Abstract
Fast synaptic inhibition in the brain is mediated by the pre-synaptic release of the neurotransmitter γ-Aminobutyric acid (GABA)and the post-synaptic activation of GABA-sensitive ionotropic receptors. As with excitatory synapses, it is being increasinly appreciated that a variety of plastic processes occur at inhibitory synapses, which operate over a range of timescales. Here we examine a form of activity-dependent plasticity that is somewhat unique to GABAergic transmission. This involves short-lasting changes to the ionic driving force for the post-synaptic receptors, a process referred to as short-term ionic plasticity. These changes are directly related to the history of activity at inhibitory synapses and are influenced by a variety of factors including the location of the synapse and the post-synaptic cell's ion regulation mechanisms. We explore the processes underlying this form of plasticity, when and where it can occur, and how it is likely to impact network activity.
Introduction
Synaptic plasticity refers to structural and functional changes that occur at synapses in response to particular stimuli or patterns of activity. These processes can operate over a range of timescales, from short-term modification of synaptic transmission occurring over tens of milliseconds, to long-lasting changes that persist for hours and more. The changes that result are thought to contribute to phenomena as important and diverse as synaptic integration, the flow of information through neuronal circuits, learning and memory, neural circuit development and disease states such as epilepsy. In conjunction with the extensive research on plasticity at excitatory glutamatergic synapses, plastic processes at inhibitory synapses have received increasing attention over the past two decades. This reflects a growing appreciation of how fluctuations in the strength of inhibitory synapses also shape the input-output relationship of neurons and the computations of neuronal networks. This review focuses upon short-lasting changes in the strength of inhibitory synapses. Short-term plasticity has classically been linked to changes in vesicular release probability or mechanisms that alter post-synaptic conductance, such as receptor desensitization. In addition to these processes, inhibitory synapses exhibit a form of short-term plasticity that involves changes in the ionic driving force for post-synaptic ionotropic receptors. This process is the short-term variety of what has previously been referred to as ionic plasticity (Rivera et al., ; Blaesse et al., ) or ionic shift plasticity (Lamsa et al., ). Type A ionotropic γ-Aminobutyric acid receptors (GABAARs) are the primary mediators of fast synaptic inhibition in the brain and the reversal potential for these receptors (EGABA) is typically close to the neuronal resting membrane potential. This means that relatively small changes to EGABA can vary the functional effect of GABAAR activation and consequently neuronal output. Here we explore how short-term, activity-dependent changes in the driving force for GABAARs occur and how they might affect ongoing physiological and pathological network activity.
GABAA receptor mediated synaptic transmission and plasticity
Two principle variables determine the effect of GABAAR mediated synaptic transmission on the post-synaptic membrane potential. The first is EGABA and the second is the GABAAR conductance (gGABA). Open GABAARs are approximately four times more permeable to chloride (Cl−) than to bicarbonate (HCO−3) ions (Kaila and Voipio, ; Kaila et al., ). Therefore at rest, EGABA (typically −75 mV) is much closer to the very negative Cl− reversal (ECl−; typically −85 mV) than the considerably more positive HCO−3 reversal (EHCO−3; typically −20 mV) (Kaila et al., ; Lambert and Grover, ). When GABA binds to GABAARs, the bulk of anion flux through the channel is Cl− flowing down its electrochemical gradient from outside to inside the cell. This causes the membrane potential hyperpolarization typical of classic GABAAR mediated inhibition. However, if ECl− is positive of the resting membrane potential, GABAAR activation will result in Cl− efflux and depolarization. This can still have an inhibitory influence due to the shunting effect upon the membrane, and particularly if ECl− and EGABA remain more negative than the action potential threshold (Kaila, ; Farrant and Kaila, ). If ECl− exceeds the action potential threshold, GABAAR mediated transmission is likely to increase the probability of action potential generation and will therefore exert an excitatory effect. In this manner the intracellular Cl− concentration [Cl−]i, by setting ECl− and EGABA, determines the “mode” of GABAAR operation. The extent to which GABAergic inputs can move a neuron's membrane potential toward EGABA is a function of gGABA. gGABA in turn is determined by a host of synaptic parameters including the amount of transmitter released, the number of GABAARs present, the GABAAR subunit composition, channel kinetics, phosphorylation state and presence of channel modulators. Whereas EGABA sets the “mode,” gGABA can be thought of as determining the “strength” of the GABAergic synapse.
