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PreviousNext
Symposium and Mini-Symposium

Emerging Mechanisms Underlying Dynamics of GABAergic Synapses

Arianna Maffei, Cécile Charrier, Maddalena Delma Caiati, Andrea Barberis, Vivek Mahadevan, Melanie A. Woodin and Shiva K. Tyagarajan
Journal of Neuroscience 8 November 2017, 37 (45) 10792-10799; https://doi.org/10.1523/JNEUROSCI.1824-17.2017
Arianna Maffei
1Department of Neurobiology and Behavior, State University of New York, Stony Brook, New York 11794-5230,
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Cécile Charrier
2Institut de Biologie de l'Ecole Normale Supérieure, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Ecole Normale Supérieure, PSL Research University, F-75005 Paris, France,
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Maddalena Delma Caiati
3Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138,
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Andrea Barberis
4Fondazione Istituto Italiano di Tecnologia, 16163 Genova GE, Italy,
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Vivek Mahadevan
5National Institute of Child Health and Human Development, Bethesda, Maryland 20892,
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Melanie A. Woodin
6Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada, and
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Shiva K. Tyagarajan
7Institute of Pharmacology and Toxicology, University of Zurich, 8057 Zurich, Switzerland
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Abstract

Inhibitory circuits are diverse, yet with a poorly understood cell biology. Functional characterization of distinct inhibitory neuron subtypes has not been sufficient to explain how GABAergic neurotransmission sculpts principal cell activity in a relevant fashion. Our Mini-Symposium brings together several emerging mechanisms that modulate GABAergic neurotransmission dynamically from either the presynaptic or the postsynaptic site. The first two talks discuss novel developmental and neuronal subtype-specific contributions to the excitatory/inhibitory balance and circuit maturation. The next three talks examine how interactions between cellular pathways, lateral diffusion of proteins between synapses, and chloride transporter function at excitatory and inhibitory synapses and facilitate inhibitory synapse adaptations. Finally, we address functional differences within GABAergic interneurons to highlight the importance of diverse, flexible, and versatile inputs that shape network function. Together, the selection of topics demonstrates how developmental and activity-dependent mechanisms coordinate inhibition in relation to the excitatory inputs and vice versa.

  • CaMKIIa
  • gephyrn
  • homeostatic plasticity
  • interneurons
  • KCC2
  • postsynaptic density

Introduction

The mechanisms underlying the control of the neuronal networks by inhibitory neurons have become a central topic of investigation in neuroscience. As studies advance, it is becoming clear that inhibitory neurotransmission is dynamic in nature and facilitates a diverse range of functions, including dendritic integration, control of neural excitability, circuit reorganization, and fine-scale refinement of network activity.

Diverse inhibitory neuron populations ensure morphological and functional specificity of GABA signaling on principal cells in a coordinated fashion (Klausberger and Somogyi, 2008; Lapray et al., 2012). Specific subcellular targeting (e.g., dendrites, soma, axon-initial segment) of postsynaptic cells by different GABAergic neurons contributes to input differences; similarly, heterogeneity within postsynaptic compartments is considered to couple inhibitory neuron-specific inputs to principal cell outputs. However, molecular events governing input coupling at different GABAergic postsynaptic sites are currently not fully understood. It is easy to conceive that many of the functional processes involving circuit maturation and fine-scale refinement of network activity depend on interactions between GABAergic and glutamatergic synapses. Hence, it is not surprising that several neurodevelopmental and neuropsychiatric disorders implicate both excitatory and inhibitory neurotransmission systems (Rubenstein and Merzenich, 2003; Nelson and Valakh, 2015; Mullins et al., 2016).

A major tenet of our Mini-Symposium is that synaptic and circuit adaptability relies on signaling cascades regulating in parallel, or even coregulating, the efficacy of GABAergic and glutamatergic transmission. Such convergence becomes apparent when concerted changes in synaptic function are produced by specific proteins, signaling molecules, as well as in the differential regulation of interacting protein complexes that are present at both excitatory and inhibitory postsynaptic compartments. This Mini-Symposium will provide evidence for six emerging concepts in the field of GABAergic inhibitory neurotransmission: (1) intrinsic molecular mechanisms coordinate excitatory and inhibitory synaptogenesis in the postsynaptic neuron; (2) developmental control of Gi/o coupled signaling shapes the function of a subset of parvalbumin (PV) interneurons in mouse PFC; (3) intracellular signaling cascades modulate synaptic protein scaffold for dynamic GABAergic neurotransmission; (4) local synaptic interactions and diffusion events coordinate glutamatergic and GABAergic synaptic plasticity; (5) protein moonlighting between glutamatergic and GABAergic synapses couple chloride homeostasis and synapse function; and (6) distinct inhibitory inputs refine and define cortical networks. The common thread for these apparently disparate topics is the discussion of “mechanisms regulating dynamics at GABAergic synapses.”

Developmental and neuron specific contributions to excitatory/inhibitory (E/I) ratios

Postsynaptic mechanisms coordinating excitatory and inhibitory synaptogenesis

The proportion of excitatory and inhibitory synapses (E/I ratio) is established early in life, before fine-scale experience-dependent refinement (Zhao et al., 2005; Soto et al., 2011; Froemke, 2015). Yet, the cell-autonomous, genetic mechanisms coordinating the development of both types of synapses are poorly understood. Recent reports on the role of a gene specifically duplicated in humans, SRGAP2 (Slit-Robo Rho GTPAse-activating protein 2), have provided new insights into the balanced development of excitatory and inhibitory synapses.

The parental gene, SRGAP2A, is highly expressed during synaptogenesis (Guerrier et al., 2009). It accumulates at both excitatory and inhibitory synapses (Fossati et al., 2016), where it promotes their maturation and limits their density. Partial duplication of SRGAP2A generated a human-specific gene, SRGAP2C, at a time corresponding to the emergence of Homo (Charrier et al., 2012; Dennis et al., 2012). SRGAP2C is expressed in the human brain along with SRGAP2A and inhibits its function (Charrier et al., 2012; Dennis et al., 2012). Similarly, in mouse neurons, SRGA2C expression or SRGAP2A inactivation delays the maturation of excitatory and inhibitory synapses, also increasing both inhibitory and excitatory synapse density. Cortical pyramidal neurons expressing SRGAP2C exhibit dendritic spines with longer necks, along with a higher occurrence of inhibitory synapses formed directly on spines. These morphological changes reflect an increased compartmentalization of synapses, which are more frequently silent in juvenile mice (Charrier et al., 2012; Fossati et al., 2016). Protracted maturation, increased synaptic density, and increased morphological complexity characterize human cortical pyramidal neurons compared with rodents or nonhuman primates (Defelipe, 2011). This suggests that SRGAP2 genes support E/I coordination in mammalian species and may contribute to distinctive properties of human neurons.

Biochemical characterization and in vivo molecular dissection of SRGAP2A function demonstrated that the protein interacts, via distinct functional domains, with major excitatory and inhibitory postsynaptic scaffolding proteins, namely, homer and gephyrin (Okada et al., 2011; Fossati et al., 2016), through which it promotes excitatory and inhibitory synaptic maturation, respectively. Furthermore, SRGAP2A limits the density of both types of synapses through its Rac1-GAP activity. With regard to inhibitory synapses, this unravels the role of SRGAP2A in promoting the growth of gephyrin clusters and the accumulation of GABAA receptors. It also highlights the role of Rac1 signaling in regulating the density of inhibitory synapses within dendrites and their subcellular distribution. Together, it is emerging that proteins, such as SRGAP2, cannot be classified as excitatory or inhibitory synapse component, instead go on to create a novel class of shared molecular component, which plays a key role in E/I coordination.

Neuronal cell specific contribution to GABAergic inhibition

Single-cell RNA sequencing (RNA-seq), combined with classical single-cell morphological and electrophysiological analysis, represents a powerful tool to disclose the exquisite functional diversity of inhibitory neuron subtypes within specific brain regions (Cembrowski et al., 2016; Tasic et al., 2016). This graded change in neuronal identity is emerging as a general feature defining neuronal development, connectivity, and function.

One specific example of cell type specific gene expression that contributes to functional identity is the Gi/o protein-coupled cannabinoid receptor (CB1r). Widely distributed in the brain, CB1r were originally thought to be localized predominantly at cholecystokinin (CCK+) presynaptic terminals where they modulate synaptic transmission and activity-dependent synaptic plasticity. However, development of novel experimental tools in recent years has identified these receptor expression and function within diverse other cell types (including glutamatergic and serotoninergic neurons, among others) (for an extensive review, see Busquets-Garcia et al., 2017), unraveling an extraordinary complexity, whose functional implications are far from being fully deciphered.

Intriguingly, the expression of CB1r is highly developmentally regulated (Caiati et al., 2012; Long et al., 2012; Yoneda et al., 2013) and plays a central role in critical period plasticity in somatosensory (Liu et al., 2008), visual (Jiang et al., 2010; Garkun and Maffei, 2014), and PFC (Cass et al., 2014; Lee et al., 2016; Renard et al., 2016; Rubino and Parolaro, 2016). However, despite the wealth of studies linking age-dependent CB1r disruption to altered cortical maturation and function (Cass et al., 2014; Raver and Keller, 2014), the precise underlying cellular mechanisms remain poorly understood.

Recent work showed that CB1r are also localized at the somatodendritic compartment in a subset of pyramidal neurons in hippocampal CA1 and regulate hyperpolarization-activated cyclic nucleotide-gated (HCN)-mediated h-current (Ih) (Maroso et al., 2016). Intriguingly, HCN channel can be enriched in parvalbumin-expressing (PV+) neurons (Omrani et al., 2015), which orchestrate cortical critical period plasticity (Hensch, 2005). New experimental evidence has revealed a surprising cell-autonomous and developmental modulation of Ih by CB1r in a subset of PV+ neurons in mouse PFC and visual cortex, highlighting a novel functional identity for a subset of PV+ cells and linking CB1r modulation of Ih currents to GABAergic inhibition.

