- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Volume 2013 (2013), Article ID 683909, 12 pages
Activity-Dependent NPAS4 Expression and the Regulation of Gene Programs Underlying Plasticity in the Central Nervous System
1Centre for Nanotechnology Innovation, Italian Institute of Technology, Piazza San Silvestro 12, 56127 Pisa, Italy
2Centre for Neuroscience and Cognitive Systems, Italian Institute of Technology, Corso Bettini 31, 38068 Rovereto, Italy
Received 5 May 2013; Accepted 9 July 2013
Academic Editor: Alessandro Sale
Copyright © 2013 José Fernando Maya-Vetencourt. 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.
The capability of the brain to change functionally in response to sensory experience is most active during early stages of development but it decreases later in life when major alterations of neuronal network structures no longer take place in response to experience. This view has been recently challenged by experimental strategies based on the enhancement of environmental stimulation levels, genetic manipulations, and pharmacological treatments, which all have demonstrated that the adult brain retains a degree of plasticity that allows for a rewiring of neuronal circuitries over the entire life course. A hot spot in the field of neuronal plasticity centres on gene programs that underlie plastic phenomena in adulthood. Here, I discuss the role of the recently discovered neuronal-specific and activity-dependent transcription factor NPAS4 as a critical mediator of plasticity in the nervous system. A better understanding of how modifications in the connectivity of neuronal networks occur may shed light on the treatment of pathological conditions such as brain damage or disease in adult life, some of which were once considered untreatable.
The interaction between genetic and environmental factors lies behind the neuronal representation of sensory stimuli in the nervous system. The environment largely modifies brain structure and function through mechanisms of neuronal plasticity. Sensory experience actually drives the refinement of immature neural circuitries into organized patterns of synaptic connectivity that subserve adult brain functions .
Environmental influences play a key role in sculpting the central nervous system architecture during early life, when neural circuitries are highly sensitive to experience (reviewed in [2, 3]). This seems to be a period of time (so called critical period) in which an individual acquires an indelible memory of relevant stimuli in the environment, which ensures proper development of sensory functions and/or behaviours. An emerging view in the field of plasticity is that the effects caused by early developmental experience in the remodeling of neural networks seem to be actively preserved by the late appearance of structural and functional factors that restrict plasticity over the time course. This feature seems to be of relevance in terms of adaptive functions but determines diminished plasticity in the adult brain, which in turn severely restricts the functional reorganization of the nervous system thus posing a limit for feasible clinical interventions after brain injury or disease in humans (for review see [4, 5]).
The capacity of neural circuitries to change in response to sensory experience is of high relevance in fields of neuronal rehabilitation and brain repair. This is clear, for instance, in the case of stroke, which is a major cause of long-term disability for which there is currently no clinical treatment. Reactivating juvenile-like plasticity in the adult brain would be beneficial in poststroke patients, whose recovery depends on a reorganization of neuronal networks in adult life (reviewed in ).
How does experience modify synaptic circuitries in the brain? Experience-dependent modifications of brain functions depend, at least partially, on gene expression patterns that have evolved to meet specific environmental demands. The structure and function of the BDNF gene are a compelling example of physiological mechanisms by which experience-dependent plasticity is achieved. Since promoter areas of the BDNF gene are differentially regulated by distinct neurotransmitter systems, the levels of which vary in response to environmental influences (for review see ), BDNF protein synthesis in the brain is regulated by experience in a spatiotemporal-dependent manner [8, 9]. This neurotrophin drives different forms of synaptic plasticity and therefore epitomizes how the nervous system mediates fast adaptive responses to changing environmental conditions.
A hot spot in the neuroscience field is the identification of physiological mechanisms associated with experience that trigger alterations in the pattern of DNA methylation and/or posttranslational modifications of histones that in turn control the expression of genes underlying phenomena of plasticity in the brain (reviewed by [10, 11]). Indeed, epigenetic mechanisms that exert a long-lasting control of gene expression by modifying chromatin structure rather than changing the DNA sequence itself have been recognized as experience-dependent mechanisms that regulate the occurrence of brain plasticity ([12–15], reviewed in [16–18]).
Transcriptional mechanisms that are mediated by immediate early genes (IEGs) and lie behind the occurrence of plasticity in the nervous system have also been subject of recent studies (, for review see [20, 21]). It is becoming increasingly clear that experience-dependent plasticity is achieved when neuronal activity triggers intracellular signal pathways that promote the induction of IEGs (e.g., c-Fos, c-Jun, CREB, and Zif268) that in turn control the expression of downstream targets, the products of which then work via the activation of structural and functional mechanisms that eventually modify the strength of synaptic connections so as to change the computational properties of neural networks in the brain (reviewed in [20–22]).
In this review, I shall focus on the role of the recently discovered neuronal-specific transcription factor NPAS4 as a key regulator of brain plasticity and cognition. It has been suggested that NPAS4 may be involved in phenomena of plasticity after local [23, 24] and global [24, 25] cerebral ischemia, seizures [26, 27], and brain injury [25, 27, 28]. More recently, it has been reported that the NPAS4 transcription factor plays a key role in mediating a transcriptional program underlying amygdala-dependent  and hippocampal-dependent  processes of memory, social, and cognitive functions . The upregulation of NPAS4 in the striate nucleus after chronic amphetamine administration , which is a pharmacological model of plasticity with high relevance for mechanisms of addiction [33, 34], has also been described. Moreover, impairments of neurogenesis and deficits in fear  and spatial memories  by social isolation and chronic stress seem to be associated with the transcriptional suppression of the NPAS4 gene , suggesting a central role for this transcription factor as a mediator of plasticity. Here, I will highlight recent advances that have brought to light some of the structural and functional mechanisms underlying the action of NPAS4 in experience-dependent plasticity. I shall also cover novel findings on NPAS4-mediated gene programs that lie behind phenomena of cortical plasticity caused by either pharmacological treatments or experimental strategies based on the enhancement of environmental stimulation levels in adult life.
2. Neuronal Activity and NPAS4-Mediated Gene Expression Patterns
Studies aimed at the identification of genes that mediate the activity-dependent regulation of inhibitory synapses formation during development, revealed that NPAS4 is an IEG induced by neuronal activity that seems to lie behind homeostatic mechanisms that keep neuronal firing in response to sensory experience within normal levels .
The exposure of primary neuronal cultures to high levels of potassium chloride leads to membrane depolarization and calcium influx through L-type voltage-sensitive calcium channels . The resulting increase in intracellular calcium levels then triggers calcium-dependent signaling pathways that eventually mediate changes in gene transcription. The analysis of DNA microarrays upon this experimental design, in cortical neurons of young mice when development of inhibitory synapses is underway, revealed that NPAS4 is a transcription factor regulated by neuronal activity, whose expression parallels the development of inhibitory synaptic contacts .
NPAS4 is selectively induced by calcium influx only in neurons but not in other cell types. The expression of NPAS4, unlike other activity-dependent transcription factors such as CREB and c-Fos, is triggered selectively by excitatory synaptic transmission but not by neurotrophic factors . As observed in the cortex, NPAS4 expression in primary hippocampal neurons increases with the formation and maturation of synaptic contacts that occur during development, presumably, because of enhanced endogenous spontaneous levels of activity. Of note, NPAS4 expression in response to stimulation of primary sensory areas has been reported; visual experience in mice after one week of dark exposure actually increases mRNA and protein levels of NPAS4 in visual cortex pyramidal cells . Interestingly, the expression of NPAS4 seems to take place predominantly in excitatory neurons.
