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Volume 2012 (2012), Article ID 892784, 11 pages
GABA through the Ages: Regulation of Cortical Function and Plasticity by Inhibitory Interneurons
Institut für Allgemeine Zoologie und Tierphysiologie, Universität Jena, 07743 Jena, Germany
Received 13 January 2012; Revised 30 March 2012; Accepted 30 March 2012
Academic Editor: Maurice Ptito
Copyright © 2012 Konrad Lehmann et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Inhibitory interneurons comprise only about 20% of cortical neurons and thus constitute a clear minority compared to the vast number of excitatory projection neurons. They are, however, an influential minority with important roles in cortical maturation, function, and plasticity. In this paper, we will highlight the functional importance of cortical inhibition throughout brain development, starting with the embryonal formation of the cortex, proceeding by the regulation of sensory cortical plasticity in adulthood, and finishing with the GABA involvement in sensory information processing in old age.
The functioning of the cerebral cortex depends critically on the precise balance between excitatory and inhibitory neurotransmitter systems. Excitation is mediated via glutamate by pyramidal neurons, the projection neurons of the cortex, and by a special class of local neurons in cortical layer IV, the spiny stellate cells. Inhibition is mediated via γ-aminobutyric acid (GABA) by cortical interneurons, which regulate the degree of glutamatergic excitation, filtering the input and regulate the output of projection neurons. GABAergic interneurons, the “nonpyramidal cells” of the cerebral cortex, take many different forms of dendritic and axonal arborization, which have been used for their morphological classification ever since their first description by Ramon Cajal [1–5]. Moreover, interneurons also differ in their firing patterns, the neuropeptides they express, their calcium-binding protein content, and other molecular markers such as ion channels, receptors, and transporters. Based on the combination of structural, functional, and biochemical criteria, interneurons have been subdivided into many different subclasses and it is still a matter of hot debate among the experts of how many interneuron subtypes exist in the cortices of different species [6–8].
At the circuit level, interneurons control the flow of information and synchronization in the cerebral cortex. There are about five times more glutamatergic neurons than GABAergic neurons in the neocortex; this ratio is consistently observed across many mammalian species. This then suggests that the numerical balance of excitatory and inhibitory neurons may be important for normal brain function and behavior. Even though GABAergic interneurons comprise only a small fraction of the cells in the neocortex, disturbances in their development, and hence the delicate balance between excitation and inhibition, can lead to neurological or neuropsychiatric diseases such as epilepsy, autism, and schizophrenia (reviewed in [9–13]). These disorders often emerge during childhood and adolescence. However, as we will describe later in this paper, alterations in GABAergic interneuron can also occur in the adult and aging brain, with important repercussions for cortical function and plasticity.
2. Setting the Balance: Interneuron Migration into the Cortical Plate
Cortical projection neurons, the excitatory pyramidal cells, arise in the ventricular zone (VZ) of the dorsal telencephalon and then migrate radially to form the laminated neocortex . In contrast, GABAergic interneurons originate from the VZ of the ventral telencephalon from three regions: different interneuron subtypes are generated in the medial ganglionic eminence (MGE), the caudal ganglionic eminence (CGE), and the preoptic area (POA) (see Figure 1). For example, parvalbumine positive and somatostatin-positive interneurons arise mainly from the MGE, while most calretinin-positive interneurons are born in the CGE and the POA gives birth to vasoactive intestinal peptide and neuropeptide Y-positive interneurons. Interneurons originating from these regions then migrate tangentially in separate streams over long distances towards their cortical destinations [15–22].
The cellular and molecular mechanisms that regulate and guide interneuron migration out of the ganglionic eminences and POA into the neocortex are beginning to be described. Different groups of signaling molecules, including semaphorins and slits, act as repulsive cues for migrating interneurons [23, 24]. On the other hand, two isoforms of neuregulin act as short- and long-term attractants that demarcate the migratory route of cortical interneurons . Another group of signaling molecules that is expressed widely in the basal telencephalon during interneuron migration is the ephrins and their receptors, the Eph receptor tyrosine kinases. As will be described later, recent findings from our lab provided direct evidence for distinct roles of Eph/ephrin interactions in the guidance of cortical interneuron migration.
The mammalian Eph/ephrin system consists of a family of receptor tyrosine kinases subdivided into 9 EphAs and 5 EphBs. A-type receptors bind to all A-type ephrins (ephrinA1–5), which are tethered to the cell membrane by a GPI anchor. B-type receptors bind to all B-type ephrins (ephrinB1–3), which have a transmembrane domain that is followed by a short cytoplasmatic region. An exception is EphA4, which can bind to both A-type and B-type ligands [26–28]. A distinctive feature of this signaling system is that an Eph receptor can also act as a ligand in the same manner that an ephrin ligand can act as a receptor. Ephrin binding induces Eph forward signaling; however, ephrins can also signal into the cell, which is called reverse signaling (for review, see [29–31]). Using a library of riboprobes for all members of the Eph/ephrin gene family, we systematically mapped with in situ hybridizations the complete set of these wiring molecules at different developmental stages. Our results revealed that many members of the Eph/ephrin system can be detected in the developing telencephalon and that they exhibit highly dynamic expression patterns [32, 33]. Based on the spatial and temporal expression patterns we could make some prediction about the potential roles of these wiring molecules in regulating the tangential migration of cortical interneurons. These hypotheses have then been tested with different bioassays in vitro and in diverse gene-targeted mouse lines directly in vivo.
For example, we could demonstrate that ephrin-A3, which is expressed in the striatum, prevents migrating cortical interneurons from invading this inappropriate region . We could also show that ephrin-A5 is expressed in the VZ of the ganglionic eminences, the dorsal boundary of the migratory route of MGE-derived interneurons, and that this molecule serves as an inhibitory border to channel these neurons into the subventricular zone . Thus, as illustrated in Figure 2, the deep corridor of migrating cortical interneurons is at least in part defined by the concerted action of two different ephrin-A ligands, with ephrin-A5 flanking the dorsal portion and ephrin-A3 the ventral portion of this migratory stream.