Shared molecular pathways for plasticity at excitatory and inhibitory postsynaptic sites

Post-translational modification of protein scaffold regulates dynamic GABAergic neurotransmission

The generation and characterization of various knock-out mice lines for specific GABAA receptor (GABAAR) subunits advanced the morphological and functional understanding of circuit-specific GABAAR in the rodent brain (Rudolph and Möhler, 2014). The protein identified to play a preeminent role in the formation and maintenance of the inhibitory postsynaptic density is gephyrin, a multifunctional scaffolding protein that interacts with numerous signaling molecules, and with α1, α2, and α3 subunit-containing GABAAR (Tyagarajan and Fritschy, 2014).

Synaptic proteins are often heavily regulated by diverse post-translational modifications, including phosphorylation, acetylation, SUMOylation, ubiquitination, palmitoylation, nitrosylation, proteolytic cleavage, etc. (Tyagarajan and Fritschy, 2014). However, regulation of post-translational modifications for GABAergic synaptic function has received less attention so far compared with glutamatergic postsynapse. Several signal transduction pathways crosstalk to influence gephyrin post-translational modification, and, in turn, altering protein networks at synapses (Ghosh et al., 2016). Although these modifications are often reversible, they impact the biochemical properties of gephyrin, initiating long-lasting downstream signaling changes. Post-translational modifications of synaptic proteins are known to regulate intracellular trafficking, synapse turnover, and protein conformation changes leading to the formation of new protein networks, etc. Therefore, signaling pathways offer a dynamic springboard for adapting synaptic strength over vastly different time scales, and responding to specific synaptic inputs to ensure stability of neuronal networks following changes in connectivity or activity.

Several studies demonstrated that variations in inhibitory synaptic strength closely match changes in synaptic accumulation of gephyrin (Charrier et al., 2010; Muir et al., 2010; Tyagarajan et al., 2013; Petrini et al., 2014; Flores et al., 2015). In addition, phosphorylation, nitrosylation, palmitoylation, acetylation, and SUMOylation pathways converge onto GABAergic postsynaptic density and influence inhibitory neurotransmission (Tyagarajan et al., 2011, 2013; Dejanovic et al., 2014; Ghosh et al., 2016). More importantly, these observations have given support to the notion that GABAergic synapses are highly dynamic structures. Identification and characterization of gephyrin at the resolution of single amino acid provide the necessary molecular tools to render GABAergic synapses insensitive to specific signal transduction pathways. For example, ERK1/2 and GSK3β pathways reduce GABAergic neurotransmission by phosphorylating gephyrin at S268 and S270, respectively, resulting in destabilization of inhibitory synapses. In addition, NMDAR activity causes gephyrin phosphorylation at S305 by the CaMKIIα pathway, leading to activity-dependent adaptation at the GABAergic postsynapse (Flores et al., 2015).

Such dynamic interactions between signaling pathways may be at play in processes that have the potential to destabilize networks, such as synapse strengthening as a consequence of learning and memory consolidation. The evidence supporting common signaling pathways between GABAergic and glutamatergic synapse in baseline transmission and plasticity further demonstrates the need to explore the full extent of their molecular overlap and determine possible pathways of interactions.

Local synaptic interactions and diffusion events coordinate glutamatergic and GABAergic synaptic plasticity

The use of single-particle tracking techniques to study the lateral mobility of surface neurotransmitter receptors has offered a unique opportunity to investigate the implications of GABAAR recruitment at synapses to adjust synaptic strength (Choquet and Triller, 2013; Petrini and Barberis, 2014). Sustained network activity reduces inhibitory synaptic strength through the dispersal of GABAAR from synapses due to calcineurin-dependent increased lateral mobility of synaptic GABAARs (Bannai et al., 2009; Muir et al., 2010). Rapid dispersal of GABAAR leading to reduced inhibition is paralleled by the decreased clustering of gephyrin clustering (Bannai et al., 2009). In a reverse paradigm, Petrini et al. (2014) studied the mechanisms potentiating inhibitory neurotransmission and reported induction of chemical inhibitory LTP, where GABAARs are confined and immobilized at synapses while extrasynaptic gephyrin is actively recruited to synaptic compartments, leading to larger scaffolding. Such increase of both GABAAR and gephyrin at synapses during inhibitory LTP requires the phosphorylation of the GABAAR-β3 subunit by CaMKIIα. Likewise, the CaMKIIα phosphorylation of β3: (1) increases the surface expression of GABAARs (Houston and Smart, 2006); (2) modulates the amplitude and the kinetics of synaptic currents (Houston et al., 2008); and (3) promotes the exocytosis of the α5-containing GABAAR mediating inhibitory tonic currents (Saliba et al., 2012). In line with these findings, CaMKIIα activity has been implicated in postsynaptic mIPSC potentiation both at cerebellar (Kano et al., 1996) and hippocampal inhibitory synapses (Marsden et al., 2007). Taking into account the well-established roles for CaMKIIα in glutamatergic synaptic plasticity (Herring and Nicoll, 2016), it is emerging that CaMKIIα signaling contributes to both excitatory and inhibitory synaptic plasticity. Most kinases may phosphorylate many proteins at both excitatory and inhibitory synapses. However, selective control of phosphorylation (or other post-translational modification) at excitatory or inhibitory synapses, in contrast, may be crucial for the coordination of plasticity and synapse crosstalk.

The notion that neuronal activity may concomitantly elicit inhibitory and excitatory synaptic plasticity poses the obvious question about the spatial rules of such plasticity interplay. Glutamatergic LTP can be restricted to single-spine level (Matsuzaki et al., 2004), and dendritic calcium signaling can be shaped at single inhibitory and excitatory inputs (Chiu et al., 2013). Thus, interactions between plasticity at glutamatergic and GABAergic synapses are likely to occur in microdomains generated by diffusion of calcium, CaMKIIα, or other signaling molecules. Recently, it was revealed that desensitized GABAARs may laterally diffuse from a “donor” GABAergic synapse to an adjacent “acceptor” GABAergic synapse (spaced by 2–4 μm), where inclusion of desensitized receptors decreases the amplitude of synaptic inhibitory signals (de Luca et al., 2017). Interestingly, intracellular calcium rise due to activation of intercalated glutamatergic synapses limits the receptor diffusion-dependent functional interplay among neighboring GABAergic synapses. This short-term synaptic plasticity paradigm reveals the general concept that “local synaptic interactions” and “diffusion events” significantly shape synaptic signaling, implying that the relative distance/distribution of glutamatergic and GABAergic synapses along dendrites is an important player in activity-dependent modifications of synaptic strength.

Proteins moonlighting between GABAergic and glutamatergic synapses couple chloride homeostasis with synapse function

The strength of GABAergic transmission not only depends on synaptic conductance mediated by Cl−-permeable GABAARs but is also dependent on the gradient for Cl− across the neuronal membrane. The neuronal Cl− gradient is dynamically regulated by the cation-chloride cotransporters NKCC1 and KCC2 (Kaila et al., 2014). During embryonic development, NKCC1 expression is relatively high compared with KCC2, resulting in elevated neuronal Cl−, which renders GABAergic transmission excitatory (Pfeffer et al., 2009). Early in postnatal development, upregulation of KCC2, which transports Cl− out of the neuron, lowers intracellular Cl−, resulting in hyperpolarizing inhibitory GABAergic transmission in the mature CNS (Rivera et al., 1999; Acton et al., 2012). Thus, KCC2 is primarily responsible for what is commonly termed the GABA “switch” from excitation to inhibition (Ben-Ari et al., 2012).

Despite the importance of KCC2 for inhibition, multiple independent lines of evidence indicate that KCC2 is highly localized at excitatory postsynaptic sites: (1) immunogold electron microscopy and single-particle tracking data reveal that KCC2 is highly expressed in the vicinity of excitatory synapses (Gulyás et al., 2001; Chamma et al., 2013); (2) KCC2 plays a critical role in spine formation, excitatory synaptogenesis, and synaptic plasticity (Li et al., 2007; Gauvain et al., 2011; Chamma et al., 2012; Fiumelli et al., 2013; Chevy et al., 2015; Llano et al., 2015); and (3) KCC2 interacts with proteins associated with neuronal excitation (Banke and Gegelashvili, 2008; Ivakine et al., 2013; Mahadevan et al., 2014; Mahadevan and Woodin, 2016; Pressey et al., 2017).

More recent quantum-dot-based single-particle tracking of KCC2 in cultured hippocampal neurons reported that KCC2 laterally diffuses in the surface membrane; however, this diffusion is constrained in the vicinity of synapses (Chamma et al., 2013). Although KCC2 dwells relatively longer at excitatory synapses, it also resides at inhibitory synapses, albeit for significantly shorter periods of time (Chamma et al., 2013). The mechanism underlying the relatively tight confinement of KCC2 to excitatory synapses involves a KCC2-actin interaction, whereas the mechanism for confinement at inhibitory synapses is unknown. Thus, KCC2 appears to be a “moonlighting” protein, where individual transporter molecules can shuttle between inhibitory and excitatory synapses.

Activity regulates the confinement of KCC2 at excitatory synapses via an NMDAR-mediated Ca2+ influx, which dephosphorylates the S940 residue and activates calpain protease cleavage of the transporter, resulting in reduced KCC2 clustering and transport (Chamma et al., 2013). Not only does excitatory synaptic transmission affect KCC2 expression and function, but KCC2 also regulates excitatory synapses. Specifically, KCC2 influences postsynaptic AMPAR content (Gauvain et al., 2011) and gates activity-driven AMPAR traffic (Chevy et al., 2015). Thus, the moonlighting of KCC2 between excitatory and inhibitory synapses could play an essential role in dynamically regulating synapse equilibrium.