Changes to either gGABA or EGABA are known to underlie long-term plasticity at GABAergic synapses (Gaiarsa et al., ; Wright et al., ). These sustained changes to GABAergic transmission have been demonstrated in numerous brain regions, species type and experimental preparations, and can be generated by periods of either pathological or physiological activity (Cohen et al., ; Woodin et al., ; Fiumelli et al., ; Pathak et al., ). In addition to long-term changes in GABAergic synaptic function, it is known that post-synaptic responses can also vary on short time scales, as a function of recent pre-synaptic activity (Davies et al., ; Fleidervish and Gutnick, ; Gupta et al., ). Repeated activation at some synapses can result in enhanced transmission (facilitation), while at other synapses repeated use results in a transient decrease in transmission (depression). In reality, multiple short-term plasticity mechanisms are likely to co-occur at synapses and the resulting behavior will be a combination of facilitation and depression that depends on the timing of synaptic activation (Tsodyks and Markram, ; Varela et al., ). Indeed, GABAergic synapses are known to display an array of short-term plasticity phenomena (Davies et al., ; Fleidervish and Gutnick, ; Jiang et al., ; Kirischuk et al., ; Mott et al., ), and in some cases have been related to the specific interneuron type that is the pre-synaptic source (Gupta et al., ; Pouille and Scanziani, ). Short-term plasticity phenomena such as these are generally understood to relate pre-dominantly to pre-synaptic processes. For instance, synaptic facilitation is typically attributed to residual elevations of pre-synaptic calcium (Ca2+), whilst synaptic depression is linked either to depletion of readily releasable synaptic vesicles (Zucker and Regehr, ) or the activation of pre-synaptic GABAB receptors (Davies et al., ; Lambert and Wilson, ). However, post-synaptic mechanisms can also contribute to short-term synaptic plasticity at GABAergic synapses and these include desensitization of the post-synaptic receptors (McCarren and Alger, ; Overstreet et al., ) or changes in the ionic driving force for the post-synaptic receptors. This latter process—transient shifts in the ionic driving force of the post-synaptic GABAARs—will form the focus of the remainder of this review.
The basic mechanism underlying short-term ionic plasticity at GABAergic synapses
Short-term changes to receptor reversal potentials via breakdown of ionic concentration gradients are not thought to occur at glutamatergic synapses. This is because the major ionotropic receptors for glutamate, AMPA, NMDA, and Kainate receptors, are equally permeable to Na+ and K+. The concentration gradients across the neuronal membrane for these two ions are diametrically opposed, resulting in a reversal potential for glutamate receptors of approximately 0 mV. During periods of intense glutamatergic synaptic activity, sodium influx and potassium efflux may reduce their respective local concentration gradients, but as both ion concentrations are perturbed to a similar extent, this will have a minimal effect on the combined reversal potential for glutamate receptors.
The situation within the GABAergic system is quite different. As described above, the major ionotropic receptor for GABA, the GABAAR, is permeable primarily to Cl− and to a lesser extent HCO−3 (Kaila and Voipio, ; Kaila et al., ). Therefore at rest, EGABA (typically −75 mV) is considerably closer to the very negative Cl− reversal (ECl−; typically −85 mV) than the more positive HCO−3 reversal (EHCO−3; typically −20 mV) (Kaila et al., ; Lambert and Grover, ). During intense activation of GABAARs however, rapid Cl− influx can exceed Cl− extrusion mechanisms and a reduction in the transmembrane Cl− gradient occurs (Kaila and Voipio, ; Kaila et al., ; Staley et al., ; Staley and Proctor, ). It is thought that a corresponding collapse of the HCO−3 gradient is prevented by the activity of intra- and extra-cellular carbonic anhydrases, which use CO2 as a substrate to rapidly regenerate intracellular HCO−3 (Kaila et al., ; Rivera et al., ). As a result, the intracellular Cl− accumulation that occurs during repeated activation of GABAARs means that ECl− and hence EGABA shift toward the more positive EHCO−3 (Figure 1). Such a process is thought to contribute to short-term synaptic depression of GABAergic potentials (McCarren and Alger, ; Huguenard and Alger, ).
Figure 1
This process does not only reduce the size of inhibitory post-synaptic potentials (IPSPs), but strong GABAAR activation may cause IPSPs to change from being hyperpolarizing to depolarizing, as EGABA shifts in a positive direction (Figure 1). Such biphasic responses have been widely documented (Alger and Nicoll,
Factors that influence ionic plasticity at GABAergic synapses
Any factor that affects the rate of Cl− accumulation during GABAAR activation will influence how rapidly and by how much EGABA shifts. For example, one would expect that the greater the Cl− extruding capability of a neuron, the more resistant it would be to activity induced Cl− accumulation. Several mechanisms have been identified to play a role in Cl− efflux. These include Cl− co-transporters such as KCC2 (Gamba,
Computational models (Qian and Sejnowski,
Figure 2

Intense GABAAR activation results in Cl− accumulation more readily in smaller volume compartments of the cell, than in larger volume compartments. A CA3 hippocampal pyramidal cell within a P14 hippocampal slice culture was patched using the gramicidin perforated patch technique. HCO−3 was excluded from the external solution to ensure that GABAAR currents were purely attributable to Cl−. GABAAR activation was evoked by local application of 100 μM GABA to either the dendrites (top) or soma (bottom) of the neuron. In voltage clamp mode, Cl− was loaded by stepping the membrane voltage to −37.5 mV during application of the first “loading” puff (“GABA load”), before returning to −60 mV for the second “test” puff (“GABA test”). When the puffer pipette was positioned over the dendrites, a Cl− load affected the size and direction of the GABAAR current observed in response to the “test” puff. In contrast, this effect was not seen when a similar Cl− load was generated at the soma.