These repulsive effects are mediated by the EphA4 receptor, which is expressed by cortical interneurons [32, 34]. As already mentioned above, particular interneuron subtypes are generated in a temporally regulated manner in the MGE, CGE, and POA of the basal telencephalon. We could reveal that POA- and MGE-derived cortical interneurons migrate within spatially segregated corridors. Ephrin-B3, expressed in POA-derived interneurons traversing the superficial route, acts as a repellent signal for deeply migrating interneurons born in the MGE, which is mediated by EphA4 forward signaling. In contrast, EphA4 induces repulsive ephrin-B3 reverse signaling in interneurons generated in the POA, restricting this population to the superficial path (Figure 3). Perturbation of this bidirectional ephrin-B3/EphA4 signaling in vitro and in ephrin-B3/EphA4 double mutants in vivo leads to a partial intermingling of cells in these segregated migratory pathways and—as shown in Figure 4—to a delayed migration of calbindin-positive interneurons to the cortex. Thus cell contact-mediated bidirectional ephrin-B3/EphA4 signaling mediates the sorting of MGE- and POA-derived interneurons in the deep and superficial migratory stream .
We could also demonstrate that EphA4-induced reverse signaling has a motogenic effect of MGE-derived interneurons. In these experiments we first used different in vitro assays for cell migration and found that recombinant EphA4 stimulates the migratory speed of cortical interneurons. Thus, in addition to its established role in providing cell-contacted mediated repulsion, EphA4 can also tune the molecular machinery for neuronal migration. The ephrin ligands mediating EphA4 reverse signaling and the signal transduction cascade involved in this process are currently under investigation. However, in order to study the function of EphA4 on interneuron migration in vivo, we already examined cortical interneurons in an EphA4 knockout mouse line. We found that there was a delayed relocation of calbindin-positive interneurons into the cortex .
3. Disrupting Interneuron Migration by Disrupted-in-Schizophrenia 1
Disrupted-in-Schizophrenia 1 (DISC1) is a prominent susceptibility gene for major psychiatric disorders [36, 37]. The biological functions attributed to the DISC1 protein are complex and highly diverse. For example, previous work suggested that DISC1 plays an important role during neuronal proliferation, differentiation, neurite outgrowth, and synapse formation (reviewed in [38, 39]). There are also some studies that report that DISC1 is a necessary component for the correct positioning of radially migrating cortical pyramidal neurons [40, 41]. This prompted us to study the potential role of DISC1 for interneuron migration.
For this we first performed RT-PCR, in situ hybridization and immunostainings to verify that DISC1 is expressed in the MGE at the appropriate developmental stages. We also examined the subcellular distribution of DISC1. As illustrated in Figure 5, DISC1 is expressed in the tips of the leading processes. In addition, we also found DISC1 immunoreactivity at the rear of the nucleus, opposite to the leading process. A closer inspection revealed that DISC1 colocalizes with LIS1, previously described as a centrosomal protein  (Figure 6). Thus DISC1 is found in important strategic positions to control the molecular machinery involved in interneuron migration, for example, by interacting with cytoskeletal proteins tubulin and actin, motor proteins of the dynein and kinesin family, and regulatory proteins [40, 43].
To examine the functional role of DISC1 during interneuron migration, we performed in utero and ex utero electroporation to suppress DISC1 in the MGE in vivo and in vitro. Our results indicate that, after DISC1 knockdown, the proportion of tangentially migrating MGE neurons that reached their cortical target was reduced by 15%. In addition, there were profound alterations in the morphology of DISC1-deficient neurons, which exhibited longer and less branched leading processes than control cells .
These results indicate that DISC1 has an impact on the migratory behaviour of interneurons during early development that might lead to deficits in the number and/or composition of GABAergic neurons in the cortex. As mentioned in Section 1, dysfunctions of local GABAergic circuits have been often associated with the pathophysiology of schizophrenia . Thus our findings support the notion that schizophrenia is a neurodevelopmental disease that may result from defects in interneuron integration .
4. Inhibitory Regulation of Sensory Cortical Plasticity
Vulnerability for psychiatric diseases is not uniform throughout life, but is increased during certain stages of pre- and postnatal development [46, 47]. The factors that make neuronal subsystems especially open for environmental influences during well-defined, so-called critical periods have been the subject of much research in the neurosciences. As a typical example, the binocular visual cortex exhibits a well-studied critical period during which, under undisturbed conditions, the orientation preferences for stimuli seen through one versus the other eye are harmonised in visual cortical neurons . It has long been known that temporary closure (i.e., monocular deprivation) of one eye during this critical period will shift the excitability of cortical neurons towards the open eye [49, 50]. This critical period for ocular dominance plasticity starts a few days after eye opening in mice, has a maximum at about postnatal day 28, and ends at around postnatal day 32, when short periods of deprivation have no detectable effect in the cortex . Longer periods of deprivation, however, are still able to induce ocular dominance plasticity until postnatal day 100 (P100), but no longer (Figure 7, ).
The mechanisms regulating this period of enhanced plasticity have been the subject of intense research for many years. It has become obvious that the critical period is initiated by a shift in the cortical balance of excitation and inhibition [52, 53] (see  for review), a shift that is effected by the maturation of fast-spiking GABAergic interneurons, the so-called basket cells which are characterised by their expression of parvalbumin . Thus, the start of the critical period is delayed in knockout mice lacking the GABA synthesising enzyme GAD65 and is triggered in these mice as soon as inhibition at GABAA receptors is increased by the intracerebral infusion of diazepam . Enhanced inhibition in early childhood prepones the start of the critical period [53, 56, 57]. On the other hand, several interventions have been shown in recent years to reinstate critical period-like plasticity in adult animals by reducing intracortical inhibition: treatment with the antidepressant fluoxetine allows for ocular dominance plasticity in adult rats ; the effect is accompanied by reduced cortical GABA levels and prevented by diazepam infusion. Additionally, fluoxetine treatment promotes the recovery from amblyopia of adult rats . The same holds true for environmental enrichment, and again diazepam infusion averts the effect . Indeed, directly attenuating GABA release by a GAD inhibitor reestablishes CP-like plasticity in adult rats .