Detailed analysis of KCC2 interactome has revealed 181 protein interaction partners in the mouse brain (Mahadevan et al., 2017). Of these interacting proteins, 60% are localized at either excitatory or inhibitory synapses, ∼43% are exclusively expressed at excitatory synapses, whereas only ∼2% are exclusive to inhibitory synapses. Ingenuity pathway analysis identified excitatory synapse-enriched regulators of receptor recycling as top candidates for determining KCC2 expression at excitatory synapses. Furthermore, pathway analysis also identified many regulators of dendritic cytoskeleton, suggesting that these are likely candidates for constraining KCC2 at excitatory synapse loci. In addition, ∼15% of proteins in the interactome are found at both inhibitory and excitatory synapses, suggesting that KCC2 moonlighting between synapses might subserve previously unrecognized biological functions (Mahadevan et al., 2017).

What does the emerging moonlighting of KCC2 between inhibitory and excitatory synapses reveal about KCC2 function and the dynamic nature of inhibition? Ionotropic and/or metabotropic glutamate receptor could regulate KCC2 function and, thus, the strength of inhibition in the immediate vicinity of excitatory synapses. Such a notion is supported by evidence showing that inhibitory synapses can be in very close proximity to excitatory synapses (Wang et al., 2004; Chen et al., 2012; Chiu et al., 2013; Higley, 2014). Furthermore, independent studies reported activity-dependent regulation of KCC2 for inhibitory synaptic plasticity (Woodin et al., 2003; Fiumelli et al., 2005; Ormond and Woodin, 2009; Lamsa et al., 2010; Lee et al., 2011; Ormond and Woodin, 2011; Woodin and Maffei, 2011; Huang et al., 2013; Vogels et al., 2013; Mahadevan and Woodin, 2016; Nakamura et al., 2016).

But how local are these Cl− gradients or does the Cl− diffuse to neighboring synapses, altering the strength of multiple inhibitory synapses? To answer such questions precisely, further advances in Cl− imaging are required, in particular, the development of pH-insensitive Cl− indicators with suitable dynamic ranges for low Cl− concentrations. We can however make some informed estimates: it is clear that Cl− gradients can be confined to neuronal compartments (Duebel et al., 2006; Szabadics et al., 2006), but how locally those gradients are confined within a dendrite is unclear. Cl− can diffuse between synapses located in close proximity on the same dendritic branch (Ormond and Woodin, 2011), but computational studies predict that this diffusion is limited to ∼50 μm in spiny dendrites (Mohapatra et al., 2016). Determining the kinetics of Cl− diffusion within neuronal compartments is a critical avenue for future investigation that will be essential to our understanding of E/I balance.

Multiple roles for GABAergic inhibition in cortical circuits

A full understanding of the role of GABAergic inhibition in neural circuit depends not only on signaling mechanisms, but also on how inhibitory circuits are recruited. Many GABAergic neuron subgroups project locally, acting as interneurons (Fino et al., 2013; Pfeffer et al., 2013), and are thought to modulate gain (Cardin et al., 2009; Isaacson and Scanziani, 2011) and timing (Wehr and Zador, 2003) of incoming signals.

Independent reports demonstrated that diverse projection neurons can regulate GABAergic interneuron function within cortical circuits. Thalamic afferents, for example, directly regulate GABAergic neurons activity in sensory cortex (Porter et al., 2001; Hull et al., 2009; Kloc and Maffei, 2014; Delevich et al., 2015). While fast spiking, parvalbumin expressing (PV+) inhibitory neurons receive direct thalamocortical inputs in many cortical regions; the contribution of other groups of inhibitory neurons to thalamocortical circuits varies by region (Porter et al., 2001; Beierlein et al., 2003; Verbny et al., 2006; Cruikshank et al., 2010; Kloc and Maffei, 2014), suggesting differential contribution to sensory processing. Cortical GABAergic neurons are also activated by axonal projections from higher-order thalamic nuclei (Lee et al., 2010; Delevich et al., 2015; Audette et al., 2017), contributing to the cortico-thalamo-cortical loop. Afferents from higher-order nuclei often exhibit connectivity preference to groups of GABAergic neurons that inhibit other inhibitory neurons (Dávid et al., 2007; Lee et al., 2010; Audette et al., 2017). Cortical GABAergic neurons can also be directly recruited by amygdalar afferents (Dilgen et al., 2013; Haley et al., 2016), carrying information about expectation (Samuelsen et al., 2012) and about the hedonic value of sensory stimuli (Piette et al., 2012). Thus, different behavioral states can recruit different GABAergic cells, influencing functional connectivity within cortical circuits.

Somatostatin-expressing inhibitory neurons are active in awake states (Kvitsiani et al., 2013); PV-expressing neurons act as gain modulators (Cardin et al., 2008); and vasointestinal peptide-positive neurons can be activated by locomotion (Fu et al., 2014). These patterns of activation also change with context (Pakan et al., 2016), highlighting the flexibility of inhibitory neuron recruitment. Within the cortex, GABAergic neurons can be connected by electrical coupling facilitating network synchronization (Cardin et al., 2009; Veit et al., 2017). Most work aimed at understanding the role of GABAergic neurons in cortical circuit function focused on locally projecting interneurons; however, there is now well-supported evidence that inhibitory neurons can also project to subcortical regions (Melzer et al., 2017), likely contributing to modulating activity across brain areas.

In addition to fast synaptic inhibition, extrasynaptic GABAARs contribute to tonic inhibition (Kullmann et al., 2005). Volume transmission can influence circuit activity when GABAergic inhibitory neurons fire action potentials at high frequency, leading to tonic increases of GABA and following activation of a population of inhibitory neurons, neurogliaform cells (Oláh et al., 2009).

Finally, GABAergic synapses made by different groups of inhibitory neurons can locally alter their efficacy in response to patterned activity (Komatsu, 1996; Woodin et al., 2003; Maffei et al., 2006; Woodin and Maffei, 2011). GABAergic synaptic plasticity is altered during development (Lefort et al., 2013), by experience (Maffei et al., 2006; Wang and Maffei, 2014), and during learning (Letzkus et al., 2011). Such diversity within GABAergic neuron function and capacity for plasticity suggests that inhibitory neurons can play a diverse array of functions, including preserving circuit excitability (Maffei et al., 2004), as well as activity-dependent fine-scale circuit refinement.

In conclusion, in this Mini-Symposium, we discuss the emerging complexity regarding the role of GABAergic transmission in neural circuits. We report results demonstrating that specific signaling pathways are shared between excitatory and inhibitory synapses, and these pathways often share functional interactions. Identification of moonlighting proteins, such as SRGAP2, which is operational already during early brain development, and KCC2 and CaMKIIα, highlights complex aspects of synaptic transmission and plasticity. To add to this complexity, we also report the influence of CB1r on HCN channel, expressed by PV-expressing GABAergic neurons during postnatal development. These results are particularly relevant as smoking marijuana during adolescence is widely associated with impaired cognition, increased risk for psychiatric diseases, such as schizophrenia and depression, as well as increased propensity for substance abuse (Dow-Edwards and Silva, 2017). Such pathological conditions are associated with alterations in the E/I balance, highlighting the importance of investigating the mechanisms promoting coordinated regulation of E/I ratios to further our understanding of processes involved contributing to healthy circuit maturation and function.

In addition to regulating receptors, channels, and transporters, we highlighted a diverse range of cellular signaling pathways impinging upon GABAergic inhibition via the main protein scaffold gephyrin. Protein scaffolds are also fundamentally involved in regulating E/I ratios, although their effect is primarily exerted by contributing to plastic changes in synaptic strength. Emergence of protein scaffolds as signaling hubs offers yet another perspective into synaptic plasticity mechanisms connecting different neurotransmitter systems. Our data identify a central role for CaMKIIα not only in facilitating signal transduction downstream of GABAergic synapse, but also in assimilating information from other neurotransmission systems.

Finally, inhibitory neurons can be activated by a variety of inputs carrying information about different aspects of neural circuit function, including the perception of sensory stimuli and their affective dimensions, indicating that GABAergic inhibitory circuits are centrally positioned to participate in all aspects of brain function throughout life. Although much work is still needed to fully understand the role of inhibition in brain function, the scope of this Mini-Symposium was to bring to light the dynamics of interaction between inhibition and other neurotransmitter systems for healthy brain function and disease.

Footnotes

  • The authors declare no competing financial interests.