The induction of NPAS4 promotes GABA-mediated inhibitory transmission during development. Studies in hippocampal cell cultures, using shRNA interference (shRNAi) against NPAS4 and immunohistochemistry for both the GABA synthetizing enzyme GAD65 and the GABAA-receptor 2 subunit as pre- and postsynaptic markers, respectively, revealed that the downregulation of NPAS4 expression markedly reduces inhibitory synaptic contacts formation on perisomatic and dendritic regions of excitatory neurons, suggesting that this transcription factor positively regulates the number of inhibitory synapses that form during early life. These findings were confirmed by recordings of miniature inhibitory postsynaptic currents (mIPSCs) in CA1 pyramidal cells, which decrease in amplitude after NPAS4 downregulation by NPAS4-shRNAi infection . Furthermore, experiments performed in conditional knockout mice () in which the NPAS4 gene is selectively deleted by CRE-mediated recombination revealed that CRE expression leads to a significant increase of interevent intervals of mIPSCs, thus showing that CA1 pyramidal neurons lacking NPAS4 receive fewer inhibitory synaptic inputs. In contrast, increasing NPAS4 levels in cultured hippocampal neurons enhances the formation of inhibitory synapses, as suggested by a marked increase in the number of the GABAA-receptor 2 subunits. In line with this, expression of NPAS4 in CA1 pyramidal neurons increases the amplitude of mIPSCs while decreasing mIPSCs interevent intervals, consistent with an enhanced inhibitory synaptic signaling .
Notably, modifications of excitatory synaptic transmission also seem to occur after alterations of NPAS4 expression. In addition to the induction of genes that control the development of inhibition, NPAS4 also seems to regulate a gene program that includes a wide variety of transcription factors, genes encoding channel proteins, G-protein signaling molecules, protein kinases and phosphatases, and genes involved in membrane receptors trafficking and synaptic transmission . Moreover, it has been reported that NPAS4 mediates BDNF expression in primary cortical neurons [30, 38, 40, 41]. BDNF is reduced in neurons with decreased levels of NPAS4 after lentiviral NPAS4-shRNAi infection and primary cell cultures from NPAS4 knockout mice consistently show a similar reduction of depolarization-induced BDNF expression . Chromatin immunoprecipitation (ChIP) studies have shown that NPAS4 binds to the BDNF promoters I and IV in membrane-depolarized neurons, indicating that NPAS4 directly mediates the activity-dependent BDNF transcription. This phenomenon seems to underlie, at least partially, the effect of NPAS4 in increasing the formation of inhibitory synapses, as the number of inhibitory synaptic contacts induced by NPAS4 is moderately attenuated in cells in which BDNF has been knocked down by BDNF-shRNAi infection. Accordingly, the enhancement of inhibition caused by NPAS4 in CA1 neurons is partially but not totally attenuated by knocking down BDNF levels .
In summary, NPAS4 induction in response to excitatory transmission appears to mediate a reduction of neuronal activity levels and therefore may function as a homeostatic mechanism during phases of enhanced excitability . To what extent NPAS4 mediates, directly or indirectly, the development of inhibitory synaptic contacts formed by different types of GABAergic interneurons on excitatory cells is an open question that remains to be explored. Further studies of NPAS4 physiological functions may shed light on mechanisms by which experience-dependent neuronal activity regulates the balance between inhibition and excitation in the brain and how alterations in such a balance may contribute to pathological conditions such as Down syndrome, Autism, and Rett syndrome in which inhibitory transmission seems to be altered [42–44].
3. NPAS4 Upregulates a Gene Program That Underlies Memory Formation
The formation and storage of memories are a classical example of experience-dependent plasticity mechanisms that allow an individual to modify behaviour by learning. What structural and functional changes occur in the brain as we learn? It is well established that there are stages in memory that are encoded as modifications in the strength of synapses that correlate with behavioural phases of short- and long-term memory.
Pioneering studies from molluscs to flies, and mammals revealed highly conserved signal transduction pathways that are critical for the occurrence of synaptic plasticity underlying the establishment of long-term memories. These conserved pathways involve calcium-mediated activation of intracellular protein kinases, translocation of these proteins to the nucleus, and subsequent activation of transcription factors that mediate gene transcription (for review see ). Activation of Glutamate N-methyl-D-aspartate (NMDA)-receptors , for instance, seems to induce phosphorylation of CREB, which causes alterations of chromatin structure that allow for the induction of gene programs and de novo synthesis of proteins that eventually mediate long-term changes of synaptic transmission during learning  (Figure 1).
In rodents, the hippocampus is involved in the formation of memory for new environments or contexts (reviewed by ), this phenomenon being dependent on the activation of the CA3 hippocampal area [49–51]. Contextual memory formation can be examined using the contextual fear conditioning (CFC) task (for review see ), which consists of exposure of an animal to a given context in which an electric shock, that may or may not be accompanied by a tone, occurs. After training in this protocol, wild-type animals normally remember and associate the context with the aversive shock experience, which can be later evaluated in terms of freezing behaviour; 1 hour or 24 hours after training, the animals are exposed to the same aversive context to explore either short- or long-term contextual memory, respectively. Using this experimental paradigm, a novel role for NPAS4 in the regulation of contextual memory formation has been recently uncovered .
These studies initially evaluated the expression of the IEGs c-Fos, Arc, and NPAS4 in the dorsal hippocampus of mice that were exposed to the CFC task and sacrificed at different time points. Notably, NPAS4 expression was found to peak much before that of c-Fos and Arc; NPAS4 mRNA reached its peak after 5 min of training, returning to basal levels of expression after 4.5 hours. Instead, c-Fos and Arc reached their peak levels of expression after 30 min of training . These findings highlight a hierarchical genetic program in which NPAS4 is upstream of several other IEGs in the dorsal hippocampal area. This notion was later confirmed by the observation that conditional deletion of the NPAS4 gene by CRE recombination in hippocampal neurons of transgenic mice results in a marked loss of c-Fos, Arc, and Zif268 expression .
Learning and memory deficits were also evaluated in NPAS4 knockout (NPAS4−/−) mice. After 5 min of training in the CFC test, robust freezing behaviour was observed in both wild-type and NPAS4−/− littermates, indicating that learning capabilities were normal in NPAS4−/− animals. In contrast, freezing behaviour was significantly reduced 1 hour and 24 hours after CFC training, showing that both short-term and long-term memory formation is impaired in NPAS4−/− mice .
After CFC training, NPAS4 expression was localized mainly in the CA3 area of the hippocampus. The selective deletion of NPAS4 in CA3 but not in CA1 impaired long-term contextual memory formation; 24 hours after CFC training, mice injected in CA3 with a virus expressing the CRE recombinase showed attenuated freezing responses as compared with wild-type or animals injected in CA1 , thus demonstrating that deleting NPAS4 specifically in CA3 replicates the memory deficits seen in the NPAS4 knockout.
The issue of whether NPAS4 expression in the CA3 area of the NPAS4−/− background leads to the expression of the NPAS4-mediated gene program and rescues memory formation was also investigated. Remarkably, the expression of NPAS4 in CA3 completely reversed the short-term and long-term contextual memory deficits previously observed in the NPAS4−/− background; NPAS4-expressing mice in CA3 but not in CA1 showed similar freezing behaviour as wild-type control animals after either 1 hour or 24 hours of training in the CFC behavioural task . Consistently, the same experimental design also induced c-Fos expression in CA3.
In summary, this elegant set of experiments demonstrates that the activity-dependent transcription factor NPAS4 is a key mediator of plastic phenomena that underlie hippocampal-dependent contextual memory formation. On the one hand, acute deletion of the NPAS4 gene in CA3 results in a dramatic diminishment of IEGs expression and impaired contextual memory formation. On the other hand, expression of NPAS4 mRNA in NPAS4 knockout animals effectively restores both IEGs expression and memory formation.
4. Role of NPAS4 in the Regulation of Homeostatic Plasticity
The first model to provide a specific mechanism for modifications of synaptic transmission involved in associative learning was advanced by Donald Hebb in 1949; it was proposed that modifications in the strength of synapses might occur only if the use of those synapses was associated with and contributes to the generation of action potentials in the postsynaptic neuron (reviewed by ). Hebb’s principle has been summarized as follows: “neurons that fire together wire together” whereas “neurons that fire out of synchrony lose their connection.” Thus, an essential feature of this postulate is that modifications of synaptic transmission depend on coincidence activity of the presynaptic and the postsynaptic neuron. NMDA-receptors actually function as coincidence detectors in synaptic plasticity, as they open and mediate excitatory synaptic transmission only when the presynaptic release of glutamate is coupled to the postsynaptic depolarization ([54, 55], for review see ), thus fulfilling Hebb’s rule at molecular level.