As well as the volume and rate of diffusion out of the intracellular compartment, another important factor that affects Cl− accumulation during GABAAR activity is the presence, affinity and capacity of carbonic anhydrase. For example, Staley et al. (
In addition to cell type differences, the maturational state of a neuron is also likely to impact GABAergic ionic plasticity as Cl− homeostasis mechanisms are known to change during development. Compared to the Cl− extruder KCC2, immature neurons tend to express relatively high levels of the Na+-K+-Cl− co-transporter, NKCC1, which imports Cl− into the cells. This means that [Cl−]i is often significantly higher than in adult neurons (Ben-Ari,
Given the multiple factors that can influence short-term ionic plasticity at GABAergic synapses, it is important to consider how they might interact under different scenarios. For example, the axon initial segment (AIS) of pyramidal neurons is known to receive input almost exclusively from GABAergic axo-axonic cells. This subcellular compartment therefore offers an intriguing example of how the parameters described above might combine to generate [Cl−]i accumulation or depletion effects. Firstly, the small volume of the AIS is predicted to amplify the effects of any Cl− flux on transmembrane concentration gradients. Secondly, the AIS has been shown to express the Cl− importer NKCC1, instead of the Cl− extruder KCC2, which results in a relatively positive EGABA at rest (Szabadics et al.,
To date, activity-dependent shifts in EGABA, have been demonstrated in response to intense GABAAR activation, typically elicited either by exogenous application of GABAAR agonists or high frequency stimulation of GABAergic afferents. Evidence that activity driven, short-term changes in EGABA could occur in vivo have come from studies of hyper-active network activity states, such as those generated in experimental models of epilepsy. It is thought that the intense activation of GABAARs in combination with the concurrent membrane depolarization that occurs during epileptiform activity can cause rapid Cl− accumulation (Lamsa and Kaila,
Functional effects of short-term ionic plasticity at GABAergic synapses
What functional effects do short-term alterations in EGABA have in the context of evolving pathological and physiological network activity? As described above, large depolarizing shifts in EGABA have been shown to play a role in exacerbating and sustaining epileptic seizures. In addition, it has been observed that high frequency stimulation, of the sort used to induce classic long-term potentiation (LTP) at glutamatergic synapses, is sufficient to induce GABAAR mediated depolarization (Thompson and Gahwiler,
By artificially setting the EGABA of a neuron, one may investigate how physiologically plausible shifts in the ionic driving force for GABAARs may impact activity. This has been performed experimentally by dialyzing neurons during whole-cell recordings with internal solutions of set [Cl−]i, using dynamic clamp to simulate GABAergic inputs with different EGABA values, or more recently using a light-activated Cl− pump to load neurons with different amounts of Cl− (Raimondo et al.,
An intriguing possibility is that Cl− accumulation might adjust the processing capacity of a neuron's dendritic tree, and in a manner that depends upon the amount of information flowing through a particular network (Viitanen,
An important question that can be asked about any plasticity phenomenon is one of synapse specificity. Does a plasticity process affect individual synapses between pre- and post-synaptic neurons, multiple surrounding synapses, or every connection to the post-synaptic cell in question? Considering that GABAergic interneurons are a highly heterogeneous cell population involved in a diverse array of functions, from setting network oscillations to providing dynamic gain control (Freund and Buzsáki,
Conclusion
Like the glutamatergic system, GABAergic synapses may undergo a wide array of both short- and long-term plasticity phenomena that rely on alterations in pre-synaptic release and/or post-synaptic receptor conductance. However, the GABAergic system is somewhat unique in that its function can also be relatively easily modified via changes to the ionic driving force for the GABAAR and in a way that relates to the history of synaptic activity. It seems clear that EGABA should not be assumed to be invariant across a neuron, it is a dynamic variable that evolves across both time and space as a function of varied patterns of neural activity. We anticipate that examining how this aspect of neuronal signaling contributes to network activity will provide fertile ground for future research.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Statements
Acknowledgments
This work was supported by a grant from the Medical Research Council (G0601503) and funding from the European Research Council under the European Community's Seventh Framework Programme (FP7/2007-2013), ERC grant agreement number 243273. Joseph V. Raimondo was supported by a Rhodes Scholarship. We thank both reviewers for their constructive comments on the text and Kai Kaila for his suggestions for Figure 1.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AkermanC. J.ClineH. T. (2006). Depolarizing GABAergic conductances regulate the balance of excitation to inhibition in the developing retinotectal circuit in vivo. J. Neurosci. 26, 5117–5130. 10.1523/JNEUROSCI.0319-06.2006
2
AlgerB.NicollR. (1979). GABA-mediated biphasic inhibitory responses in hippocampus. Nature281, 315–317.