  • Correspondence should be addressed to Dr. Shiva K. Tyagarajan, Institute of Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. tyagarajan{at}pharma.uzh.ch

References

  1. ↵
    1. Acton BA,
    2. Mahadevan V,
    3. Mercado A,
    4. Uvarov P,
    5. Ding Y,
    6. Pressey J,
    7. Airaksinen MS,
    8. Mount DB,
    9. Woodin MA
    (2012) Hyperpolarizing GABAergic transmission requires the KCC2 C-terminal ISO domain. J Neurosci 32:8746–8751. doi:10.1523/JNEUROSCI.6089-11.2012 pmid:22723714
    OpenUrlAbstract/FREE Full Text
  2. ↵
    1. Audette NJ,
    2. Urban-Ciecko J,
    3. Matsushita M,
    4. Barth AL
    (2017) POm thalamocortical input drives layer-specific microcircuits in somatosensory cortex. Cereb Cortex. Advance online publication. Retrieved Mar. 10, 2017. doi: 10.1093/cercor/bhx044. doi:10.1093/cercor/bhx044 pmid:28334225
    OpenUrlCrossRefPubMed
  3. ↵
    1. Banke TG,
    2. Gegelashvili G
    (2008) Tonic activation of group I mGluRs modulates inhibitory synaptic strength by regulating KCC2 activity. J Physiol 586:4925–4934. doi:10.1113/jphysiol.2008.157024 pmid:18772206
    OpenUrlCrossRefPubMed
  4. ↵
    1. Bannai H,
    2. Lévi S,
    3. Schweizer C,
    4. Inoue T,
    5. Launey T,
    6. Racine V,
    7. Sibarita JB,
    8. Mikoshiba K,
    9. Triller A
    (2009) Activity-dependent tuning of inhibitory neurotransmission based on GABAAR diffusion dynamics. Neuron 62:670–682. doi:10.1016/j.neuron.2009.04.023 pmid:19524526
    OpenUrlCrossRefPubMed
  5. ↵
    1. Beierlein M,
    2. Gibson JR,
    3. Connors BW
    (2003) Two dynamically distinct inhibitory networks in layer 4 of the neocortex. J Neurophysiol 90:2987–3000. doi:10.1152/jn.00283.2003 pmid:12815025
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Ben-Ari Y,
    2. Khalilov I,
    3. Kahle KT,
    4. Cherubini E
    (2012) The GABA excitatory/inhibitory shift in brain maturation and neurological disorders. Neuroscientist 18:467–486. doi:10.1177/1073858412438697 pmid:22547529
    OpenUrlCrossRefPubMed
  7. ↵
    1. Busquets-Garcia A,
    2. Bains J,
    3. Marsicano G
    (2017) CB1 receptor signaling in the brain: extracting specificity from ubiquity. Advance online publication. Retrieved October 19, 2017. doi: 10.1038/npp.2017.206.
    OpenUrlCrossRef
  8. ↵
    1. Caiati MD,
    2. Sivakumaran S,
    3. Lanore F,
    4. Mulle C,
    5. Richard E,
    6. Verrier D,
    7. Marsicano G,
    8. Miles R,
    9. Cherubini E
    (2012) Developmental regulation of CB1-mediated spike-time dependent depression at immature mossy fiber-CA3 synapses. Sci Rep 2:285. doi:10.1038/srep00285 pmid:22368777
    OpenUrlCrossRefPubMed
  9. ↵
    1. Cardin JA,
    2. Palmer LA,
    3. Contreras D
    (2008) Cellular mechanisms underlying stimulus-dependent gain modulation in primary visual cortex neurons in vivo. Neuron 59:150–160. doi:10.1016/j.neuron.2008.05.002 pmid:18614036
    OpenUrlCrossRefPubMed
  10. ↵
    1. Cardin JA,
    2. Carlén M,
    3. Meletis K,
    4. Knoblich U,
    5. Zhang F,
    6. Deisseroth K,
    7. Tsai LH,
    8. Moore CI
    (2009) Driving fast-spiking cells induces gamma rhythm and controls sensory responses. Nature 459:663–667. doi:10.1038/nature08002 pmid:19396156
    OpenUrlCrossRefPubMed
  11. ↵
    1. Cass DK,
    2. Flores-Barrera E,
    3. Thomases DR,
    4. Vital WF,
    5. Caballero A,
    6. Tseng KY
    (2014) CB1 cannabinoid receptor stimulation during adolescence impairs the maturation of GABA function in the adult rat prefrontal cortex. Mol Psychiatry 19:536–543. doi:10.1038/mp.2014.14 pmid:24589887
    OpenUrlCrossRefPubMed
  12. ↵
    1. Cembrowski MS,
    2. Wang L,
    3. Sugino K,
    4. Shields BC,
    5. Spruston N
    (2016) Hipposeq: a comprehensive RNA-seq database of gene expression in hippocampal principal neurons. Elife 5:e14997. doi:10.7554/eLife.14997 pmid:27113915
    OpenUrlCrossRefPubMed
  13. ↵
    1. Chamma I,
    2. Chevy Q,
    3. Poncer JC,
    4. Lévi S
    (2012) Role of the neuronal K-Cl co-transporter KCC2 in inhibitory and excitatory neurotransmission. Front Cell Neurosci 6:5. doi:10.3389/fncel.2012.00005 pmid:22363264
    OpenUrlCrossRefPubMed
  14. ↵
    1. Chamma I,
    2. Heubl M,
    3. Chevy Q,
    4. Renner M,
    5. Moutkine I,
    6. Eugène E,
    7. Poncer JC,
    8. Lévi S
    (2013) Activity-dependent regulation of the K/Cl transporter KCC2 membrane diffusion, clustering, and function in hippocampal neurons. J Neurosci 33:15488–15503. doi:10.1523/JNEUROSCI.5889-12.2013 pmid:24068817
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. Charrier C,
    2. Machado P,
    3. Tweedie-Cullen RY,
    4. Rutishauser D,
    5. Mansuy IM,
    6. Triller A
    (2010) A crosstalk between β1 and β3 integrins controls glycine receptor and gephyrin trafficking at synapses. Nat Neurosci 13:1388–1395. doi:10.1038/nn.2645 pmid:20935643
    OpenUrlCrossRefPubMed
  16. ↵
    1. Charrier C,
    2. Joshi K,
    3. Coutinho-Budd J,
    4. Kim JE,
    5. Lambert N,
    6. de Marchena J,
    7. Jin WL,
    8. Vanderhaeghen P,
    9. Ghosh A,
    10. Sassa T,
    11. Polleux F
    (2012) Inhibition of SRGAP2 function by its human-specific paralogs induces neoteny during spine maturation. Cell 149:923–935. doi:10.1016/j.cell.2012.03.034 pmid:22559944
    OpenUrlCrossRefPubMed
  17. ↵
    1. Chen JL,
    2. Villa KL,
    3. Cha JW,
    4. So PT,
    5. Kubota Y,
    6. Nedivi E
    (2012) Clustered dynamics of inhibitory synapses and dendritic spines in the adult neocortex. Neuron 74:361–373. doi:10.1016/j.neuron.2012.02.030 pmid:22542188
    OpenUrlCrossRefPubMed
  18. ↵
    1. Chevy Q,
    2. Heubl M,
    3. Goutierre M,
    4. Backer S,
    5. Moutkine I,
    6. Eugène E,
    7. Bloch-Gallego E,
    8. Lévi S,
    9. Poncer JC
    (2015) KCC2 gates activity-driven AMPA receptor traffic through cofilin phosphorylation. J Neurosci 35:15772–15786. doi:10.1523/JNEUROSCI.1735-15.2015 pmid:26631461
    OpenUrlAbstract/FREE Full Text
  19. ↵
    1. Chiu CQ,
    2. Lur G,
    3. Morse TM,
    4. Carnevale NT,
    5. Ellis-Davies GC,
    6. Higley MJ
    (2013) Compartmentalization of GABAergic inhibition by dendritic spines. Science 340:759–762. doi:10.1126/science.1234274 pmid:23661763
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Choquet D,
    2. Triller A
    (2013) The dynamic synapse. Neuron 80:691–703. doi:10.1016/j.neuron.2013.10.013 pmid:24183020
    OpenUrlCrossRefPubMed
  21. ↵
    1. Cruikshank SJ,
    2. Urabe H,
    3. Nurmikko AV,
    4. Connors BW
    (2010) Pathway-specific feedforward circuits between thalamus and neocortex revealed by selective optical stimulation of axons. Neuron 65:230–245. doi:10.1016/j.neuron.2009.12.025 pmid:20152129
    OpenUrlCrossRefPubMed
  22. ↵
    1. Dávid C,
    2. Schleicher A,
    3. Zuschratter W,
    4. Staiger JF
    (2007) The innervation of parvalbumin-containing interneurons by VIP-immunopositive interneurons in the primary somatosensory cortex of the adult rat. Eur J Neurosci 25:2329–2340. doi:10.1111/j.1460-9568.2007.05496.x pmid:17445231
    OpenUrlCrossRefPubMed
  23. ↵
    1. Defelipe J
    (2011) The evolution of the brain, the human nature of cortical circuits, and intellectual creativity. Front Neuroanat 5:29. doi:10.3389/fnana.2011.00029 pmid:21647212
    OpenUrlCrossRefPubMed
  24. ↵
    1. Dejanovic B,
    2. Semtner M,
    3. Ebert S,
    4. Lamkemeyer T,
    5. Neuser F,
    6. Lüscher B,
    7. Meier JC,
    8. Schwarz G
    (2014) Palmitoylation of gephyrin controls receptor clustering and plasticity of GABAergic synapses. PLoS Biol 12:e1001908. doi:10.1371/journal.pbio.1001908 pmid:25025157
    OpenUrlCrossRefPubMed
  25. ↵
    1. Delevich K,
    2. Tucciarone J,
    3. Huang ZJ,
    4. Li B