Although Hebbian mechanisms provided an initial and important framework for the interpretation of neuronal network alterations, it has become clear that there are mechanisms of metaplasticity controlling changes of synaptic plasticity (reviewed by ). Indeed, due to positive feedback, Hebbian plasticity could lead to a saturation of the synaptic strength in the absence of proper constraints. There is now a general consensus that homeostatic mechanisms are regulatory adjustments that work to maintain the stability and functionality of neuronal networks when modifications of synaptic transmission are underway (reviewed in ).
A classical form of homeostatic plasticity is epitomized by the Bienenstock-Cooper-Munro (BCM) model , which states that synaptic inputs driving postsynaptic firing to high levels result in an increase in synaptic strength, whereas inputs that trigger low levels of postsynaptic firing result in a decrement of synaptic transmission. The threshold for neuronal activation in the BCM model is not fixed but changes itself as a function of postsynaptic activity, the threshold slides as to make potentiation more likely whenever average activity is low, and less likely when average activity is high (reviewed by ). This is thought to maintain the stability of synapses in neuronal circuitries upon changes of synaptic transmission.
Mechanisms of homeostatic plasticity described so far (for review see [57, 58]) include (i) synaptic scaling (i.e., scaling of the strength of excitatory synapses depending on the average activity of the postsynaptic neuron) and (ii) the regulation of intrinsic excitability (i.e., changing the way in which postsynaptic neurons integrate synaptic inputs and fire action potentials). The identification of molecular substrates underlying these forms of homeostatic plasticity, however, still needs further research. Hence, the discovery that the activity-dependent expression of NPAS4 is implicated in a transcriptional program that regulates neuronal firing responses to excitatory transmission by enhancing inhibition  is of high relevance for homeostatic plasticity research. It will be interesting to evaluate mechanisms of metaplasticity in NPAS4−/− knockout animals or in conditional mice after deletion of the NPAS4 gene by selective CRE recombination.
5. NPAS4 and Structural Plasticity in the Nervous System
Experience-dependent functional modifications of neuronal circuitries in the brain are accompanied by structural rearrangements of neuronal connectivity. Excitatory synaptic structures such as dendritic spines, for instance, are particularly sensitive to experience during development. A total lack of visual experience in early life (dark rearing) actually modifies spines morphology and density in the visual system, these two phenomena being partially reversible by subsequent light exposure . In agreement with this notion, monocular deprivation during the critical period influences motility, turnover, number, and morphology of dendritic spines in the visual cortex [62–66]. These findings highlight a correlation between the structural remodeling of single synapses and functional modifications of neural circuitries in response to changing environmental conditions.
Does structural plasticity contribute to experience-dependent changes of neuronal connectivity? This question has been recently addressed by signal optical imaging of functional responses to visual stimulation and by longitudinal two-photon imaging experiments, showing that dendritic spine dynamics of pyramidal neurons in the mouse neocortex is maximal during early stages of development but decreases thereafter, in parallel to the decline of functional plasticity that occurs over development (, for review see ). Although most studies on structural plasticity have focused on modifications in excitatory cells, there is also evidence that structural plasticity occurs in inhibitory neurons. It has been demonstrated that GABAergic interneurons in superficial layers of the visual cortex exhibit dendritic arbor growth and remodeling in adult life . Moreover, structural modifications of inhibitory synapses onto pyramidal excitatory cells seem to be a major component of plasticity in the adult mouse neocortex [69–71]. The dynamic turnover of dendritic spines on pyramidal neurons and the remodeling of interneurons dendritic arbors actually appear to be a common feature among primary sensory areas . In summary, cortical plasticity seems to be associated with a structural rearrangement of excitatory connections during early development whereas structural modifications of dendritic arbors in GABAergic interneurons seem to correlate with adult cortical plasticity.
An unresolved and interesting question in the field is whether NPAS4 activates downstream targets associated with structural plasticity in the nervous system. Very recent studies suggest that NPAS4 may be involved, at least in part, in some forms of structural plasticity. There is evidence that differentiation-induced neurite outgrowth in cell cultures is inhibited if NPAS4 expression is knocked down, whereas overexpression of NPAS4 appears to accelerate neurite outgrowth . Moreover, depolarization-induced neurite outgrowth is impaired in the hippocampus of NPAS4 knockout animals. This phenomenon appears to depend on phosphorylation of the protein synapsin-I by the cyclin-dependent protein kinase CDK5 and NPAS4 seems to mediate CDK5 expression by binding to the CDK5 gene promoter area . Whether these findings bear any physiological significance in naturally occurring processes of neuronal plasticity is an open question to be explored. It may be interesting to examine whether dendritic spines in excitatory neurons and dendritic arbors in GABAergic cells are fewer and/or lessened in the visual cortex of NPAS4−/− mice or in conditional mice after deletion of the NPAS4 gene by selective CRE recombination.
Since the expression of NPAS4 seems to take place predominantly in excitatory neurons , another interesting consideration would be to investigate whether NPAS4 influences dendritic spines turnover and density in pyramidal cells in the visual cortex. This issue is of particular relevance for the process of plasticity reactivation late in life as there is evidence that the maturation of the extracellular matrix composition during development stabilizes neuronal connectivity patterns while inhibiting structural and functional plasticity of dendritic spines . The degradation of extracellular matrix components known as chondroitin sulphate proteoglycans (CSPGs) by exogenous administration of the bacterial enzyme chondroitinase actually reinstates ocular dominance plasticity in adulthood , probably by modifying dendritic spines dynamics and associated neuronal connectivity changes in the visual cortex.
6. NPAS4 and the Regulation of Critical Period Plasticity in the Visual System
The extent to which environmental influences modify brain structure and function has been extensively studied in the developing visual system. An experience-dependent reorganization of eye-specific inputs during early life is actually the major mechanism by which neuronal connectivity is established in the primary visual cortex.
The monocular deprivation paradigm has been a classical model to assess neuronal plasticity in the visual system. Early electrophysiological and anatomical studies in cats and monkeys revealed that short periods of sensory deprivation by unilateral eye closure during early life cause major structural and functional modifications of visual cortical circuitries. Visual cortex responsiveness markedly shifts in favour of the non deprived eye after monocular deprivation during the critical period ([75–79]). In addition, the deprived eye becomes amblyopic; its visual acuity (spatial resolution) and contrast sensitivity are severely impaired [77, 79–81].
Is the activity-dependent NPAS4 expression involved in the occurrence of critical period plasticity? Before addressing this question, a brief overview of the developmental functional organization of the visual system should be considered. Sensory experience during early life signals the time course of the critical period by promoting the transfer of the protein Otx2 from the retina to the visual cortex, where Otx2 appears to drive the maturation of parvalbumin-positive GABAergic interneurons  (for review see [83, 84]). The experience-dependent developmental maturation of GABA-mediated inhibition then establishes the threshold for both the start and the end of the critical period for visual cortical plasticity [85–87]. Indeed, transgenic mice with reduced levels of intracortical inhibition due to the lack of the GABA-synthetizing enzyme GAD65 exhibit no modifications of visual cortex responsiveness after monocular deprivation in early life, whereas enhancing inhibition by exogenous administration of GABAA-receptor agonists in the knockout background rescues the impairment of plasticity [86, 87]. On the other hand, transgenic animals that show an accelerated maturation of intracortical inhibition due to BDNF overexpression in forebrain regions display a precocious development of the visual system and an accelerated end of the critical period for ocular dominance plasticity .
