Katagiri, H., Miyamoto, H., Mori, H., Grant, S.G., Mishina, M. and Hensch, T.K. (2003) Separable features of visual cortical plasticity revealed by N-methyl-D-aspartate receptor 2A signaling. Proc. Natl. Acad. Sci. USA, 100: 2854–2859. Fagiolini, M., Fritschy, J.M., Löw, K., Möhler, H., Rudolph, U. and Hensch, T.K. (2004) Specific GABAA circuits for visual cortical plasticity. Science, 303: 1681–1683. Fagiolini, M. and Hensch, T.K. (2000) Inhibitory threshold for critical-period activation in primary visual cortex. Nature, 404: 183–186. Fagiolini, M., Pizzorusso, T., Berardi, N., Domenici, L. and Maffei, L. (1994) Functional postnatal development of the rat primary visual cortex and the role of visual experience: dark rearing and monocular deprivation. Vision Res., 34: 709–720. Feldman, D.E. and Knudsen, E.I. (1998) Experience-dependent plasticity and the maturation of glutamatergic synapses. Neuron, 20: 1067–1071. Feldman, D.E. (2000) Inhibition and plasticity. Nat. Neurosci., 3: 303–304. Fox, K. (1995) The critical period for long-term potentiation in primary sensory cortex. Neuron, 15: 485–488. Galaretta, M. and Hestrin, S. (2001) Spike transmission and synchrony detection in networks of GABAergic interneurons. Science, 292: 2295–2299. Gordon, J.A. and Stryker, M.P. (1996) Experience-dependent plasticity of binocular responses in the primary visual cortex of the mouse. J. Neurosci., 16: 3274–3286. Grutzendler, J., Kasthuri, N. and Gan, W.B. (2002) Long-term dendritic spine stability in the adult cortex. Nature, 420: 812–816. Härtig, W., Derouiche, A., Welt, K., Brauer, K., Grosche, J., Mader, M., Reichenbach, A. and Bruckner, G. (1999) Cortical neurons immunoreactive for the potassium channel Kv3.1b subunit are predominantly surrounded by perineuronal nets presumed as a buffering system for cations. Brain Res., 842: 15–29. Hensch, T.K., Fagiolini, M., Mataga, N., Stryker, M.P., Baekkeskov, S. and Kash, S.F. (1998) Local GABA circuit control of experience-dependent plasticity in developing visual cortex. Science, 282: 1504–1508. Hensch, T.K. (2003) Controlling the critical period. Neurosci. Res., 47: 17–22. Hensch, T.K. and Stryker, M.P. (2004) Columnar architecture sculpted by GABA circuits in developing cat visual cortex. Science, 303: 1678–1681. 124 Huang, Z.J., Kirkwood, A., Pizzorusso, T., Porciatti, V., Morales, B., Bear, M.F., Maffei, L. and Tonegawa, S. (1999) BDNF regulates the maturation of inhibition and the critical period of plasticity in mouse visual cortex. Cell, 98: 739–755. Hubel, D.H. and Wiesel, T.N. (1970) The period of susceptibility to the physiological effects of unilateral eye closure in kittens. J. Physiol. (Lond.), 206: 419–436. Iwai, Y., Fagiolini, M., Obata, K. and Hensch, T.K. (2003) Rapid critical period induction by tonic inhibition in mouse visual cortex. J. Neurosci., 23: 6695–6702. Kash, S.F., Johnson, R.S., Tecott, L.H., Noebels, J.L., Mayfield, R.D., Hanahan, D. and Baekkeskov, S. (1997) Epilepsy in mice deficient in the 65-kDa isoform of glutamic acid decarboxylase. Proc. Natl. Acad. Sci. USA, 94: 14060–14065. Klausberger, T., Roberts, J.D. and Somogyi, P. (2002) Cell type- and input-specific differences in the number and subtypes of synaptic GABA(A) receptors in the hippocampus. J. Neurosci., 22: 2513–2521. Knott, G.W., Quairiaux, C., Genoud, C. and Welker, E. (2002) Formation of dendritic spines with GABAergic synapses induced by whisker stimulation in adult mice. Neuron, 34: 265–273. Mataga, N., Nagai, N. and Hensch, T.K. (2002) Permissive proteolytic activity for visual cortical plasticity. Proc. Natl. Acad. Sci. USA, 99: 7717–7721. Miller, K.D., Chapman, B. and Stryker, M.P. (1989) Visual responses in adult cat visual cortex depend on N-methyl-Daspartate receptors. Proc. Natl. Acad. Sci. USA, 86: 5183–5187. Miller, K.D. (1996) Synaptic economics: competition and cooperation in synaptic