Thus, it seems that GABAergic neurons single-handedly regulate visual cortical plasticity, and this impression is even enhanced by the recent observation that intracortical transplantation of embryonal cells from the medial ganglionic eminence (MGE), which are destined to become GABAergic cortical interneurons, induces a period of enhanced plasticity in mice beyond the critical period . Interestingly, this effect is only present during a narrow time frame when the transplanted cells have a certain cellular age (33 to 35 day) corresponding to the age they would have had during the natural critical period in normal development.
Surprising as this active time window may be, it is in line with a lot of research on the activity-dependent maturation of parvalbumin-containing interneurons in the visual cortex. Before and during the critical period for ocular dominance plasticity, the strength of cortical inhibition triples. This increase is prevented by dark rearing which also delays the critical period . Further research specified that the number of perisomatic boutons around pyramidal cells in the visual cortex increases until postnatal day 28, which marks the peak of the critical period; again, visual deprivation prevented the increase . These results imply that the maturation of basket cells is necessary for the start of the critical period for ocular dominance plasticity, and they show that this maturation is activity dependent. As mentioned above, transsynaptic transfer of the homeoprotein Otx2 from the retina, which is triggered by light perception, has been shown to induce the maturation of parvalbumin-containing interneurons and the start of the critical period . A high concentration of polysialic acid (PSA), which traps Otx2 , has been shown to prevent the start of the critical period, such that premature removal of PSA leads to an earlier maturation of parvalbumin-expressing cells and a preponed critical period . Recent work has elucidated to a large degree the cell-autonomous mechanisms that promote the developmental synapse formation in basket cells: a knockdown of the GABA-synthesizing enzyme GAD67 leads to deficits in axon branching and perisomatic synapse formation, whereas overexpression of GAD67 speeds up these processes , (see  for review). Thus, inhibitory innervation patterns are regulated by the cell’s own activity, which in turn depends on GABA synthesis. An interesting recent twist in this story is the finding that the complete blockade of GABA synthesis in single cells does not, as one would expect, shrink axonal arbors drastically, but contrariwise increases their density and complexity . The authors of that study suggest a model according to which basket cells make tentative contacts with many potential postsynaptic targets, which are pruned or stabilized by synaptic activity. While little activity is sufficient to remove, but not to stabilize connections, complete blockade allows for neither and therefore keeps axonal complexity and synapse number high . In summary, visual stimulation induces the maturation of parvalbumin-containing basket cells, which is internally regulated by GABAergic activity, and shifts the excitation-inhibition balance of visual cortical neurons such that critical period plasticity becomes possible.
While it seems established that GABAergic inhibition controls the level of cortical plasticity, it is much less clear in how far GABAergic neurons are involved in the expression of plastic changes. Even after the drastic reduction of visual cortical inhibition just about the level that would evoke seizures, the ocular dominance shift evoked by monocular deprivation can be observed, and complete silencing of intracortical connections by muscimol confirms that the effective changes are expressed at thalamocortical synapses . Indeed, ocular dominance plasticity is dependent on Hebbian plasticity at NMDA receptors [70–72]. Do inhibitory interneurons, then, participate in synaptic plasticity at all?
Several studies have tried to answer this question. Using calcium imaging, one recent study showed that GABAergic neurons are more binocular, that is, less dominated by one eye, in normal mice, but show a similar shift toward the open eye after monocular deprivation during the critical period . If monocular deprivation was performed after the critical period, the ocular dominance shift of GABAergic neurons was even stronger than that of excitatory neurons. Another study, however, provided somewhat conflicting results: In vivo intracellular recording from pyramidal cells and fast-spiking interneurons showed that while excitatory cells have a normal bias towards the contralateral eye which they rapidly lose after a short monocular deprivation, fast-spiking interneurons were unbiased at the outset, showed a paradoxical shift towards the closed eye after short deprivation, and only shifted on to an ipsilateral bias after longer deprivation periods . The discrepancies may arise from differences in anaesthesia and method or simply from the fact that the latter study focused on fast-spiking, parvalbumin-containing interneurons which play a central role in regulating the critical period for ocular dominance plasticity, whereas the Kameyama study did not distinguish among GABAergic neuronal subtypes. Both studies agree, however, that intracortical inhibition changes in response to monocular deprivation, and in adult plasticity, this change may even have a stronger influence on network function than the relatively small change in excitatory transmission .
In another primary sensory area, the somatosensory cortex, the role of GABAergic interneurons in the response to sensory deprivation has been firmly established in recent years (see  for review). If a single row of whiskers was removed in mice starting on postnatal day 7, the number of parvalbumin-positive interneurons was significantly reduced in the cortical barrels representing that row, whereas it was increased in adjacent barrels . This loss of parvalbumin expression went along with a lower number of perisomatic synaptic varicosities and weaker inhibitory transmission, an effect that required experience-dependent release of BDNF . Further research confirmed the reduction in parvalbumin expression and showed that, upon whisker trimming, fast-spiking interneurons in the barrel cortex, but not other kinds of nonpyramidal cells, become less excitable, while their excitatory thalamocortical input is reduced . Interestingly, these findings are somewhat at variance with earlier research demonstrating that in rats in which a row of whiskers was plucked between postnatal days 1 and 60, the number of GABAergic synapses on dendritic spines, but not on somata, was strongly reduced in the deprived barrels  (see  for review). A potential approach to reconcile these conflicting results might be that whisker trimming at a very early age delays the maturation of cortical inhibition in a similar way as dark rearing does in the visual cortex. Here, this kind of deprivation also results in reduced parvalbumin expression . As parvalbumin-positive interneurons mature quickly before the onset of the critical period for ocular dominance plasticity in the visual cortex [63, 82], so they do in the somatosensory cortex between postnatal days 10 and 30 . It is conceivable that only a longer period of deprivation (two months in ) allows for the full adaptation to changed input.