    (2015) The mediodorsal thalamus drives feedforward inhibition in the anterior cingulate cortex via parvalbumin interneurons. J Neurosci 35:5743–5753. doi:10.1523/JNEUROSCI.4565-14.2015 pmid:25855185
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. de Luca E,
    2. Ravasenga T,
    3. Petrini EM,
    4. Polenghi A,
    5. Nieus T,
    6. Guazzi S,
    7. Barberis A
    (2017) Inter-synaptic lateral diffusion of GABAA receptors shapes inhibitory synaptic currents. Neuron 95:63–69.e5. doi:10.1016/j.neuron.2017.06.022 pmid:28683270
    OpenUrlCrossRefPubMed
  27. ↵
    1. Dennis MY,
    2. Nuttle X,
    3. Sudmant PH,
    4. Antonacci F,
    5. Graves TA,
    6. Nefedov M,
    7. Rosenfeld JA,
    8. Sajjadian S,
    9. Malig M,
    10. Kotkiewicz H,
    11. Curry CJ,
    12. Shafer S,
    13. Shaffer LG,
    14. de Jong PJ,
    15. Wilson RK,
    16. Eichler EE
    (2012) Evolution of human-specific neural SRGAP2 genes by incomplete segmental duplication. Cell 149:912–922. doi:10.1016/j.cell.2012.03.033 pmid:22559943
    OpenUrlCrossRefPubMed
  28. ↵
    1. Dilgen J,
    2. Tejeda HA,
    3. O'Donnell P
    (2013) Amygdala inputs drive feedforward inhibition in the medial prefrontal cortex. J Neurophysiol 110:221–229. doi:10.1152/jn.00531.2012 pmid:23657281
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Dow-Edwards D,
    2. Silva L
    (2017) Endocannabinoids in brain plasticity: cortical maturation, HPA axis function and behavior. Brain Res 1654:157–164. doi:10.1016/j.brainres.2016.08.037 pmid:27569586
    OpenUrlCrossRefPubMed
  30. ↵
    1. Duebel J,
    2. Haverkamp S,
    3. Schleich W,
    4. Feng G,
    5. Augustine GJ,
    6. Kuner T,
    7. Euler T
    (2006) Two-photon imaging reveals somatodendritic chloride gradient in retinal ON-type bipolar cells expressing the biosensor Clomeleon. Neuron 49:81–94. doi:10.1016/j.neuron.2005.10.035 pmid:16387641
    OpenUrlCrossRefPubMed
  31. ↵
    1. Fino E,
    2. Packer AM,
    3. Yuste R
    (2013) The logic of inhibitory connectivity in the neocortex. Neuroscientist 19:228–237. doi:10.1177/1073858412456743 pmid:22922685
    OpenUrlCrossRefPubMed
  32. ↵
    1. Fiumelli H,
    2. Cancedda L,
    3. Poo MM
    (2005) Modulation of GABAergic transmission by activity via postsynaptic Ca2+-dependent regulation of KCC2 function. Neuron 48:773–786. doi:10.1016/j.neuron.2005.10.025 pmid:16337915
    OpenUrlCrossRefPubMed
  33. ↵
    1. Fiumelli H,
    2. Briner A,
    3. Puskarjov M,
    4. Blaesse P,
    5. Belem BJ,
    6. Dayer AG,
    7. Kaila K,
    8. Martin JL,
    9. Vutskits L
    (2013) An ion transport-independent role for the cation-chloride cotransporter KCC2 in dendritic spinogenesis in vivo. Cereb Cortex 23:378–388. doi:10.1093/cercor/bhs027 pmid:22345354
    OpenUrlCrossRefPubMed
  34. ↵
    1. Flores CE,
    2. Nikonenko I,
    3. Mendez P,
    4. Fritschy JM,
    5. Tyagarajan SK,
    6. Muller D
    (2015) Activity-dependent inhibitory synapse remodeling through gephyrin phosphorylation. Proc Natl Acad Sci U S A 112:E65–E72. doi:10.1073/pnas.1411170112 pmid:25535349
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. Fossati M,
    2. Pizzarelli R,
    3. Schmidt ER,
    4. Kupferman JV,
    5. Stroebel D,
    6. Polleux F,
    7. Charrier C
    (2016) SRGAP2 and its human-specific paralog co-regulate the development of excitatory and inhibitory synapses. Neuron 91:356–369. doi:10.1016/j.neuron.2016.06.013 pmid:27373832
    OpenUrlCrossRefPubMed
  36. ↵
    1. Froemke RC
    (2015) Plasticity of cortical excitatory-inhibitory balance. Annu Rev Neurosci 38:195–219. doi:10.1146/annurev-neuro-071714-034002 pmid:25897875
    OpenUrlCrossRefPubMed
  37. ↵
    1. Fu Y,
    2. Tucciarone JM,
    3. Espinosa JS,
    4. Sheng N,
    5. Darcy DP,
    6. Nicoll RA,
    7. Huang ZJ,
    8. Stryker MP
    (2014) A cortical circuit for gain control by behavioral state. Cell 156:1139–1152. doi:10.1016/j.cell.2014.01.050 pmid:24630718
    OpenUrlCrossRefPubMed
  38. ↵
    1. Garkun Y,
    2. Maffei A
    (2014) Cannabinoid-dependent potentiation of inhibition at eye opening in mouse V1. Front Cell Neurosci 8:46. doi:10.3389/fncel.2014.00046 pmid:24600349
    OpenUrlCrossRefPubMed
  39. ↵
    1. Gauvain G,
    2. Chamma I,
    3. Chevy Q,
    4. Cabezas C,
    5. Irinopoulou T,
    6. Bodrug N,
    7. Carnaud M,
    8. Lévi S,
    9. Poncer JC
    (2011) The neuronal K-Cl cotransporter KCC2 influences postsynaptic AMPA receptor content and lateral diffusion in dendritic spines. Proc Natl Acad Sci U S A 108:15474–15479. doi:10.1073/pnas.1107893108 pmid:21878564
    OpenUrlAbstract/FREE Full Text
  40. ↵
    1. Ghosh H,
    2. Auguadri L,
    3. Battaglia S,
    4. Simone Thirouin Z,
    5. Zemoura K,
    6. Messner S,
    7. Acuña MA,
    8. Wildner H,
    9. Yévenes GE,
    10. Dieter A,
    11. Kawasaki H,
    12. O Hottiger M,
    13. Zeilhofer HU,
    14. Fritschy JM,
    15. Tyagarajan SK
    (2016) Several posttranslational modifications act in concert to regulate gephyrin scaffolding and GABAergic transmission. Nat Commun 7:13365. doi:10.1038/ncomms13365 pmid:27819299
    OpenUrlCrossRefPubMed
  41. ↵
    1. Guerrier S,
    2. Coutinho-Budd J,
    3. Sassa T,
    4. Gresset A,
    5. Jordan NV,
    6. Chen K,
    7. Jin WL,
    8. Frost A,
    9. Polleux F
    (2009) The F-BAR domain of srGAP2 induces membrane protrusions required for neuronal migration and morphogenesis. Cell 138:990–1004. doi:10.1016/j.cell.2009.06.047 pmid:19737524
    OpenUrlCrossRefPubMed
  42. ↵
    1. Gulyás AI,
    2. Sík A,
    3. Payne JA,
    4. Kaila K,
    5. Freund TF,
    6. Gulya AI
    (2001) The KCl cotransporter, KCC2, is highly expressed in the vicinity of excitatory synapses in the rat hippocampus. Eur J Neurosci 13:2205–2217. doi:10.1046/j.0953-816x.2001.01600.x pmid:11454023
    OpenUrlCrossRefPubMed
  43. ↵
    1. Haley MS,
    2. Fontanini A,
    3. Maffei A
    (2016) Laminar- and target-specific amygdalar inputs in rat primary gustatory cortex. J Neurosci 36:2623–2637. doi:10.1523/JNEUROSCI.3224-15.2016 pmid:26937004
    OpenUrlAbstract/FREE Full Text
  44. ↵
    1. Hensch TK
    (2005) Critical period plasticity in local cortical circuits. Nat Rev Neurosci 6:877–888. doi:10.1038/nrn1787 pmid:16261181
    OpenUrlCrossRefPubMed
  45. ↵
    1. Herring BE,
    2. Nicoll RA
    (2016) Long-term potentiation: from CaMKII to AMPA receptor trafficking. Annu Rev Physiol 78:351–365. doi:10.1146/annurev-physiol-021014-071753 pmid:26863325
    OpenUrlCrossRefPubMed
  46. ↵
    1. Higley MJ
    (2014) Localized GABAergic inhibition of dendritic Ca(2+) signalling. Nat Rev Neurosci 15:567–572. doi:10.1038/nrn3803 pmid:25116141
    OpenUrlCrossRefPubMed
  47. ↵
    1. Houston CM,
    2. Smart TG
    (2006) CaMK-II modulation of GABA(A) receptors expressed in HEK293, NG108–15 and rat cerebellar granule neurons. Eur J Neurosci 24:2504–2514. doi:10.1111/j.1460-9568.2006.05145.x pmid:17100839
    OpenUrlCrossRefPubMed
  48. ↵
    1. Houston CM,
    2. Hosie AM,
    3. Smart TG
    (2008) Distinct regulation of beta2 and beta3 subunit-containing cerebellar synaptic GABAA receptors by calcium/calmodulin-dependent protein kinase II. J Neurosci 28:7574–7584. doi:10.1523/JNEUROSCI.5531-07.2008 pmid:18650335
    OpenUrlAbstract/FREE Full Text
  49. ↵
    1. Huang Y,
    2. Wang JJ,
    3. Yung WH
    (2013) Coupling between GABA-A receptor and chloride transporter underlies ionic plasticity in cerebellar Purkinje neurons. Cerebellum 12:328–330. doi:10.1007/s12311-013-0453-3 pmid:23341142
    OpenUrlCrossRefPubMed
  50. ↵
    1. Hull C,
    2. Isaacson JS,
    3. Scanziani M
    (2009) Postsynaptic mechanisms govern the differential excitation of cortical neurons by thalamic inputs. J Neurosci 29:9127–9136. doi:10.1523/JNEUROSCI.5971-08.2009 pmid:19605650