plasticity. Neuron, 17: 371–374. Morales, B., Choi, S.Y. and Kirkwood, A. (2002) Dark rearing alters the development of GABAergic transmission in visual cortex. J. Neurosci., 22: 8084–8090. Mower, G.D. (1991) The effect of dark rearing on the time course of the critical period in cat visual cortex. Dev. Brain Res., 58: 151–158. Nase, G., Weishaupt, J., Stern, P., Singer, W. and Monyer, H. (1999) Genetic and epigenetic regulation of NMDA receptor expression in the rat visual cortex. Eur. J. Neurosci., 11: 4320–4326. Pizzorusso, T., Medini, P., Berardi, N., Chierzi, S., Fawcett, J.W. and Maffei, L. (2002) Reactivation of ocular dominance plasticity in the adult visual cortex. Science, 298: 1248–1251. Pouille, F. and Scanziani, M. (2001) Enforcement of temporal fidelity in pyramidal cells by somatic feed-forward inhibtion. Science, 293: 1159–1163. Prusky, G.T. and Douglas, R.M. (2003) Developmental plasticity of mouse visual acuity. Eur. J. Neurosci., 17: 167–173. Ramoa, A.S., Paradiso, M.A. and Freeman, R.D. (1988) Blockade of intracortical inhibition in kitten striate cortex: effects on receptive field properties and associated loss of ocular dominance plasticity. Exp. Brain Res., 73: 285–296. Reiter, H.O. and Stryker, M.P. (1988) Neural plasticity without postsynaptic action potentials: less-active inputs become dominant when kitten visual cortical cells are pharmacologically inhibited. Proc. Natl. Acad. Sci. USA, 85: 3623–3627. Rochefort, C., Gheusi, G., Vincent, J.D. and Lledo, P.M. (2002) Enriched odor exposure increases the number of newborn neurons in the adult olfactory bulb and improves odor memory. J. Neurosci., 22: 2679–2689. Rudolph, U., Crestani, F. and Mohler, H. (2001) GABA(A) receptor subtypes: dissecting their pharmacological functions. Trends Pharmacol. Sci., 22: 188–194. Rudy, B. and McBain, C.J. (2001) Kv3 channels: voltage-gated K+ channels designed for high-frequency repetitive firing. Trends Neurosci., 24: 517–526. Sakaguchi, H. (1996) Sex differences in the developmental changes of GABAergic neurons in zebra finch song control nuclei. Exp. Brain Res., 108: 62–68. Sanes, J.R. and Lichtman, J.W. (1999) Can molecules explain long-term potentiation? Nat. Neurosci., 2: 597–604. Shaw, C., Aoki, C., Wilkinson, M., Prusky, G. and Cynader, M. (1987) Benzodiazepine ([3H]flunitrazepam) binding in cat visual cortex: ontogenesis of normal characteristics and the effects of dark rearing. Brain Res., 465: 67–76. Shaw, C. and Cynader, M. (1984) Disruption of cortical activity prevents ocular dominance changes in monocularly deprived kittens. Nature, 308: 731–734. Soghomonian, J.J. and Martin, D.L. (1998) Two isoforms of glutamate decarboxylase: why? Trends Pharmacol., 19: 500–505. Somogyi, P., Tamas, G., Lujan, R. and Buhl, E.H. (1998) Salient features of synaptic organisation in the cerebral cortex. Brain Res. Rev., 26: 113–135. Song, S., Miller, K.D. and Abbott, L.F. (2000) Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nat. Neurosci., 3: 919–926. Tian, N., Petersen, C., Kash, S., Baekkeskov, S., Copenhagen, D. and Nicoll, R. (1999) The role of the synthetic enzyme GAD65 in the control of neuronal gamma-aminobutyric acid release. Proc. Natl. Acad. Sci. USA, 96: 12911–12916. Trachtenberg, J.T. and Stryker, M.P. (2001) Rapid anatomical plasticity of horizontal connections in the developing visual cortex. J. Neurosci., 21: 3476–3482. Trepel, C. and Racine, R.J. (2000) GABAergic modulation of neocortical long-term potentiation in the freely moving rat. Synapse, 35: 120–128. Videen, T.O., Daw, N.W. and Collins, R.C. (1986) Penicillininduced epileptiform activity does not prevent ocular dominance shifts in monocularly deprived kittens. Brain Res., 371: 1–8. Wiesel, T.N. and Hubel, D.H. (1963) Single-cell responses in striate cortex of kittens deprived of vision in one eye. J. Neurophysiol., 26: 1003–1017.
© Copyright 2026 Paperzz