Although such issues still need to be clarified, it appears that the mechanisms regulating sensory plasticity are similar in different cortical areas (see  for review), involving the expression of parvalbumin and the formation of perisomatic synapses by basket interneurons in both the somatosensory and the visual cortex. In the auditory cortex, too, similar processes seem to control critical period plasticity [85, 86]. This uniformity of function across the neocortex holds a promise for our ability to understand cortical plasticity, but a lot of work still remains to be done to understand the cellular and network mechanisms by which plasticity is enabled.
5. Age-Related Decline of Inhibition and Signal Processing
Perceptual sensitivity declines in old age. In aged humans, visual acuity and contrast sensitivity decline in an accelerated fashion [87–89]. In order to test in how far mice might serve as an animal model of age-related vision loss in humans, we have just shown that, in pigmented mice, too, visual acuity and contrast sensitivity deteriorate, starting at approx. 18 months of age, and the progressive loss parallels that which is seen in humans . While age-related degradations in the sensory organs certainly impair access to the environment, there has been a long-standing notion that central nervous changes may also contribute to the decline in visual or somatosensory function [91, 92]. Indeed, we could show in the same study that visual cortical activity, as measured by optical imaging of intrinsic signals, and cortex-dependent behavioural plasticity were strongly reduced in old mice (Figure 8, ).
A precise connection between cellular changes and visual function loss in old animals has been achieved in macaques. In these animals, orientation tuning of visual cortical neurons is reduced to the point of being scarcely detectable [93, 94]. Electrophoretic application of GABA or the the GABA agonist muscimol to the recorded neurons, however, restored orientation selectivity similar to that seen in young animals, whereas the GABA receptor antagonist bicuculline abolished orientation tuning in visual cortical neurons of young monkeys . A similar degradation of visual cortical function, that is, decreased orientation sensitivity, higher spontaneous activity, and lower signal-to-noise ratio, was observed in aged cats and, partly, in rats [95, 96]. Looking for the reason of this decrease in intracortical inhibition, Hua and colleagues  found the density and proportion of GABA-immunopositive neurons in the cat visual cortex to be decreased by about half in old compared to young animals, whereas there was no change in the number of excitatory neurons.
Does this loss of inhibitory interneurons affect all GABAergic subtypes equally? In humans and dogs it appears that basket cells characterised by parvalbumin are remarkably resilient to old age [98, 99]. This fits to the most recent finding that the activity of parvalbumin-containing interneurons has almost no effect on the orientation tuning of visual cortical pyramidal cells , whereas a genetically induced loss of dendrite-targeting interneurons leads to impaired orientation tuning in the mouse visual cortex . The density of calbindin-immunoreactive interneurons, in contrast, is diminished in almost all of the aged human brain, but significantly so only in a few areas, among them the primary visual cortex . The density of calretinin-positive neurons is also affected by age, but mostly in temporal areas. Somewhat conflicting results were found in the somatosensory and motor cortices of rats, where the density of both parvalbumin- and somatostatin-positive interneurons was found to be decreased in old animals . It is as yet unclear whether the discrepancy concerning parvalbumin-positive cells is due to differences in brain region, strain, or species. It appears certain, however, that some kinds of GABAergic interneurons are lost during ageing and that this loss may be the reason for the functional degradation found in old animals. This knowledge may provide a basis for future therapeutic interventions.
Despite being only a minority of all cortical neurons, inhibitory interneurons have a key role in modulating cortical function and plasticity, and even subtle impairments to the integrity of these cells can lead to severe neuronal and psychiatric disturbances. It is therefore crucial to understand the development of GABAergic interneurons, their integration into cortical circuits, and the factors necessary for their preservation. In consequence, it might become possible to treat neuronal disorders at their basic circuit level.
- S. R. Y. Cajal, “Structure and connections of neurons,” Bulletin of the Los Angeles Neurological Society, vol. 17, no. 1-2, pp. 5–46, 1952.
- E. G. Jones, “Varieties and distribution of non pyramidal cells in the somatic sensory cortex of the squirrel monkey,” Journal of Comparative Neurology, vol. 160, no. 2, pp. 205–267, 1975.
- J. DeFelipe, “Cortical interneurons: from Cajal to 2001,” Progress in Brain Research, vol. 136, pp. 215–238, 2002.
- Y. Kawaguchi and S. Kondo, “Parvalbumin, somatostatin and cholecystokinin as chemical markers for specific GABAergic interneuron types in the rat frontal cortex,” Brain Cell Biology, vol. 31, no. 3-5, pp. 277–287, 2002.
- R. Batista-Brito and G. Fishell, “Chapter 3 the developmental Integration of cortical interneurons into a functional network,” Current Topics in Developmental Biology, vol. 87, pp. 81–118, 2009.
- H. Markram, M. Toledo-Rodriguez, Y. Wang, A. Gupta, G. Silberberg, and C. Wu, “Interneurons of the neocortical inhibitory system,” Nature Reviews Neuroscience, vol. 5, no. 10, pp. 793–807, 2004.
- G. A. Ascoli, L. Alonso-Nanclares, S. A. Anderson et al., “Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex,” Nature Reviews Neuroscience, vol. 9, no. 7, pp. 557–568, 2008.