In summary, an initial threshold of inhibition triggers a sensitive period in which neuronal networks in the visual system are highly susceptible to sensory experience, whereas a second inhibitory threshold signals the end of this phase of enhanced plasticity (for review see ). Since the transcriptional program activated by NPAS4 enhances inhibition by promoting the expression of genes that direct the formation of inhibitory synaptic contacts , it emerges clearly that NPAS4 expression is likely involved in the regulation of the critical period for visual cortex plasticity. It will be interesting to evaluate whether NPAS4−/− animals with reduced levels of inhibition  show impairments of ocular dominance plasticity in response to monocular deprivation during early development. This could be complemented by studies of plasticity in wild-type animals after NPAS4 downregulation by selective NPAS4-shRNAi infection or in mice with a selective deletion of the NPAS4 gene by CRE recombination in the developing visual cortex. Moreover, the induction of the NPAS4-mediated gene program by infection with an NPAS4 expressing virus in the visual cortex of either wild-type or NPAS4−/− animals may be a feasible strategy to evaluate whether NPAS4 overexpression accelerates visual system development and the time course of the critical period for plasticity. Another interesting issue is whether the activation of the retinogeniculocortical transfer of the protein Otx2 in the visual pathway correlates with the activity-dependent expression of NPAS4 in pyramidal neurons of the primary visual cortex.
An alternative approach to assess the impact of NPAS4 expression in visual cortical plasticity may be rearing animals in total darkness from birth. Experiments that combine dark rearing and electrophysiology as a functional readout have demonstrated that the absence of visual inputs during development leads to a delayed maturation of the visual cortex . It will be exciting to evaluate whether dark rearing decreases the expression of NPAS4 in the visual cortex and whether the effects of dark rearing in the visual system of wild-type animals are prevented by selective NPAS4 expression.
7. NPAS4 and Visual Cortex Plasticity in Adult Life
Converging lines of evidence attribute the decline of plasticity that occurs with age to the maturation of intracortical inhibitory circuitries [85–87]. Consistently, it is possible to restore a high degree of plasticity in adult life by reducing levels of inhibition . This is in line with the observation that experimental paradigms, such as dark exposure [91–93], environmental enrichment [94–96], food restriction , long-term fluoxetine treatment [15, 98, 99], exogenous IGF-1 administration , and genetic manipulations [101, 102], all promote plasticity in adult life by shifting the intracortical inhibitory/excitatory ratio in favour of excitation.
Recent studies in rodents  and cats  have revealed that the process of plasticity reactivation appears to be a multifactorial event that comprises the action of different structural and functional mechanisms, working in parallel or in series, the sum of which results in the activation of intracellular signal pathways regulating the expression of plasticity genes (reviewed by [18, 104]). Indeed, experience-dependent modifications of chromatin structure that control gene transcription are recruited as targets of plasticity-associated processes in adulthood [14, 15, 97, 101].
Does NPAS4 drive mechanisms of visual cortex plasticity in adult life? There is evidence that NPAS4 mediates the activity-dependent expression of BDNF [30, 38, 40, 41], a neurotrophin that has been clearly linked to multiple forms of synaptic plasticity in diverse brain areas ([105–110], for review see ). Of note, chronic infusion of BDNF into the visual cortex restores susceptibility to monocular deprivation in adulthood , whereas the impairment of BDNF-trkB signaling effectively prevents the process of plasticity reactivation caused by fluoxetine in the adult visual system . These findings portray the activity-dependent NPAS4 transcription factor as an appealing candidate for the regulation of visual cortical plasticity in adulthood. The following is an overview of the potential role of NPAS4 as a mediator of plasticity induced by different noninvasive experimental approaches in the adult visual system.
7.1. Pharmacological and Environmental-Like Stimulation Approaches
Compelling experimental evidence for NPAS4-mediated transcriptional mechanisms that lie behind phenomena of visual cortex plasticity in adulthood has been recently obtained using the monocular deprivation paradigm and chronic treatment with fluoxetine as a pharmacological strategy for the induction of plasticity.
There is evidence that the plastic outcome caused by fluoxetine in adulthood is accompanied by increased levels of serotonin, reduced levels of GABAergic inhibition, and increased BDNF expression in the visual cortex . More recently, it was demonstrated that the reinstatement of plasticity caused by fluoxetine is paralleled by epigenetic modifications of chromatin structure that promote gene transcription. On the one hand, an increased histone acetylation status at BDNF promoter regions occurs in concomitance with BDNF expression . On the other, a reduction in the methylation status at the NPAS4 promoter area parallels an enhanced NPAS4 expression after pharmacological treatment . Of note, the impairment of serotonergic signaling prevents the remodeling of chromatin structure caused by the pharmacological treatment in gene promoter areas . This points toward a hierarchical model in which serotonin seems to be the primum movens in a series of signal transduction pathways leading to epigenetic modifications of chromatin structure and subsequent expression of plasticity genes in the adult visual cortex (for review see ). In this context, NPAS4 is upstream BDNF expression and seems to direct the gene program mediating this plastic phenomenon. Electrophysiological experiments in combination with gene delivery by lentiviral infection have actually shown that NPAS4 expression in the visual cortex of naïve animals restores susceptibility to monocular deprivation in adulthood. Consistently, NPAS4 downregulation by NPAS4-shRNAi in the adult visual system effectively prevents plastic events caused by fluoxetine treatment .
How does NPAS4 fit into a model of enhanced plasticity, which correlates with a decrease of inhibition in adulthood? Given that NPAS4 expression increases the formation of inhibitory synaptic contacts , one might expect NPAS4 to be inversely correlated with the occurrence of plasticity; that is, NPAS4 expression should occlude plasticity whereas NPAS4 knockdown should enhance it. This scenario, however, seems to be unlikely as there is evidence that knocking down NPAS4 expression by NPAS4-shRNAi infection in the visual cortex of naïve animals does not restore visual cortex susceptibility to monocular deprivation in adult life . Instead, based on extensive data in the hippocampus, it seems reasonable to hypothesize that the activity-dependent NPAS4 expression caused by serotonin (fluoxetine) in the adult visual cortex may turn on a transcriptional program that upregulates the expression of plasticity genes while facilitating, in parallel or in series, a functional reorganization of inhibitory circuitries that might contribute to the homeostasis of cortical excitability during this phase of enhanced plasticity . This is in line with two recent observations: (i) NPAS4 interacts with a wide variety of neuronal activity-regulated gene expression enhancers and promoters in the nervous system  and (ii) different homeostatic mechanisms assist to keep neuronal activity within normal levels as synaptic modifications of neuronal circuitries are underway in the visual cortex .
The available experimental evidence for a combined action of fluoxetine-induced serotonergic signaling, reduced levels of inhibition, and NPAS4 expression in driving adult visual cortex plasticity is consistent with a model (Figure 2) in which the serotonin-mediated shift of the intracortical inhibitory/excitatory balance that occurs in favour of excitation [15, 98] may induce the activity-dependent expression of NPAS4 . This in turn could mediate the expression of plasticity genes and subsequently promote the formation of inhibitory synaptic contacts on excitatory neurons as a compensatory mechanism for the reduction of the inhibitory tone after fluoxetine treatment. In line with this notion, there is evidence that the fluoxetine-induced mechanism of disinhibition in the visual cortex of adult animals after a brief period of monocular deprivation is accompanied by an increase in elongations of GABAergic interneuron dendritic branch tips in superficial cortical layers . Hence, this points toward a compensatory mechanism for the reduction of inhibition that involves the formation and/or strengthening of inhibitory contacts on neighbouring excitatory neurons, that is, a mechanism in which NPAS4 is likely to be involved.