    OpenUrlAbstract/FREE Full Text
  51. ↵
    1. Isaacson JS,
    2. Scanziani M
    (2011) How inhibition shapes cortical activity. Neuron 72:231–243. doi:10.1016/j.neuron.2011.09.027 pmid:22017986
    OpenUrlCrossRefPubMed
  52. ↵
    1. Ivakine EA,
    2. Acton BA,
    3. Mahadevan V,
    4. Ormond J,
    5. Tang M,
    6. Pressey JC,
    7. Huang MY,
    8. Ng D,
    9. Delpire E,
    10. Salter MW,
    11. Woodin MA,
    12. McInnes RR
    (2013) Neto2 is a KCC2 interacting protein required for neuronal Cl− regulation in hippocampal neurons. Proc Natl Acad Sci U S A 110:3561–3566. doi:10.1073/pnas.1212907110 pmid:23401525
    OpenUrlAbstract/FREE Full Text
  53. ↵
    1. Jiang B,
    2. Huang S,
    3. de Pasquale R,
    4. Millman D,
    5. Song L,
    6. Lee HK,
    7. Tsumoto T,
    8. Kirkwood A
    (2010) The maturation of GABAergic transmission in visual cortex requires endocannabinoid-mediated LTD of inhibitory inputs during a critical period. Neuron 66:248–259. doi:10.1016/j.neuron.2010.03.021 pmid:20435001
    OpenUrlCrossRefPubMed
  54. ↵
    1. Kaila K,
    2. Price TJ,
    3. Payne JA,
    4. Puskarjov M,
    5. Voipio J
    (2014) Cation-chloride cotransporters in neuronal development, plasticity and disease. Nat Rev Neurosci 15:637–654. doi:10.1038/nrn3819 pmid:25234263
    OpenUrlCrossRefPubMed
  55. ↵
    1. Kano M,
    2. Kano M,
    3. Fukunaga K,
    4. Konnerth A
    (1996) Ca(2+)-induced rebound potentiation of gamma-aminobutyric acid-mediated currents requires activation of Ca2+/calmodulin-dependent kinase II. Proc Natl Acad Sci U S A 93:13351–13356. doi:10.1073/pnas.93.23.13351 pmid:8917594
    OpenUrlAbstract/FREE Full Text
  56. ↵
    1. Klausberger T,
    2. Somogyi P
    (2008) Neuronal diversity and temporal dynamics: the unity of hippocampal circuit operations. Science 321:53–57. doi:10.1126/science.1149381 pmid:18599766
    OpenUrlAbstract/FREE Full Text
  57. ↵
    1. Kloc M,
    2. Maffei A
    (2014) Target-specific properties of thalamocortical synapses onto layer 4 of mouse primary visual cortex. J Neurosci 34:15455–15465. doi:10.1523/JNEUROSCI.2595-14.2014 pmid:25392512
    OpenUrlAbstract/FREE Full Text
  58. ↵
    1. Komatsu Y
    (1996) GABAB receptors, monoamine receptors, and postsynaptic inositol trisphosphate-induced Ca2+ release are involved in the induction of long-term potentiation at visual cortical inhibitory synapses. J Neurosci 16:6342–6352. pmid:8815913
    OpenUrlAbstract/FREE Full Text
  59. ↵
    1. Kullmann DM,
    2. Ruiz A,
    3. Rusakov DM,
    4. Scott R,
    5. Semyanov A,
    6. Walker MC
    (2005) Presynaptic, extrasynaptic and axonal GABAA receptors in the CNS: where and why? Prog Biophys Mol Biol 87:33–46. doi:10.1016/j.pbiomolbio.2004.06.003 pmid:15471589
    OpenUrlCrossRefPubMed
  60. ↵
    1. Kvitsiani D,
    2. Ranade S,
    3. Hangya B,
    4. Taniguchi H,
    5. Huang JZ,
    6. Kepecs A
    (2013) Distinct behavioural and network correlates of two interneuron types in prefrontal cortex. Nature 498:363–366. doi:10.1038/nature12176 pmid:23708967
    OpenUrlCrossRefPubMed
  61. ↵
    1. Lamsa KP,
    2. Kullmann DM,
    3. Woodin MA
    (2010) Spike-timing dependent plasticity in inhibitory circuits. Front Synaptic Neurosci 2:8. doi:10.3389/fnsyn.2010.00008 pmid:21423494
    OpenUrlCrossRefPubMed
  62. ↵
    1. Lapray D,
    2. Lasztoczi B,
    3. Lagler M,
    4. Viney TJ,
    5. Katona L,
    6. Valenti O,
    7. Hartwich K,
    8. Borhegyi Z,
    9. Somogyi P,
    10. Klausberger T
    (2012) Behavior-dependent specialization of identified hippocampal interneurons. Nat Neurosci 15:1265–1271. doi:10.1038/nn.3176 pmid:22864613
    OpenUrlCrossRefPubMed
  63. ↵
    1. Lee HH,
    2. Deeb TZ,
    3. Walker JA,
    4. Davies PA,
    5. Moss SJ
    (2011) NMDA receptor activity downregulates KCC2 resulting in depolarizing GABAA receptor-mediated currents. Nat Neurosci 14:736–743. doi:10.1038/nn.2806 pmid:21532577
    OpenUrlCrossRefPubMed
  64. ↵
    1. Lee S,
    2. Hjerling-Leffler J,
    3. Zagha E,
    4. Fishell G,
    5. Rudy B
    (2010) The largest group of superficial neocortical GABAergic interneurons expresses ionotropic serotonin receptors. J Neurosci 30:16796–16808. doi:10.1523/JNEUROSCI.1869-10.2010 pmid:21159951
    OpenUrlAbstract/FREE Full Text
  65. ↵
    1. Lee TT,
    2. Hill MN,
    3. Lee FS
    (2016) Developmental regulation of fear learning and anxiety behavior by endocannabinoids. Genes Brain Behav 15:108–124. doi:10.1111/gbb.12253 pmid:26419643
    OpenUrlCrossRefPubMed
  66. ↵
    1. Lefort S,
    2. Gray AC,
    3. Turrigiano GG
    (2013) Long-term inhibitory plasticity in visual cortical layer 4 switches sign at the opening of the critical period. Proc Natl Acad Sci U S A 110:E4540–E4547. doi:10.1073/pnas.1319571110 pmid:24191045
    OpenUrlAbstract/FREE Full Text
  67. ↵
    1. Letzkus JJ,
    2. Wolff SB,
    3. Meyer EM,
    4. Tovote P,
    5. Courtin J,
    6. Herry C,
    7. Lüthi A
    (2011) A disinhibitory microcircuit for associative fear learning in the auditory cortex. Nature 480:331–335. doi:10.1038/nature10674 pmid:22158104
    OpenUrlCrossRefPubMed
  68. ↵
    1. Li H,
    2. Khirug S,
    3. Cai C,
    4. Ludwig A,
    5. Blaesse P,
    6. Kolikova J,
    7. Afzalov R,
    8. Coleman SK,
    9. Lauri S,
    10. Airaksinen MS,
    11. Keinänen K,
    12. Khiroug L,
    13. Saarma M,
    14. Kaila K,
    15. Rivera C
    (2007) KCC2 interacts with the dendritic cytoskeleton to promote spine development. Neuron 56:1019–1033. doi:10.1016/j.neuron.2007.10.039 pmid:18093524
    OpenUrlCrossRefPubMed
  69. ↵
    1. Liu CH,
    2. Heynen AJ,
    3. Shuler MG,
    4. Bear MF
    (2008) Cannabinoid receptor blockade reveals parallel plasticity mechanisms in different layers of mouse visual cortex. Neuron 58:340–345. doi:10.1016/j.neuron.2008.02.020 pmid:18466745
    OpenUrlCrossRefPubMed
  70. ↵
    1. Llano O,
    2. Smirnov S,
    3. Soni S,
    4. Golubtsov A,
    5. Guillemin I,
    6. Hotulainen P,
    7. Medina I,
    8. Nothwang HG,
    9. Rivera C,
    10. Ludwig A
    (2015) KCC2 regulates actin dynamics in dendritic spines via interaction with β-PIX. J Cell Biol 209:671–686. doi:10.1083/jcb.201411008 pmid:26056138
    OpenUrlAbstract/FREE Full Text
  71. ↵
    1. Long LE,
    2. Lind J,
    3. Webster M,
    4. Weickert CS
    (2012) Developmental trajectory of the endocannabinoid system in human dorsolateral prefrontal cortex. BMC Neurosci 13:87. doi:10.1186/1471-2202-13-87 pmid:22827915
    OpenUrlCrossRefPubMed
  72. ↵
    1. Maffei A,
    2. Nelson SB,
    3. Turrigiano GG
    (2004) Selective reconfiguration of layer 4 visual cortical circuitry by visual deprivation. Nat Neurosci 7:1353–1359. doi:10.1038/nn1351 pmid:15543139
    OpenUrlCrossRefPubMed
  73. ↵
    1. Maffei A,
    2. Nataraj K,
    3. Nelson SB,
    4. Turrigiano GG
    (2006) Potentiation of cortical inhibition by visual deprivation. Nature 443:81–84. doi:10.1038/nature05079 pmid:16929304
    OpenUrlCrossRefPubMed
  74. ↵
    1. Mahadevan V,
    2. Woodin MA
    (2016) Regulation of neuronal chloride homeostasis by neuromodulators. J Physiol 594:2593–2605. doi:10.1113/JP271593 pmid:26876607
    OpenUrlCrossRefPubMed
  75. ↵
    1. Mahadevan V,
    2. Pressey JC,
    3. Acton BA,
    4. Uvarov P,
    5. Huang MY,
    6. Chevrier J,
    7. Puchalski A,
    8. Li CM,
    9. Ivakine EA,
    10. Airaksinen MS,
    11. Delpire E,
    12. McInnes RR,
    13. Woodin MA
    (2014) Kainate receptors coexist in a functional complex with KCC2 and regulate chloride homeostasis in hippocampal neurons. Cell Rep 7:1762–1770. doi:10.1016/j.celrep.2014.05.022 pmid:24910435