- R. Batista-Brito, R. MacHold, C. Klein, and G. Fishell, “Gene expression in cortical interneuron precursors is prescient of their mature function,” Cerebral Cortex, vol. 18, no. 10, pp. 2306–2317, 2008.
- G. Sanacora, G. F. Mason, and J. H. Krystal, “Impairment of GABAergic transmission in depression: new insights from neuroimaging studies,” Critical Reviews in Neurobiology, vol. 14, no. 1, pp. 23–45, 2000.
- J. M. Rennie and G. B. Boylan, “Neonatal seizures and their treatment,” Current Opinion in Neurology, vol. 16, no. 2, pp. 177–181, 2003.
- P. Levitt, “Developmental neurobiology and clinical disorders: lost in translation?” Neuron, vol. 46, no. 3, pp. 407–412, 2005.
- D. A. Lewis, T. Hashimoto, and D. W. Volk, “Cortical inhibitory neurons and schizophrenia,” Nature Reviews Neuroscience, vol. 6, no. 4, pp. 312–324, 2005.
- P. Levitt, K. L. Eagleson, and E. M. Powell, “Regulation of neocortical interneuron development and the implications for neurodevelopmental disorders,” Trends in Neurosciences, vol. 27, no. 7, pp. 400–406, 2004.
- P. Rakic, “Radial versus tangential migration of neuronal clones in the developing cerebral cortex,” Proceedings of the National Academy of Sciences of the United States of America, vol. 92, no. 25, pp. 11323–11327, 1995.
- A. A. Lavdas, M. Grigoriou, V. Pachnis, and J. G. Parnavelas, “The medial ganglionic eminence gives rise to a population of early neurons in the developing cerebral cortex,” Journal of Neuroscience, vol. 19, no. 18, pp. 7881–7888, 1999.
- J. G. Parnavelas, S. A. Anderson, A. A. Lavdas, M. Grigoriou, V. Pachnis, and J. L. R. Rubenstein, “The contribution of the ganglionic eminence to the neuronal cell types of the cerebral cortex,” Novartis Foundation Symposium, vol. 228, pp. 129–147, 2000.
- S. A. Anderson, O. Marín, C. Horn, K. Jennings, and J. L. R. Rubenstein, “Distinct cortical migrations from the medial and lateral ganglionic eminences,” Development, vol. 128, no. 3, pp. 353–363, 2001.
- O. Marín and J. L. R. Rubenstein, “A long, remarkable journey: tangential migration in the telencephalon,” Nature Reviews Neuroscience, vol. 2, no. 11, pp. 780–790, 2001.
- S. Nery, H. Wichterle, and G. Fishell, “Sonic hedgehog contributes to oligodendrocyte specification in the mammalian forebrain,” Development, vol. 128, no. 4, pp. 527–540, 2001.
- H. Wichterle, D. H. Turnbull, S. Nery, G. Fishell, and A. Alvarez-Buylla, “In utero fate mapping reveals distinct migratory pathways and fates of neurons born in the mammalian basal forebrain,” Development, vol. 128, no. 19, pp. 3759–3771, 2001.
- L. R. Hernández-Miranda, J. G. Parnavelas, and F. Chiara, “Molecules and mechanisms involved in the generation and migration of cortical interneurons,” ASN Neuro, vol. 2, no. 2, pp. 75–86, 2010.
- E. Rossignol, “Genetics and function of neocortical GABAergic interneurons in neurodevelopmental disorders,” Neural Plasticity, vol. 2011, Article ID 649325, 2011.
- O. Marín, A. Yaron, A. Bagri, M. Tessier-Lavigne, and J. L. R. Rubenstein, “Sorting of striatal and cortical interneurons regulated by semaphorin-neuropilin interactions,” Science, vol. 293, no. 5531, pp. 872–875, 2001.
- W. Andrews, M. Barber, L. R. Hernadez-Miranda et al., “The role of Slit-Robo signaling in the generation, migration and morphological differentiation of cortical interneurons,” Developmental Biology, vol. 313, no. 2, pp. 648–658, 2008.
- N. Flames, J. E. Long, A. N. Garratt et al., “Short- and long-range attraction of cortical GABAergic interneurons by neuregulin-1,” Neuron, vol. 44, no. 2, pp. 251–561, 2004.
- J. G. Flanagan and P. Vanderhaeghen, “The ephrins and Eph receptors in neural development,” Annual Review of Neuroscience, vol. 21, pp. 309–345, 1998.
- J. P. Himanen, M. J. Chumley, M. Lackmann et al., “Repelling class discrimination: Ephrin-A5 binds to and activates EphB2 receptor signaling,” Nature Neuroscience, vol. 7, no. 5, pp. 501–509, 2004.
- A. Martínez and E. Soriano, “Functions of ephrin/Eph interactions in the development of the nervous system: emphasis on the hippocampal system,” Brain Research Reviews, vol. 49, no. 2, pp. 211–226, 2005.
- A. Davy and P. Soriano, “Ephrin signaling in vivo: look both ways,” Developmental Dynamics, vol. 232, no. 1, pp. 1–10, 2005.
- R. Klein, “Bidirectional modulation of synaptic functions by Eph/ephrin signaling,” Nature Neuroscience, vol. 12, no. 1, pp. 15–20, 2009.
- J. Egea and R. Klein, “Bidirectional Eph-ephrin signaling during axon guidance,” Trends in Cell Biology, vol. 17, no. 5, pp. 230–238, 2007.
- J. Rudolph, G. Zimmer, A. Steinecke, S. Barchmann, and J. Bolz, “Ephrins guide migrating cortical interneurons in the basal telencephalon,” Cell Adhesion and Migration, vol. 4, no. 3, pp. 400–408, 2010.
- G. Zimmer, J. Rudolph, J. Landmann et al., “Bidirectional EphrinB3/EphA4 signaling mediates the segregation of medial ganglionic eminence-and preoptic area-derived interneurons in the deep and superficial migratory stream,” Journal of Neuroscience, vol. 31, no. 50, pp. 18364–18380, 2011.