Understanding how NPAS4 expression regulates inhibitory synapse density and function in the adult visual system is important to interpret these findings. It may be interesting to evaluate the time course of expression of GABAergic markers in the adult visual cortex (e.g., GAD65, GAD67, VGAT, GABAA-receptor 2 subunits, and parvalbumin) by means of immunohistochemistry in a naïve background versus a background of NPAS4 knockdown or mice with a selective deletion of the NPAS4 gene by CRE recombination. This could also be assessed in a naïve background before and after long-term fluoxetine treatment and may be complemented by electrophysiological analysis of spontaneous and evoked IPSCs to examine functional connectivity. The role of monocular deprivation in this experimental design should also be examined. The use of DNA microarrays in this context might be of relevance for the identification of NPAS4 downstream targets associated with structural and functional modifications in the adult visual system after fluoxetine treatment .
The enhancement of environmental stimulation levels has recently proved to be a powerful and noninvasive strategy to promote juvenile-like plasticity in the adult visual system. Environmental enrichment (EE) is an experimental paradigm characterized by enhanced sensory-motor activity and social stimulation that has a profound impact on brain structure and function (reviewed by ). In rodents, it has been demonstrated that short period of EE in adult life reactivates ocular dominance plasticity [94, 116] and there is evidence that resetting adult visual cortex circuitries to a more plastic stage by EE favours the rescue of sensory functions after long-term deprivation [95, 96, 117, 118]. In humans, enriching the environment in terms of body massage triggers plastic phenomena that accelerate the maturation of visual functions during development .
Does NPAS4 play a role in the effects caused by EE in visual cortical plasticity? This is a likely scenario as the reinstatement of plasticity caused by EE in adulthood is accompanied by an increment in serotonin signaling, reduced levels of inhibition, and enhanced BDNF expression , much as in the case of long-term fluoxetine treatment.
It is worth noting that decreasing BDNF signaling by exogenous administration of antisense oligonucleotides in the visual cortex of adult animals exposed to enriched environmental conditions prevents partially but not totally the shift of ocular dominance in response to monocular deprivation. Considering that NPAS4 directly promotes BDNF expression, this suggests that the effects caused by EE in visual cortical plasticity could be only partially dependent on NPAS4 expression. Another possibility is that NPAS4 drives phenomena of plasticity even in the absence of BDNF signaling and therefore could lie behind the plasticizing effects of EE in adult life. This is, however, an open question that remains to be explored. It will be interesting to assess the effects caused by EE in adult visual cortex plasticity in NPAS4−/− knockout animals or in mice with a selective deletion of the NPAS4 gene by CRE recombination.
Brief periods of visual deprivation by dark exposure and food restriction have also proved to be effective approaches to reactivate plasticity in the adult visual system. Juvenile-like ocular dominance plasticity can actually be restored in adult animals if monocular deprivation is preceded by visual deprivation  or by a reduction of the caloric intake . It may be interesting to investigate the effects caused by brief periods of dark exposure and food restriction in the NPAS4−/− knockout versus a naïve background.
8. Conclusion and Implications
Long regarded as a rather static and unchanging structure, the adult brain has increasingly been recognized as a system that retains a degree of plasticity that allows for structural and functional modifications of neuronal networks if exposed to certain experimental conditions. In animal models, it has been demonstrated that both pharmacological treatments and experimental paradigms based upon manipulation of environmental stimulation levels effectively promote a rewiring of visual cortical circuitries in adulthood. It seems reasonable to speculate that these noninvasive approaches, when combined with appropriate instructive environmental stimuli, could be exploited for clinical applications in humans. Since the decline of plasticity that occurs over the life course severely restricts the functional reorganization of neuronal circuitries, these studies are beginning to elucidate physiological processes that lie behind modifications of neuronal networks’ connectivity in adulthood in which the activity-dependent transcription factor NPAS4 seems to play a critical role. In light of this, structural and functional mechanisms leading to the activity-dependent NPAS4 expression arise as potential therapeutic targets for future development of drugs that could be used in a variety of pathological conditions in which a reorganization of neuronal circuitries is needed late in life. Long-term fluoxetine administration, indeed, not only induces NPAS4 expression , but also has been proved successful in promoting the functional recovery from stroke in humans , which is a major cause of long-term disability for which there is currently no clinical treatment.
José Fernando Maya-Vetencourt is supported by a research fellowship provided by the Italian Institute of Technology, Italy.
- L. C. Katz and C. J. Shatz, “Synaptic activity and the construction of cortical circuits,” Science, vol. 274, no. 5290, pp. 1133–1138, 1996.
- N. Berardi, T. Pizzorusso, and L. Maffei, “Critical periods during sensory development,” Current Opinion in Neurobiology, vol. 10, no. 1, pp. 138–145, 2000.
- C. N. Levelt and M. Hubener, “Critical-period plasticity in the visual cortex,” Annual Review of Neuroscience, vol. 35, pp. 309–330, 2012.
- T. K. Hensch and P. M. Bilimoria, “Re-opening windows: manipulating critical periods for brain development,” Cerebrum, vol. 2012, p. 11, 2012.
- D. Bavelier, D. M. Levi, R. W. Li, Y. Dan, and T. K. Hensch, “Removing brakes on adult brain plasticity: from molecular to behavioral interventions,” The Journal of Neuroscience, vol. 30, no. 45, pp. 14964–14971, 2010.
- R. Zorowitz and M. Brainin, “Advances in brain recovery and rehabilitation,” Stroke, vol. 42, no. 2, pp. 294–297, 2011.
- T. Aid, A. Kazantseva, M. Piirsoo, K. Palm, and T. Timmusk, “Mouse and rat BDNF gene structure and expression revisited,” Journal of Neuroscience Research, vol. 85, no. 3, pp. 525–535, 2007.
- T. Timmusk, N. Belluardo, H. Persson, and M. Metsis, “Developmental regulation of brain-derived neurotrophic factor messenger RNAs transcribed from different promoters in the rat brain,” Neuroscience, vol. 60, no. 2, pp. 287–291, 1994.
- T. Timmusk, U. Lendahl, H. Funakoshi, E. Arenas, H. Persson, and M. Metsis, “Identification of brain-derived neurotrophic factor promoter regions mediating tissue-specific, axotomy-, and neuronal activity-induced expression in transgenic mice,” Journal of Cell Biology, vol. 128, no. 1-2, pp. 185–199, 1995.
- E. Borrelli, E. J. Nestler, C. D. Allis, and P. Sassone-Corsi, “Decoding the epigenetic language of neuronal plasticity,” Neuron, vol. 60, no. 6, pp. 961–974, 2008.
- L. Zocchi and P. Sassone-Corsi, “Joining the dots: from chromatin remodeling to neuronal plasticity,” Current Opinion in Neurobiology, vol. 20, no. 4, pp. 432–440, 2010.
- J. M. Levenson, K. J. O'Riordan, K. D. Brown, M. A. Trinh, D. L. Molfese, and J. D. Sweatt, “Regulation of histone acetylation during memory formation in the hippocampus,” The Journal of Biological Chemistry, vol. 279, no. 39, pp. 40545–40559, 2004.
- A. Fischer, F. Sananbenesi, X. Wang, M. Dobbin, and L.-H. Tsai, “Recovery of learning and memory is associated with chromatin remodelling,” Nature, vol. 447, no. 7141, pp. 178–182, 2007.
- E. Putignano, G. Lonetti, L. Cancedda et al., “Developmental downregulation of histone posttranslational modifications regulates visual cortical plasticity,” Neuron, vol. 53, no. 5, pp. 747–759, 2007.
- J. F. Maya-Vetencourt, E. Tiraboschi, M. Spolidoro, E. Castrén, and L. Maffei, “Serotonin triggers a transient epigenetic mechanism that reinstates adult visual cortex plasticity in rats,” The European Journal of Neuroscience, vol. 33, no. 1, pp. 49–57, 2011.
- J. Gräff, D. Kim, M. M. Dobbin, and T. Li-Huei, “Epigenetic regulation of gene expression in physiological and pathological brain processes,” Physiological Reviews, vol. 91, no. 2, pp. 603–649, 2011.