    OpenUrlCrossRefPubMed
  76. ↵
    1. Mahadevan V,
    2. Khademullah CS,
    3. Dargaei Z,
    4. Chevrier J,
    5. Uvarov P,
    6. Kwan J,
    7. Bagshaw RD,
    8. Pawson T,
    9. Emili A,
    10. De Koninck Y,
    11. Anggono V,
    12. Airaksinen M,
    13. Woodin MA
    (2017) Native KCC2 interactome reveals PACSIN1 as a critical regulator of synaptic inhibition. Elife 6:pii e28270. doi: 10.7554/eLife.28270.
    OpenUrlCrossRef
  77. ↵
    1. Maroso M,
    2. Szabo GG,
    3. Kim HK,
    4. Alexander A,
    5. Bui AD,
    6. Lee SH,
    7. Lutz B,
    8. Soltesz I
    (2016) Cannabinoid control of learning and memory through HCN channels. Neuron 89:1059–1073. doi:10.1016/j.neuron.2016.01.023 pmid:26898775
    OpenUrlCrossRefPubMed
  78. ↵
    1. Marsden KC,
    2. Beattie JB,
    3. Friedenthal J,
    4. Carroll RC
    (2007) NMDA receptor activation potentiates inhibitory transmission through GABA receptor-associated protein-dependent exocytosis of GABA(A) receptors. J Neurosci 27:14326–14337. doi:10.1523/JNEUROSCI.4433-07.2007 pmid:18160640
    OpenUrlAbstract/FREE Full Text
  79. ↵
    1. Matsuzaki M,
    2. Honkura N,
    3. Ellis-Davies GC,
    4. Kasai H
    (2004) Structural basis of long-term potentiation in single dendritic spines. Nature 429:761–766. doi:10.1038/nature02617 pmid:15190253
    OpenUrlCrossRefPubMed
  80. ↵
    1. Melzer S,
    2. Gil M,
    3. Koser DE,
    4. Michael M,
    5. Huang KW,
    6. Monyer H
    (2017) Distinct corticostriatal GABAergic neurons modulate striatal output neurons and motor activity. Cell Rep 19:1045–1055. doi:10.1016/j.celrep.2017.04.024 pmid:28467898
    OpenUrlCrossRefPubMed
  81. ↵
    1. Mohapatra N,
    2. Tønnesen J,
    3. Vlachos A,
    4. Kuner T,
    5. Deller T,
    6. Nägerl UV,
    7. Santamaria F,
    8. Jedlicka P
    (2016) Spines slow down dendritic chloride diffusion and affect short-term ionic plasticity of GABAergic inhibition. Sci Rep 6:23196. doi:10.1038/srep23196 pmid:26987404
    OpenUrlCrossRefPubMed
  82. ↵
    1. Muir J,
    2. Arancibia-Carcamo IL,
    3. MacAskill AF,
    4. Smith KR,
    5. Griffin LD,
    6. Kittler JT
    (2010) NMDA receptors regulate GABAA receptor lateral mobility and clustering at inhibitory synapses through serine 327 on the γ2 subunit. Proc Natl Acad Sci U S A 107:16679–16684. doi:10.1073/pnas.1000589107 pmid:20823221
    OpenUrlAbstract/FREE Full Text
  83. ↵
    1. Mullins C,
    2. Fishell G,
    3. Tsien RW
    (2016) Unifying views of autism spectrum disorders: a consideration of autoregulatory feedback loops. Neuron 89:1131–1156. doi:10.1016/j.neuron.2016.02.017 pmid:26985722
    OpenUrlCrossRefPubMed
  84. ↵
    1. Nakamura Y,
    2. Morrow DH,
    3. Modgil A,
    4. Huyghe D,
    5. Deeb TZ,
    6. Lumb MJ,
    7. Davies PA,
    8. Moss SJ
    (2016) Proteomic characterization of inhibitory synapses using a novel pHluorin-tagged GABAAR α2 subunit knock-in mouse. J Biol Chem 291:12394–12407. doi:10.1074/jbc.M116.724443 pmid:27044742
    OpenUrlAbstract/FREE Full Text
  85. ↵
    1. Nelson SB,
    2. Valakh V
    (2015) Excitatory/inhibitory balance and circuit homeostasis in autism spectrum disorders. Neuron 87:684–698. doi:10.1016/j.neuron.2015.07.033 pmid:26291155
    OpenUrlCrossRefPubMed
  86. ↵
    1. Okada H,
    2. Uezu A,
    3. Mason FM,
    4. Soderblom EJ,
    5. Moseley MA 3rd.,
    6. Soderling SH
    (2011) SH3 domain-based phototrapping in living cells reveals rho family GAP signaling complexes. Sci Signal 4:rs13. doi:10.1126/scisignal.2002189 pmid:22126966
    OpenUrlAbstract/FREE Full Text
  87. ↵
    1. Oláh S,
    2. Füle M,
    3. Komlósi G,
    4. Varga C,
    5. Báldi R,
    6. Barzó P,
    7. Tamás G
    (2009) Regulation of cortical microcircuits by unitary GABA-mediated volume transmission. Nature 461:1278–1281. doi:10.1038/nature08503 pmid:19865171
    OpenUrlCrossRefPubMed
  88. ↵
    1. Omrani A,
    2. van Woerden GM,
    3. Elgersma Y
    (2015) Neurofibromin regulates HCN activity in parvalbumin-positive interneurons. Mol Psychiatry 20:1263. doi:10.1038/mp.2015.154 pmid:26487477
    OpenUrlCrossRefPubMed
  89. ↵
    1. Ormond J,
    2. Woodin MA
    (2009) Disinhibition mediates a form of hippocampal long-term potentiation in area CA1. PLoS One 4:e7224. doi:10.1371/journal.pone.0007224 pmid:19787049
    OpenUrlCrossRefPubMed
  90. ↵
    1. Ormond J,
    2. Woodin MA
    (2011) Disinhibition-mediated LTP in the hippocampus is synapse specific. Front Cell Neurosci 5:17. doi:10.3389/fncel.2011.00017 pmid:21954377
    OpenUrlCrossRefPubMed
  91. ↵
    1. Pakan JM,
    2. Lowe SC,
    3. Dylda E,
    4. Keemink SW,
    5. Currie SP,
    6. Coutts CA,
    7. Rochefort NL
    (2016) Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex. Elife 5:79. doi:10.7554/eLife.14985 pmid:27552056
    OpenUrlCrossRefPubMed
  92. ↵
    1. Petrini EM,
    2. Barberis A
    (2014) Diffusion dynamics of synaptic molecules during inhibitory postsynaptic plasticity. Front Cell Neurosci 8:300. doi:10.3389/fncel.2014.00300 pmid:25294987
    OpenUrlCrossRefPubMed
  93. ↵
    1. Petrini EM,
    2. Ravasenga T,
    3. Hausrat TJ,
    4. Iurilli G,
    5. Olcese U,
    6. Racine V,
    7. Sibarita JB,
    8. Jacob TC,
    9. Moss SJ,
    10. Benfenati F,
    11. Medini P,
    12. Kneussel M,
    13. Barberis A
    (2014) Synaptic recruitment of gephyrin regulates surface GABAA receptor dynamics for the expression of inhibitory LTP. Nat Commun 5:3921. doi:10.1038/ncomms4921 pmid:24894704
    OpenUrlCrossRefPubMed
  94. ↵
    1. Pfeffer CK,
    2. Stein V,
    3. Keating DJ,
    4. Maier H,
    5. Rinke I,
    6. Rudhard Y,
    7. Hentschke M,
    8. Rune GM,
    9. Jentsch TJ,
    10. Hübner CA
    (2009) NKCC1-dependent GABAergic excitation drives synaptic network maturation during early hippocampal development. J Neurosci 29:3419–3430. doi:10.1523/JNEUROSCI.1377-08.2009 pmid:19295148
    OpenUrlAbstract/FREE Full Text
  95. ↵
    1. Pfeffer CK,
    2. Xue M,
    3. He M,
    4. Huang ZJ,
    5. Scanziani M
    (2013) Inhibition of inhibition in visual cortex: the logic of connections between molecularly distinct interneurons. Nat Neurosci 16:1068–1076. doi:10.1038/nn.3446 pmid:23817549
    OpenUrlCrossRefPubMed
  96. ↵
    1. Piette CE,
    2. Baez-Santiago MA,
    3. Reid EE,
    4. Katz DB,
    5. Moran A
    (2012) Inactivation of basolateral amygdala specifically eliminates palatability-related information in cortical sensory responses. J Neurosci 32:9981–9991. doi:10.1523/JNEUROSCI.0669-12.2012 pmid:22815512
    OpenUrlAbstract/FREE Full Text
  97. ↵
    1. Porter JT,
    2. Johnson CK,
    3. Agmon A
    (2001) Diverse types of interneurons generate thalamus-evoked feedforward inhibition in the mouse barrel cortex. J Neurosci 21:2699–2710. pmid:11306623
    OpenUrlAbstract/FREE Full Text
  98. ↵
    1. Pressey JC,
    2. Mahadevan V,
    3. Khademullah CS,
    4. Dargaei Z,
    5. Chevrier J,
    6. Ye W,
    7. Huang M,
    8. Chauhan AK,
    9. Meas SJ,
    10. Uvarov P,
    11. Airaksinen MS,
    12. Woodin MA
    (2017) A kainate receptor subunit promotes the recycling of the neuron-specific K sup+/sup-Cl sup-/sup co-transporter KCC2 in hippocampal neurons. J Biol Chem 292:6190–6201. doi:10.1074/jbc.M116.767236 pmid:28235805
    OpenUrlAbstract/FREE Full Text
  99. ↵
    1. Raver SM,
    2. Keller A
    (2014) Permanent suppression of cortical oscillations in mice after adolescent exposure to cannabinoids: receptor mechanisms. Neuropharmacology 86:161–173. doi:10.1016/j.neuropharm.2014.07.006 pmid:25036610
    OpenUrlCrossRefPubMed
  100. ↵
    1. Renard J,
    2. Vitalis T,
    3. Rame M,
    4. Krebs MO,
    5. Lenkei Z,
    6. Le Pen G,