- G. Zimmer, P. Garcez, J. Rudolph et al., “Ephrin-A5 acts as a repulsive cue for migrating cortical interneurons,” European Journal of Neuroscience, vol. 28, no. 1, pp. 62–73, 2008.
- A. Steinecke, J. Rudolph, G. Zimmer, S. Barchmann, and J. Bolz, “A dual role of EphA4 signaling in the basal telencephalon during interneuron migration,” Society for Neuroscience, Abstract, 2010, Neuroscience Meeting Planner.
- D. H. Blackwood, P. M. Visscher, and W. J. Muir, “Genetic studies of bipolar affective disorder in large families,” The British Journal of Psychiatry, vol. 41, pp. s134–s136, 2001.
- J. E. Chubb, N. J. Bradshaw, D. C. Soares, D. J. Porteous, and J. K. Millar, “The DISC locus in psychiatric illness,” Molecular Psychiatry, vol. 13, no. 1, pp. 36–64, 2008.
- N. J. Brandon and A. Sawa, “Linking neurodevelopmental and synaptic theories of mental illness through DISC1,” Nature Reviews Neuroscience, vol. 12, no. 12, pp. X707–X722, 2011.
- N. J. Brandon, J. K. Millar, C. Korth, H. Sive, K. K. Singh, and A. Sawa, “Understanding the role of DISC1 in psychiatric disease and during normal development,” Journal of Neuroscience, vol. 29, no. 41, pp. 12768–12775, 2009.
- A. Kamiya, K. I. Kubo, T. Tomoda et al., “A schizophrenia-associated mutation of DISC1 perturbs cerebral cortex development,” Nature Cell Biology, vol. 7, no. 12, pp. 1067–1078, 2005.
- T. L. Young-Pearse, S. Suth, E. S. Luth, A. Sawa, and D. J. Selkoe, “Biochemical and functional interaction of disrupted-in-schizophrenia 1 and amyloid precursor protein regulates neuronal migration during mammalian cortical development,” Journal of Neuroscience, vol. 30, no. 31, pp. 10431–10440, 2010.
- N. J. Brandon, E. J. Handford, I. Schurov et al., “Disrupted in Schizophrenia 1 and Nudel form a neurodevelopmentally regulated protein complex: implications for schizophrenia and other major neurological disorders,” Molecular and Cellular Neuroscience, vol. 25, no. 1, pp. 42–55, 2004.
- Q. Wang and N. J. Brandon, “Regulation of the cytoskeleton by Disrupted-in-Schizophrenia 1 (DISC1),” Molecular and Cellular Neuroscience, vol. 48, no. 4, pp. 359–364, 2011.
- A. Steinecke, C. Gampe, C. Valkova, C. Kaether, and J. Bolz, “Disrupted-in-schizophrenia 1 (DISC1) is necessary for the correct migration of cortical interneurons,” Journal of Neuroscience, vol. 32, no. 2, pp. 738–745, 2012.
- D. A. Lewis and P. Levitt, “Schizophrenia as a disorder of neurodevelopment,” Annual Review of Neuroscience, vol. 25, pp. 409–432, 2002.
- P. Kalus, D. Senitz, and H. Beckmann, “Disturbances of corticogenesis in schizophrenia: morphological findings provide new evidence for the maldevelopmental hypothesis,” Neuropsychobiology, vol. 40, no. 1, pp. 1–13, 1999.
- F. Bagorda, G. Teuchert-Noodt, and K. Lehmann, “Isolation rearing or methamphetamine traumatisation induce a "dysconnection" of prefrontal efferents in gerbils: implications for schizophrenia,” Journal of Neural Transmission, vol. 113, no. 3, pp. 365–379, 2006.
- B. S. Wang, R. Sarnaik, and J. Cang, “Critical period plasticity matches binocular orientation preference in the visual cortex,” Neuron, vol. 65, no. 2, pp. 246–256, 2010.
- D. H. Hubel and T. N. Wiesel, “The period of susceptibility to the physiological effects of unilateral eye closure in kittens,” Journal of Physiology, vol. 206, no. 2, pp. 419–436, 1970.
- J. A. Gordon and M. P. Stryker, “Experience-dependent plasticity of binocular responses in the primary visual cortex of the mouse,” Journal of Neuroscience, vol. 16, no. 10, pp. 3274–3286, 1996.
- K. Lehmann and S. Löwel, “Age-dependent ocular dominance plasticity in adult mice,” PLoS ONE, vol. 3, no. 9, Article ID e3120, 2008.
- T. K. Hensch, M. Fagiolini, N. Mataga, M. P. Stryker, S. Baekkeskov, and S. F. Kash, “Local GABA circuit control of experience-dependent plasticity in developing visual cortex,” Science, vol. 282, no. 5393, pp. 1504–1508, 1998.
- M. Fagiolini and T. K. Hensch, “Inhibitory threshold for critical-period activation in primary visual cortex,” Nature, vol. 404, no. 6774, pp. 183–186, 2000.
- T. K. Hensch, “Critical period regulation,” Annual Review of Neuroscience, vol. 27, pp. 549–579, 2004.
- S. Sugiyama, A. A. Di Nardo, S. Aizawa et al., “Experience-dependent transfer of Otx2 homeoprotein into the visual cortex activates postnatal plasticity,” Cell, vol. 134, no. 3, pp. 508–520, 2008.
- J. L. Hanover, Z. J. Huang, S. Tonegawa, and M. P. Stryker, “Brain-derived neurotrophic factor overexpression induces precocious critical period in mouse visual cortex,” The Journal of Neuroscience, vol. 19, no. 22, p. RC40, 1999.
- Z. J. Huang, A. Kirkwood, T. Pizzorusso et al., “BDNF regulates the maturation of inhibition and the critical period of plasticity in mouse visual cortex,” Cell, vol. 98, no. 6, pp. 739–755, 1999.