- E. D. Nelson and L. M. Monteggia, “Epigenetics in the mature mammalian brain: effects on behavior and synaptic transmission,” Neurobiology of Learning and Memory, vol. 96, no. 1, pp. 53–60, 2011.
- J. F. Maya-Vetencourt and N. Origlia, “Visual cortex plasticity: a complex interplay of genetic and environmental influences,” Neural Plasticity, vol. 2012, Article ID 631965, 14 pages, 2012.
- E. Nedivi, D. Hevroni, D. Naot, D. Israell, and Y. Citri, “Numerous candidate plasticity-related genes revealed by differential cDNA cloning,” Nature, vol. 363, no. 6431, pp. 718–722, 1993.
- S. Loebrich and E. Nedivi, “The function of activity-regulated genes in the nervous system,” Physiological Reviews, vol. 89, no. 4, pp. 1079–1103, 2009.
- J. H. Leslie and E. Nedivi, “Activity-regulated genes as mediators of neural circuit plasticity,” Progress in Neurobiology, vol. 94, no. 3, pp. 223–237, 2011.
- C. M. Alberini, “Transcription factors in long-term memory and synaptic plasticity,” Physiological Reviews, vol. 89, no. 1, pp. 121–145, 2009.
- M. Rickhag, T. Wieloch, G. Gidö et al., “Comprehensive regional and temporal gene expression profiling of the rat brain during the first 24 h after experimental stroke identifies dynamic ischemia-induced gene expression patterns, and reveals a biphasic activation of genes in surviving tissue,” Journal of Neurochemistry, vol. 96, no. 1, pp. 14–29, 2006.
- M. Shamloo, L. Soriano, D. Von Schack et al., “Npas4, a novel helix-loop-helix PAS domain protein, is regulated in response to cerebral ischemia,” The European Journal of Neuroscience, vol. 24, no. 10, pp. 2705–2720, 2006.
- N. Ooe, K. Motonaga, K. Kobayashi, K. Saito, and H. Kaneko, “Functional characterization of basic helix-loop-helix-PAS type transcription factor NXF in vivo putative involvement in an “on demand” neuroprotection system,” The Journal of Biological Chemistry, vol. 284, no. 2, pp. 1057–1063, 2009.
- W. D. Flood, R. W. Moyer, A. Tsykin, G. R. Sutherland, and S. A. Koblar, “Nxf and Fbxo33: novel seizure-responsive genes in mice,” The European Journal of Neuroscience, vol. 20, no. 7, pp. 1819–1826, 2004.
- S.-J. Zhang, M. Zou, L. Lu et al., “Nuclear calcium signaling controls expression of a large gene pool: identification of a gene program for acquired neuroprotection induced by synaptic activity,” PLoS Genetics, vol. 5, no. 8, Article ID e1000604, 2009.
- I. Hester, S. McKee, P. Pelletier et al., “Transient expression of Nxf, a bHLH-PAS transactivator induced by neuronal preconditioning, confers neuroprotection in cultured cells,” Brain Research, vol. 1135, no. 1, pp. 1–11, 2007.
- J. E. Ploski, M. S. Monsey, T. Nguyen, R. J. DiLeone, and G. E. Schafe, “The neuronal PAS domain protein 4 (Npas4) is required for new and reactivated fear memories,” PLoS ONE, vol. 6, no. 8, Article ID e23760, 2011.
- K. Ramamoorthi, R. Fropf, G. M. Belfort et al., “Npas4 regulates a transcriptional program in CA3 required for contextual memory formation,” Science, vol. 334, no. 6063, pp. 1669–1675, 2011.
- L. Coutellier, S. Beraki, P. M. Ardestani, N. L. Saw, and M. Shamloo, “Npas4: a neuronal transcription factor with a key role in social and cognitive functions relevant to developmental disorders,” PloS ONE, vol. 7, no. 9, Article ID e46604, 2012.
- M. L. Guo, B. Xue, D. Z. Jin et al., “Upregulation of Npas4 protein expression by chronic administration of amphetamine in rat nucleus accumbens in vivo,” Neuroscience Letters, vol. 528, no. 2, pp. 210–214, 2012.
- T. Z. Shaw-Lutchman, S. Impey, D. Storm, and E. J. Nestler, “Regulation of CRE-mediated transcription in mouse brain by amphetamine,” Synapse, vol. 48, no. 1, pp. 10–17, 2003.
- W. Renthal, T. L. Carle, I. Maze et al., “ΔFosB mediates epigenetic desensitization of the c-fos gene after chronic amphetamine exposure,” The Journal of Neuroscience, vol. 28, no. 29, pp. 7344–7349, 2008.
- J. Yun, H. Koike, D. Ibi et al., “Chronic restraint stress impairs neurogenesis and hippocampus-dependent fear memory in mice: possible involvement of a brain-specific transcription factor Npas4,” Journal of Neurochemistry, vol. 114, no. 6, pp. 1840–1851, 2010.
- D. Ibi, K. Takuma, H. Koike et al., “Social isolation rearing-induced impairment of the hippocampal neurogenesis is associated with deficits in spatial memory and emotion-related behaviors in juvenile mice,” Journal of Neurochemistry, vol. 105, no. 3, pp. 921–932, 2008.
- Y. Furukawa-Hibi, J. Yun, T. Nagai, and K. Yamada, “Transcriptional suppression of the neuronal PAS domain 4 (Npas4) gene by stress via the binding of agonist-bound glucocorticoid receptor to its promoter,” Journal of Neurochemistry, vol. 123, no. 3, pp. 866–875, 2012.
- Y. Lin, B. L. Bloodgood, J. L. Hauser et al., “Activity-dependent regulation of inhibitory synapse development by Npas4,” Nature, vol. 455, no. 7217, pp. 1198–1204, 2008.
- P. L. Greer and M. E. Greenberg, “From synapse to nucleus: calcium-dependent gene transcription in the control of synapse development and function,” Neuron, vol. 59, no. 6, pp. 846–860, 2008.
- N. Ooe, K. Saito, N. Mikami, I. Nakatuka, and H. Kaneko, “Identification of a novel basic helix-loop-helix-PAS factor, NXF, reveals a Sim2 competitive, positive regulatory role in dendritic-cytoskeleton modulator drebrin gene expression,” Molecular and Cellular Biology, vol. 24, no. 2, pp. 608–616, 2004.
- P. Pruunsild, M. Sepp, E. Orav, I. Koppel, and T. Timmusk, “Identification of cis-elements and transcription factors regulating neuronal activity-dependent transcription of human BDNF gene,” The Journal of Neuroscience, vol. 31, no. 9, pp. 3295–3308, 2011.
- J. L. R. Rubenstein and M. M. Merzenich, “Model of autism: increased ratio of excitation/inhibition in key neural systems,” Genes, Brain and Behavior, vol. 2, no. 5, pp. 255–267, 2003.
- V. S. Dani, Q. Chang, A. Maffei, G. G. Turrigiano, R. Jaenisch, and S. B. Nelson, “Reduced cortical activity due to a shift in the balance between excitation and inhibition in a mouse model of rett syndrome,” Proceedings of the National Academy of Sciences of the United States of America, vol. 102, no. 35, pp. 12560–12565, 2005.
- F. Fernandez, W. Morishita, E. Zuniga et al., “Pharmacotherapy for cognitive impairment in a mouse model of down syndrome,” Nature Neuroscience, vol. 10, no. 4, pp. 411–413, 2007.
- E. R. Kandel, “The molecular biology of memory storage: a dialogue between genes and synapses,” Science, vol. 294, no. 5544, pp. 1030–1038, 2001.
- R. G. M. Morris, E. Anderson, G. S. Lynch, and M. Baudry, “Selective impairment of learning and blockade of long-term potentiation by an N-methyl-D-aspartate receptor antagonist, AP5,” Nature, vol. 319, no. 6056, pp. 774–776, 1986.