    7. Jay TM
    (2016) Chronic cannabinoid exposure during adolescence leads to long-term structural and functional changes in the prefrontal cortex. Eur Neuropsychopharmacol 26:55–64. doi:10.1016/j.euroneuro.2015.11.005 pmid:26689328
    OpenUrlCrossRefPubMed
  101. ↵
    1. Rivera C,
    2. Voipio J,
    3. Payne JA,
    4. Ruusuvuori E,
    5. Lahtinen H,
    6. Lamsa K,
    7. Pirvola U,
    8. Saarma M,
    9. Kaila K
    (1999) The K+/Cl− co-transporter KCC2 renders GABA hyperpolarizing during neuronal maturation. Nature 397:251–255. doi:10.1038/16697 pmid:9930699
    OpenUrlCrossRefPubMed
  102. ↵
    1. Rubenstein JL,
    2. Merzenich MM
    (2003) Model of autism: increased ratio of excitation/inhibition in key neural systems. Genes Brain Behav 2:255–267. doi:10.1034/j.1601-183X.2003.00037.x pmid:14606691
    OpenUrlCrossRefPubMed
  103. ↵
    1. Rubino T,
    2. Parolaro D
    (2016) The impact of exposure to cannabinoids in adolescence: insights from animal models. Biol Psychiatry 79:578–585. doi:10.1016/j.biopsych.2015.07.024 pmid:26344755
    OpenUrlCrossRefPubMed
  104. ↵
    1. Rudolph U,
    2. Möhler H
    (2014) GABAA receptor subtypes: therapeutic potential in Down syndrome, affective disorders, schizophrenia, and autism. Annu Rev Pharmacol Toxicol 54:483–507. doi:10.1146/annurev-pharmtox-011613-135947 pmid:24160694
    OpenUrlCrossRefPubMed
  105. ↵
    1. Saliba RS,
    2. Kretschmannova K,
    3. Moss SJ
    (2012) Activity-dependent phosphorylation of GABAA receptors regulates receptor insertion and tonic current. EMBO J 31:2937–2951. doi:10.1038/emboj.2012.109 pmid:22531784
    OpenUrlCrossRefPubMed
  106. ↵
    1. Samuelsen CL,
    2. Gardner MP,
    3. Fontanini A
    (2012) Effects of cue-triggered expectation on cortical processing of taste. Neuron 74:410–422. doi:10.1016/j.neuron.2012.02.031 pmid:22542192
    OpenUrlCrossRefPubMed
  107. ↵
    1. Soto F,
    2. Bleckert A,
    3. Lewis R,
    4. Kang Y,
    5. Kerschensteiner D,
    6. Craig AM,
    7. Wong RO
    (2011) Coordinated increase in inhibitory and excitatory synapses onto retinal ganglion cells during development. Neural Dev 6:31. doi:10.1186/1749-8104-6-31 pmid:21864334
    OpenUrlCrossRefPubMed
  108. ↵
    1. Szabadics J,
    2. Varga C,
    3. Molnár G,
    4. Oláh S,
    5. Barzó P,
    6. Tamás G
    (2006) Excitatory effect of GABAergic axo-axonic cells in cortical microcircuits. Science 311:233–235. doi:10.1126/science.1121325 pmid:16410524
    OpenUrlAbstract/FREE Full Text
  109. ↵
    1. Tasic B,
    2. Menon V,
    3. Nguyen TN,
    4. Kim TK,
    5. Jarsky T,
    6. Yao Z,
    7. Levi B,
    8. Gray LT,
    9. Sorensen SA,
    10. Dolbeare T,
    11. Bertagnolli D,
    12. Goldy J,
    13. Shapovalova N,
    14. Parry S,
    15. Lee C,
    16. Smith K,
    17. Bernard A,
    18. Madisen L,
    19. Sunkin SM,
    20. Hawrylycz M, et al
    . (2016) Adult mouse cortical cell taxonomy revealed by single cell transcriptomics. Nat Neurosci 19:335–346. doi:10.1038/nn.4216 pmid:26727548
    OpenUrlCrossRefPubMed
  110. ↵
    1. Tyagarajan SK,
    2. Fritschy JM
    (2014) Gephyrin: a master regulator of neuronal function? Nat Rev Neurosci 15:141–156. doi:10.1038/nrn3670 pmid:24552784
    OpenUrlCrossRefPubMed
  111. ↵
    1. Tyagarajan SK,
    2. Ghosh H,
    3. Yévenes GE,
    4. Nikonenko I,
    5. Ebeling C,
    6. Schwerdel C,
    7. Sidler C,
    8. Zeilhofer HU,
    9. Gerrits B,
    10. Muller D,
    11. Fritschy JM
    (2011) Regulation of GABAergic synapse formation and plasticity by GSK3beta-dependent phosphorylation of gephyrin. Proc Natl Acad Sci U S A 108:379–384. doi:10.1073/pnas.1011824108 pmid:21173228
    OpenUrlAbstract/FREE Full Text
  112. ↵
    1. Tyagarajan SK,
    2. Ghosh H,
    3. Yévenes GE,
    4. Imanishi SY,
    5. Zeilhofer HU,
    6. Gerrits B,
    7. Fritschy JM
    (2013) Extracellular signal-regulated kinase and glycogen synthase kinase 3β regulate gephyrin postsynaptic aggregation and GABAergic synaptic function in a calpain-dependent mechanism. J Biol Chem 288:9634–9647. doi:10.1074/jbc.M112.442616 pmid:23408424
    OpenUrlAbstract/FREE Full Text
  113. ↵
    1. Veit J,
    2. Hakim R,
    3. Jadi MP,
    4. Sejnowski TJ,
    5. Adesnik H
    (2017) Cortical gamma band synchronization through somatostatin interneurons. Nat Neurosci 20:951–959. doi:10.1038/nn.4562 pmid:28481348
    OpenUrlCrossRefPubMed
  114. ↵
    1. Verbny YI,
    2. Erdélyi F,
    3. Szabó G,
    4. Banks MI
    (2006) Properties of a population of GABAergic cells in murine auditory cortex weakly excited by thalamic stimulation. J Neurophysiol 96:3194–3208. doi:10.1152/jn.00484.2006 pmid:16971682
    OpenUrlAbstract/FREE Full Text
  115. ↵
    1. Vogels TP,
    2. Froemke RC,
    3. Doyon N,
    4. Gilson M,
    5. Haas JS,
    6. Liu R,
    7. Maffei A,
    8. Miller P,
    9. Wierenga CJ,
    10. Woodin MA,
    11. Zenke F,
    12. Sprekeler H
    (2013) Inhibitory synaptic plasticity: spike timing-dependence and putative network function. Front Neural Circuits 7:119. doi:10.3389/fncir.2013.00119 pmid:23882186
    OpenUrlCrossRefPubMed
  116. ↵
    1. Wang L,
    2. Maffei A
    (2014) Inhibitory plasticity dictates the sign of plasticity at excitatory synapses. J Neurosci 34:1083–1093. doi:10.1523/JNEUROSCI.4711-13.2014 pmid:24453301
    OpenUrlAbstract/FREE Full Text
  117. ↵
    1. Wang Y,
    2. Toledo-Rodriguez M,
    3. Gupta A,
    4. Wu C,
    5. Silberberg G,
    6. Luo J,
    7. Markram H
    (2004) Anatomical, physiological and molecular properties of Martinotti cells in the somatosensory cortex of the juvenile rat. J Physiol 561:65–90. doi:10.1113/jphysiol.2004.073353 pmid:15331670
    OpenUrlCrossRefPubMed
  118. ↵
    1. Wehr M,
    2. Zador AM
    (2003) Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex. Nature 426:442–446. doi:10.1038/nature02116 pmid:14647382
    OpenUrlCrossRefPubMed
  119. ↵
    1. Woodin MA,
    2. Maffei A
    (2011) Inhibitory synaptic plasticity. New York: Springer.
  120. ↵
    1. Woodin MA,
    2. Ganguly K,
    3. Poo MM
    (2003) Coincident pre- and postsynaptic activity modifies GABAergic synapses by postsynaptic changes in Cl− transporter activity. Neuron 39:807–820. doi:10.1016/S0896-6273(03)00507-5 pmid:12948447
    OpenUrlCrossRefPubMed
  121. ↵
    1. Yoneda T,
    2. Kameyama K,
    3. Esumi K,
    4. Daimyo Y,
    5. Watanabe M,
    6. Hata Y
    (2013) Developmental and visual input-dependent regulation of the CB1 cannabinoid receptor in the mouse visual cortex. PLoS One 8:e53082. doi:10.1371/journal.pone.0053082 pmid:23308141
    OpenUrlCrossRefPubMed
  122. ↵
    1. Zhao X,
    2. Shoji S,
    3. Lau P
    (2005) Balanced GABAergic and glutamatergic synapse development in hippocampal neurons. Biochem Biophys Res Commun 330:1110–1115. doi:10.1016/j.bbrc.2005.03.083 pmid:15823558
    OpenUrlCrossRefPubMed
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Emerging Mechanisms Underlying Dynamics of GABAergic Synapses
Arianna Maffei, Cécile Charrier, Maddalena Delma Caiati, Andrea Barberis, Vivek Mahadevan, Melanie A. Woodin, Shiva K. Tyagarajan
Journal of Neuroscience 8 November 2017, 37 (45) 10792-10799; DOI: 10.1523/JNEUROSCI.1824-17.2017

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Emerging Mechanisms Underlying Dynamics of GABAergic Synapses
Arianna Maffei, Cécile Charrier, Maddalena Delma Caiati, Andrea Barberis, Vivek Mahadevan, Melanie A. Woodin, Shiva K. Tyagarajan
Journal of Neuroscience 8 November 2017, 37 (45) 10792-10799; DOI: 10.1523/JNEUROSCI.1824-17.2017
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  • CaMKIIa
  • gephyrn
  • homeostatic plasticity
  • interneurons
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