- J. F. M. Vetencourt, A. Sale, A. Viegi et al., “The antidepressant fluoxetine restores plasticity in the adult visual cortex,” Science, vol. 320, no. 5874, pp. 385–388, 2008.
- A. Sale, J. F. Maya Vetencourt, P. Medini et al., “Environmental enrichment in adulthood promotes amblyopia recovery through a reduction of intracortical inhibition,” Nature Neuroscience, vol. 10, no. 6, pp. 679–681, 2007.
- A. Harauzov, M. Spolidoro, G. DiCristo et al., “Reducing intracortical inhibition in the adult visual cortex promotes ocular dominance plasticity,” Journal of Neuroscience, vol. 30, no. 1, pp. 361–371, 2010.
- D. G. Southwell, R. C. Froemke, A. Alvarez-Buylla, M. P. Stryker, and S. P. Gandhi, “Cortical plasticity induced by inhibitory neuron transplantation,” Science, vol. 327, no. 5969, pp. 1145–1148, 2010.
- B. Morales, S. Y. Choi, and A. Kirkwood, “Dark rearing alters the development of GABAergic transmission in visual cortex,” Journal of Neuroscience, vol. 22, no. 18, pp. 8084–8090, 2002.
- B. Chattopadhyaya, G. Di Cristo, H. Higashiyama et al., “Experience and activity-dependent maturation of perisomatic GABAergic innervation in primary visual cortex during a postnatal critical period,” Journal of Neuroscience, vol. 24, no. 43, pp. 9598–9611, 2004.
- A. H. Joliot, A. Triller, M. Volovitch, C. Pernelle, and A. Prochiantz, “α-2,8-polysialic acid is the neuronal surface receptor of antennapedia homeobox peptide,” New Biologist, vol. 3, no. 11, pp. 1121–1134, 1991.
- G. Di Cristo, B. Chattopadhyaya, S. J. Kuhlman et al., “Activity-dependent PSA expression regulates inhibitory maturation and onset of critical period plasticity,” Nature Neuroscience, vol. 10, no. 12, pp. 1569–1577, 2007.
- B. Chattopadhyaya, G. Di Cristo, C. Z. Wu et al., “GAD67-mediated GABA synthesis and signaling regulate inhibitory synaptic innervation in the visual cortex,” Neuron, vol. 54, no. 6, pp. 889–903, 2007.
- Z. J. Huang, G. Di Cristo, and F. Ango, “Development of GABA innervation in the cerebral and cerebellar cortices,” Nature Reviews Neuroscience, vol. 8, no. 9, pp. 673–686, 2007.
- X. Wu, Y. Fu, G. Knott, J. Lu, G. D. Cristo, and Z. Josh Huang, “GABA signaling promotes synapse elimination and axon pruning in developing cortical inhibitory interneurons,” Journal of Neuroscience, vol. 32, no. 1, pp. 331–343, 2012.
- L. A. Khibnik, K. K. A. Cho, and M. F. Bear, “Relative contribution of feedforward excitatory connections to expression of ocular dominance plasticity in layer 4 of visual cortex,” Neuron, vol. 66, no. 4, pp. 493–500, 2010.
- A. Kleinschmidt, M. F. Bear, and W. Singer, “Blockade of 'NMDA' receptors disrupts experience dependent plasticity of kitten striate cortex,” Science, vol. 238, no. 4825, pp. 355–358, 1987.
- N. B. Sawtell, M. Y. Frenkel, B. D. Philpot, K. Nakazawa, S. Tonegawa, and M. F. Bear, “NMDA receptor-dependent ocular dominance plasticity in adult visual cortex,” Neuron, vol. 38, no. 6, pp. 977–985, 2003.
- M. Sato and M. P. Stryker, “Distinctive features of adult ocular dominance plasticity,” Journal of Neuroscience, vol. 28, no. 41, pp. 10278–10286, 2008.
- K. Kameyama, K. Sohya, T. Ebina, A. Fukuda, Y. Yanagawa, and T. Tsumoto, “Difference in binocularity and ocular dominance plasticity between GABAergic and excitatory cortical neurons,” Journal of Neuroscience, vol. 30, no. 4, pp. 1551–1559, 2010.
- Y. Yazaki-Sugiyama, S. Kang, H. Cteau, T. Fukai, and T. K. Hensch, “Bidirectional plasticity in fast-spiking GABA circuits by visual experience,” Nature, vol. 462, no. 7270, pp. 218–221, 2009.
- Q. Q. Sun, “The missing piece in the “use it or lose it” puzzle: is inhibition regulated by activity or does it act on its own accord?” Reviews in the Neurosciences, vol. 18, no. 3-4, pp. 295–310, 2007.
- Y. Jiao, C. Zhang, Y. Yanagawa, and Q. Q. Sun, “Major effects of sensory experiences on the neocortical inhibitory circuits,” Journal of Neuroscience, vol. 26, no. 34, pp. 8691–8701, 2006.
- Y. Jiao, Z. Zhang, C. Zhang et al., “A key mechanism underlying sensory experience-dependent maturation of neocortical GABAergic circuits in vivo,” Proceedings of the National Academy of Sciences of the United States of America, vol. 108, no. 29, pp. 12131–12136, 2011.
- Q. Q. Sun, “Experience-dependent intrinsic plasticity in interneurons of barrel cortex layer IV,” Journal of Neurophysiology, vol. 102, no. 5, pp. 2955–2973, 2009.
- K. D. Micheva and C. Beaulieu, “An anatomical substrate for experience-dependent plasticity of the rat barrel field cortex,” Proceedings of the National Academy of Sciences of the United States of America, vol. 92, no. 25, pp. 11834–11838, 1995.