- S. Impey, D. M. Smith, K. Obrietan, R. Donahue, C. Wade, and D. R. Storm, “Stimulation of cAMP response element (CRE)-mediated transcription during contextual learning,” Nature Neuroscience, vol. 1, no. 7, pp. 595–601, 1998.
- G. Neves, S. F. Cooke, and T. V. P. Bliss, “Synaptic plasticity, memory and the hippocampus: a neural network approach to causality,” Nature Reviews Neuroscience, vol. 9, no. 1, pp. 65–75, 2008.
- T. Nakashiba, J. Z. Young, T. J. McHugh, D. L. Buhl, and S. Tonegawa, “Transgenic inhibition of synaptic transmission reveals role of CA3 output in hippocampal learning,” Science, vol. 319, no. 5867, pp. 1260–1264, 2008.
- K. Nakazawa, L. D. Sun, M. C. Quirk, L. Rondi-Reig, M. A. Wilson, and S. Tonegawa, “Hippocampal CA3 NMDA receptors are crucial for memory acquisition of one-time experience,” Neuron, vol. 38, no. 2, pp. 305–315, 2003.
- I. Lee and R. P. Kesner, “Different contributions of dorsal hippocampal subregios to emory acquisation and retrieval in contextual fear-conditioning,” Hippocampus, vol. 14, no. 3, pp. 301–310, 2004.
- R. G. Phillips and J. E. LeDoux, “Differential contribution of amygdala and hippocampus to cued and contextual fear conditioning,” Behavioral Neuroscience, vol. 106, no. 2, pp. 274–285, 1992.
- N. Le Roux, M. Amar, and P. Fossier, “Acquiring new information in a neuronal network: from Hebb's concept to homeostatic plasticity,” Journal de la Societe de Biologie, vol. 202, no. 2, pp. 143–160, 2008.
- B. M. Kampa, J. Clements, P. Jonas, and G. J. Stuart, “Kinetics of Mg2+ unblock of NMDA receptors: implications for spike-timing dependent synaptic plasticity,” Journal of Physiology, vol. 556, no. 2, pp. 337–345, 2004.
- J. A. Kauer, R. C. Malenka, and R. A. Nicoll, “NMDA application potentiates synaptic transmission in the hippocampus,” Nature, vol. 334, no. 6179, pp. 250–252, 1988.
- P. Paoletti, “Molecular basis of NMDA receptor functional diversity,” The European Journal of Neuroscience, vol. 33, no. 8, pp. 1351–1365, 2011.
- W. C. Abraham, “Metaplasticity: tuning synapses and networks for plasticity,” Nature Reviews Neuroscience, vol. 9, no. 5, pp. 387–399, 2008.
- G. G. Turrigiano, “The self-tuning neuron: synaptic scaling of excitatory synapses,” Cell, vol. 135, no. 3, pp. 422–435, 2008.
- E. L. Bienenstock, L. N. Cooper, and P. W. Munro, “Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex,” The Journal of Neuroscience, vol. 2, no. 1, pp. 32–48, 1982.
- N. S. Desai, “Homeostatic plasticity in the CNS: synaptic and intrinsic forms,” Journal of Physiology Paris, vol. 97, no. 4–6, pp. 391–402, 2003.
- W. Wallace and M. F. Bear, “A morphological correlate of synaptic scaling in visual cortex,” The Journal of Neuroscience, vol. 24, no. 31, pp. 6928–6938, 2004.
- A. Majewska and M. Sur, “Motility of dendritic spines in visual cortex in vivo: changes during the critical period and effects of visual deprivation,” Proceedings of the National Academy of Sciences of the United States of America, vol. 100, no. 26, pp. 16024–16029, 2003.
- N. Mataga, Y. Mizuguchi, and T. K. Hensch, “Experience-dependent pruning of dendritic spines in visual cortex by tissue plasminogen activator,” Neuron, vol. 44, no. 6, pp. 1031–1041, 2004.
- S. B. Hofer, T. D. Mrsic-Flogel, T. Bonhoeffer, and M. Hübener, “Experience leaves a lasting structural trace in cortical circuits,” Nature, vol. 457, no. 7227, pp. 313–317, 2009.
- D. Tropea, A. K. Majewska, R. Garcia, and M. Sur, “Structural dynamics of synapses in vivo correlate with functional changes during experience-dependent plasticity in visual cortex,” The Journal of Neuroscience, vol. 30, no. 33, pp. 11086–11095, 2010.
- S. Oray, A. Majewska, and M. Sur, “Dendritic spine dynamics are regulated by monocular deprivation and extracellular matrix degradation,” Neuron, vol. 44, no. 6, pp. 1021–1030, 2004.
- A. Holtmaat and K. Svoboda, “Experience-dependent structural synaptic plasticity in the mammalian brain,” Nature Reviews Neuroscience, vol. 10, no. 9, pp. 647–658, 2009.
- W.-C. A. Lee, H. Huang, G. Feng et al., “Dynamic remodeling of dendritic arbors in GABAergic interneurons of adult visual cortex,” PLoS Biology, vol. 4, no. 2, p. e29, 2006.
- T. Keck, V. Scheuss, R. I. Jacobsen et al., “Loss of sensory input causes rapid structural changes of inhibitory neurons in adult mouse visual cortex,” Neuron, vol. 71, no. 5, pp. 869–882, 2011.
- D. van Versendaal, R. Rajendran, H. M. Saiepour et al., “Elimination of inhibitory synapses is a major component of adult ocular dominance plasticity,” Neuron, vol. 74, no. 2, pp. 374–383, 2012.
- J. L. Chen, G. H. Flanders, W.-C. A. Lee, W. C. Lin, and E. Nedivi, “Inhibitory dendrite dynamics as a general feature of the adult cortical microcircuit,” The Journal of Neuroscience, vol. 31, no. 35, pp. 12437–12443, 2011.
- J. Yun, T. Nagai, Y. Furukawa-Hibi et al., “Neuronal Per Arnt Sim (PAS) domain protein 4 (NPAS4) regulates neurite outgrowth and phosphorylation of synapsin I,” The Journal of Biological Chemistry, vol. 288, pp. 2655–2664, 2013.
- L. de Vivo, S. Landi, M. Panniello et al., “Extracellular matrix inhibits structural and functional plasticity of dendritic spines in the adult visual cortex,” Nature Communications, vol. 4, p. 1484, 2013.
- 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.
- T. N. Wiesel and D. H. Hubel, “Single-cell responses in striate cortex of kittens deprived of vision in one eye,” Journal of neurophysiology, vol. 26, pp. 1003–1017, 1963.
- D. H. Hubel and T. N. Wiesel, “The period of susceptibility to the physiological effects of unilateral eye closure in kittens,” The Journal of Physiology, vol. 206, no. 2, pp. 419–436, 1970.
- A. Antonini and M. P. Stryker, “Rapid remodeling of axonal arbors in the visual cortex,” Science, vol. 260, no. 5115, pp. 1819–1821, 1993.
- S. LeVay, T. N. Wiesel, and D. H. Hubel, “The development of ocular dominance columns in normal and visually deprived monkeys,” The Journal of Comparative Neurology, vol. 191, no. 1, pp. 1–51, 1980.
- C. Blakemore and R. C. Van Sluyters, “Reversal of the physiological effects of monocular deprivation in kittens: further evidence for a sensitive period,” The Journal of Physiology, vol. 237, no. 1, pp. 195–216, 1974.
- C. Blakemore, F. Vital-Durand, and L. J. Garey, “Recovery from monocular deprivation in the monkey. I. Reversal of physiological effects in the visual cortex,” Proceedings of the Royal Society of London - Biological Sciences, vol. 213, no. 1193, pp. 399–423, 1981.
- G. T. Prusky and R. M. Douglas, “Developmental plasticity of mouse visual acuity,” The European Journal of Neuroscience, vol. 17, no. 1, pp. 167–173, 2003.
- 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.
- A. Rebsam and C. A. Mason, “Otx2's Incredible Journey,” Cell, vol. 134, no. 3, pp. 386–387, 2008.