- K. D. Micheva and C. Beaulieu, “Development and plasticity of the inhibitory neocortical circuitry with an emphasis on the rodent barrel field cortex: a review,” Canadian Journal of Physiology and Pharmacology, vol. 75, no. 5, pp. 470–478, 1997.
- T. Pizzorusso, P. Medini, N. Berardi, S. Chierzi, J. W. Fawcett, and L. Maffei, “Reactivation of ocular dominance plasticity in the adult visual cortex,” Science, vol. 298, no. 5596, pp. 1248–1251, 2002.
- M. S. Lazarus and Z. Josh Huang, “Distinct maturation profiles of perisomatic and dendritic targeting GABAergic interneurons in the mouse primary visual cortex during the critical period of ocular dominance plasticity,” Journal of Neurophysiology, vol. 106, no. 2, pp. 775–787, 2011.
- K. D. Micheva and C. Beaulieu, “Quantitative aspects of synaptogenesis in the rat barrel field cortex with special reference to GABA circuitry,” Journal of Comparative Neurology, vol. 373, no. 3, pp. 340–354, 1996.
- K. Fox and R. O. L. Wong, “A comparison of experience-dependent plasticity in the visual and somatosensory systems,” Neuron, vol. 48, no. 3, pp. 465–477, 2005.
- E. De Villers-Sidani, K. L. Simpson, Y. F. Lu, R. C. S. Lin, and M. M. Merzenich, “Manipulating critical period closure across different sectors of the primary auditory cortex,” Nature Neuroscience, vol. 11, no. 8, pp. 957–965, 2008.
- T. R. Barkat, D. B. Polley, and T. K. Hensch, “A critical period for auditory thalamocortical connectivity,” Nature Neuroscience, vol. 14, pp. 1189–1194, 2011.
- L. Frisen and M. Frisen, “How good is normal visual acuity? A study of letter acuity thresholds as a function of age,” Albrecht von Graefes Archiv fur Klinische und Experimentelle Ophthalmologie, vol. 215, no. 3, pp. 149–157, 1980.
- D. B. Elliott, K. C. H. Yang, and D. Whitaker, “Visual acuity changes throughout adulthood in normal, healthy eyes: seeing beyond 6/6,” Optometry and Vision Science, vol. 72, no. 3, pp. 186–191, 1995.
- T. Ferrer-Blasco, J. M. González-Méijome, and R. Montés-Micó, “Age-related changes in the human visual system and prevalence of refractive conditions in patients attending an eye clinic,” Journal of Cataract and Refractive Surgery, vol. 34, no. 3, pp. 424–432, 2008.
- K. Lehmann, K.-F. Schmidt, and S. Löwel, “Vision and visual plasticity in ageing mice,” Restorative Neurology and Neuroscience, vol. 30, no. 2, pp. 161–178, 2012.
- P. D. Spear, “Neural bases of visual deficits during aging,” Vision Research, vol. 33, no. 18, pp. 2589–2609, 1993.
- B. Godde, T. Berkefeld, M. David-Jürgens, and H. R. Dinse, “Age-related changes in primary somatosensory cortex of rats: evidence for parallel degenerative and plastic-adaptive processes,” Neuroscience and Biobehavioral Reviews, vol. 26, no. 7, pp. 743–752, 2002.
- M. T. Schmolesky, Y. Wang, M. Pu, and A. G. Leventhal, “Degradation of stimulus selectivity of visual cortical cells in senescent rhesus monkeys,” Nature Neuroscience, vol. 3, no. 4, pp. 384–390, 2000.
- A. G. Leventhal, Y. Wang, M. Pu, Y. Zhou, and Y. Ma, “GABA and its agonists improved visual cortical function in senescent monkeys,” Science, vol. 300, no. 5620, pp. 812–815, 2003.
- T. Hua, X. Li, L. He, Y. Zhou, Y. Wang, and A. G. Leventhal, “Functional degradation of visual cortical cells in old cats,” Neurobiology of Aging, vol. 27, no. 1, pp. 155–162, 2006.
- H. Wang, X. Xie, X. Li, B. Chen, and Y. Zhou, “Functional degradation of visual cortical cells in aged rats,” Brain Research, vol. 1122, no. 1, pp. 93–98, 2006.
- T. Hua, C. Kao, Q. Sun, X. Li, and Y. Zhou, “Decreased proportion of GABA neurons accompanies age-related degradation of neuronal function in cat striate cortex,” Brain Research Bulletin, vol. 75, no. 1, pp. 119–125, 2008.
- J. Bu, V. Sathyendra, N. Nagykery, and C. Geula, “Age-related changes in calbindin-D28k, calretinin, and parvalbumin-immunoreactive neurons in the human cerebral cortex,” Experimental Neurology, vol. 182, no. 1, pp. 220–231, 2003.
- M. Pugliese, J. L. Carrasco, M. C. Geloso, J. Mascort, F. Michetti, and N. Mahy, “γ-aminobutyric acidergic interneuron vulnerability to aging in canine prefrontal cortex,” Journal of Neuroscience Research, vol. 77, no. 6, pp. 913–920, 2004.
- B. V. Atallah, W. Bruns, M. Carandini, and M. Scanziani, “Parvalbumin-expressing interneurons linearly transform cortical responses to visual stimuli,” Neuron, vol. 73, no. 1, pp. 159–170, 2012.
- R. Mao, J. Schummers, U. Knoblich et al., “Influence of a subtype of inhibitory interneuron on stimulus-specific responses in visual cortex,” Cerebral Cortex, vol. 22, no. 3, pp. 493–508, 2012.
- R. Miettinen, J. Sirvio, P. Riekkinen, M. P. Laakso, M. Riekkinen, and P. Riekkinen, “Neocortical, hippocampal and septal parvalbumin- and somatostatin-containing neurons in young and aged rats: correlation with passive avoidance and water maze performance,” Neuroscience, vol. 53, no. 2, pp. 367–378, 1993.