- S. Sugiyama, A. Prochiantz, and T. K. Hensch, “From brain formation to plasticity: insights on Otx2 homeoprotein,” Development Growth and Differentiation, vol. 51, no. 3, pp. 369–377, 2009.
- 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.
- 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 plasticity in local cortical circuits,” Nature Reviews Neuroscience, vol. 6, no. 11, pp. 877–888, 2005.
- M. Fagiolini, T. Pizzorusso, N. Berardi, L. Domenici, and L. Maffei, “Functional postnatal development of the rat primary visual cortex and the role of visual experience: dark rearing and monocular deprivation,” Vision Research, vol. 34, no. 6, pp. 709–720, 1994.
- A. Harauzov, M. Spolidoro, G. DiCristo et al., “Reducing intracortical inhibition in the adult visual cortex promotes ocular dominance plasticity,” The Journal of Neuroscience, vol. 30, no. 1, pp. 361–371, 2010.
- H.-Y. He, B. Ray, K. Dennis, and E. M. Quinlan, “Experience-dependent recovery of vision following chronic deprivation amblyopia,” Nature Neuroscience, vol. 10, no. 9, pp. 1134–1136, 2007.
- K. L. Montey and E. M. Quinlan, “Recovery from chronic monocular deprivation following reactivation of thalamocortical plasticity by dark exposure,” Nature Communications, vol. 2, no. 1, article 317, 2011.
- H. Y. He and E. M. Quinlan, “Visual deprivation reactivates rapid ocular dominance plasticity in adult visual cortex,” The Journal of Neuroscience, vol. 226, pp. 2951–2955, 2006.
- L. Baroncelli, A. Sale, A. Viegi et al., “Experience-dependent reactivation of ocular dominance plasticity in the adult visual cortex,” Experimental Neurology, vol. 226, pp. 100–109, 2010.
- 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, pp. 679–681, 2007.
- L. Baroncelli, J. Bonaccorsi, M. Milanese et al., “Enriched experience and recovery from amblyopia in adult rats: Impact of motor, social and sensory components,” Neuropharmacology, vol. 62, no. 7, pp. 2387–2396, 2012.
- M. Spolidoro, L. Baroncelli, E. Putignano, J. F. Maya-Vetencourt, A. Viegi, and L. Maffei, “Food restriction enhances visual cortex plasticity in adulthood,” Nature Communications, vol. 2, no. 1, article 320, 2011.
- J. F. Maya-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.
- J. L. Chen, W. C. Lin, J. W. Cha, P. T. So, Y. Kubota, and E. Nedivi, “Structural basis for the role of inhibition in facilitating adult brain plasticity,” Nature Neuroscience, vol. 14, no. 5, pp. 587–596, 2011.
- J. F. Maya-Vetencourt, L. Baroncelli, A. Viegi et al., “IGF-1 restores visual cortex plasticity in adult life by reducing local GABA levels,” Neural Plasticity, vol. 2012, Article ID 250421, 10 pages, 2012.
- J. F. Maya-Vetencourt, E. Tiraboschi, D. Greco et al., “Experience-dependent expression of NPAS4 regulates plasticity in adult visual cortex,” The Journal of Physiology, vol. 590, pp. 4777–4787, 2012.
- H. Morishita, J. M. Miwa, N. Heintz, and T. K. Hensch, “Lynx1, a cholinergic brake, limits plasticity in adult visual cortex,” Science, vol. 330, no. 6008, pp. 1238–1240, 2010.
- L. Bachatene, V. Bharmauria, S. Cattan, and S. Molotchnikoff, “Fluoxetine and serotonin facilitate attractive-adaptationinduced orientation plasticity in adult cat visual cortex,” The European Journal of Neuroscience, vol. 38, no. 1, pp. 2065–2077, 2013.
- D. Tropea, A. Van Wart, and M. Sur, “Molecular mechanisms of experience-dependent plasticity in visual cortex,” Philosophical Transactions of the Royal Society B, vol. 364, no. 1515, pp. 341–355, 2009.
- A. K. McAllister, D. C. Lo, and L. C. Katz, “Neurotrophins regulate dendritic growth in developing visual cortex,” Neuron, vol. 15, no. 4, pp. 791–803, 1995.
- A. K. McAllister, L. C. Katz, and D. C. Lo, “Neurotrophin regulation of cortical dendritic growth requires activity,” Neuron, vol. 17, no. 6, pp. 1057–1064, 1996.
- E. S. Levine, R. A. Crozier, I. B. Black, and M. R. Plummer, “Brain-derived neurotrophic factor modulates hippocampal synaptic transmission by increasing N-methyl-D-aspartic acid receptor activity,” Proceedings of the National Academy of Sciences of the United States of America, vol. 95, no. 17, pp. 10235–10239, 1998.
- G. Carmignoto, T. Pizzorusso, S. Tia, and S. Vicini, “Brain-derived neurotrophic factor and nerve growth factor potentiate excitatory synaptic transmission in the rat visual cortex,” The Journal of Physiology, vol. 498, no. 1, pp. 153–164, 1997.
- H. W. Horch and L. C. Katz, “BDNF release from single cells elicits local dendritic growth in nearby neurons,” Nature Neuroscience, vol. 5, no. 11, pp. 1177–1184, 2002.
- S. Meis, T. Endres, and V. Lessmann, “Postsynaptic BDNF signalling regulates long-term potentiation at thalamo-amygdala afferents,” Journal of Physiology, vol. 590, no. 1, pp. 193–208, 2012.
- A. K. McAllister, L. C. Katz, and D. C. Lo, “Neurotrophins and synaptic plasticity,” Annual Review of Neuroscience, vol. 22, pp. 295–318, 1999.
- T.-K. Kim, M. Hemberg, J. M. Gray et al., “Widespread transcription at neuronal activity-regulated enhancers,” Nature, vol. 465, no. 7295, pp. 182–187, 2010.
- T. D. Mrsic-Flogel, S. B. Hofer, K. Ohki, R. C. Reid, T. Bonhoeffer, and M. Hübener, “Homeostatic regulation of eye-specific responses in visual cortex during ocular dominance plasticity,” Neuron, vol. 54, no. 6, pp. 961–972, 2007.
- E. Tiraboschi, R. Guirado, D. Greco et al., “Gene expression patterns underlying the reinstatement of plasticity in the adult visual system,” Neural Plasticity, vol. 2013, Article ID 605079, 8 pages, 2013.
- H. Van Praag, G. Kempermann, and F. H. Gage, “Neural Consequences of environmental enrichment,” Nature Reviews Neuroscience, vol. 1, no. 3, pp. 191–198, 2000.
- M. Mainardi, S. Landi, L. Gianfranceschi et al., “Environmental enrichment potentiates thalamocortical transmission and plasticity in the adult rat visual cortex,” Journal of Neuroscience Research, vol. 88, no. 14, pp. 3048–3059, 2010.
- P. Tognini, I. Manno, J. Bonaccorsi, M. C. Cenni, A. Sale, and L. Maffei, “Environmental enrichment promotes plasticity and visual acuity recovery in adult monocular amblyopic rats,” PLoS ONE, vol. 7, no. 4, Article ID e34815, 2012.
- L. Baroncelli, C. Braschi, and L. Maffei, “Visual depth perception in normal and deprived rats: effects of environmental enrichment,” Neuroscience, vol. 236, pp. 313–319, 2013.
- A. Guzzetta, S. Baldini, A. Bancale et al., “Massage accelerates brain development and the maturation of visual function,” The Journal of Neuroscience, vol. 29, no. 18, pp. 6042–6051, 2009.
- F. Chollet, J. Tardy, J. F. Albucher, et al., “Fluoxetine for motor recovery after acute ischaemic stroke (FLAME): a randomised placebo-controlled trial,” The Lancet Neurology, vol. 10, no. 2, pp. 123–130, 2011.