3
AndersenP.DingledineR.GjerstadL.LangmoenI.LaursenA. M. (1980). Two different responses of hippocampal pyramidal cells to application of gamma-amino butyric acid. J. Physiol. 305, 279.
4
Ben-AriY. (2002). Excitatory actions of GABA during development: the nature of the nurture. Nat. Rev. Neurosci. 3, 728–739. 10.1038/nrn920
5
BerglundK.SchleichW.KriegerP.LooL. S.WangD.CantN. B.et al. (2006). Imaging synaptic inhibition in transgenic mice expressing the chloride indicator, Clomeleon. Brain Cell Biol. 35, 207–228. 10.1007/s11068-008-9019-6
6
BlaesseP.AiraksinenM. S.RiveraC.KailaK. (2009). Cation-chloride cotransporters and neuronal function. Neuron61, 820–838. 10.1016/j.neuron.2009.03.003
7
BloodgoodB. L.SabatiniB. L. (2007). Ca(2+) signaling in dendritic spines. Curr. Opin. Neurobiol. 17, 345–351. 10.1016/j.conb.2007.04.003
8
BrumbackA. C.StaleyK. J. (2008). Thermodynamic regulation of NKCC1-mediated Cl-cotransport underlies plasticity of GABAA signaling in neonatal neurons. J. Neurosci. 28, 1301. 10.1523/JNEUROSCI.3378-07.2008
9
BuzsakiG. (2006). Rhythms of the Brain. New York, NY: Oxford University Press.
10
BuzsákiG.DraguhnA. (2004). Neuronal oscillations in cortical networks. Science304, 1926–1929. 10.1126/science.1099745
11
ChiangP.-H.WuP.-Y.KuoT.-W.LiuY.-C.ChanC.-F.ChienT.-C.et al. (2012). GABA is depolarizing in hippocampal dentate granule cells of the adolescent and adult rats. J. Neurosci. 32, 62–67. 10.1523/JNEUROSCI.3393-11.2012
12
ChubN.MentisG. Z.O'donovanM. J. (2006). Chloride-sensitive MEQ fluorescence in chick embryo motoneurons following manipulations of chloride and during spontaneous network activity. J. Neurophysiol. 95, 323–330. 10.1152/jn.00162.2005
13
CohenI.NavarroV.ClemenceauS.BaulacM.MilesR. (2002). On the origin of interictal activity in human temporal lobe epilepsy in vitro. Science298, 1418. 10.1126/science.1076510
14
DaviesC. H.DaviesS. N.CollingridgeG. L. (1990). Paired-pulse depression of monosynaptic GABA-mediated inhibitory postsynaptic responses in rat hippocampus. J. Physiol. 424, 513–531.
15
DoyonN.PrescottS. A.CastonguayA.GodinA. G.KrögerH.De KoninckY. (2011). Efficacy of synaptic inhibition depends on multiple, dynamically interacting mechanisms implicated in chloride homeostasis. PLoS Comput. Biol. 7:e1002149. 10.1371/journal.pcbi.1002149
16
EngelA. K.SingerW. (2001). Temporal binding and the neural correlates of sensory awareness. Trends. Cogn. Sci. 5, 16–25.
17
FarrantM.KailaK. (2007). The cellular, molecular and ionic basis of GABAA receptor signalling. Prog. Brain Res. 160, 59–87. 10.1016/S0079-6123(06)60005-8
18
FiumelliH.CanceddaL.PooM.-M. (2005). Modulation of GABAergic transmission by activity via postsynaptic Ca2+-dependent regulation of KCC2 function. Neuron48, 773–786. 10.1016/j.neuron.2005.10.025
19
FleidervishI. A.GutnickM. J. (1995). Paired-pulse facilitation of IPSCs in slices of immature and mature mouse somatosensory neocortex. J. Neurophysiol. 73, 2591–2595.
20
FöldyC.LeeS.-H.MorganR. J.SolteszI. (2010). Regulation of fast-spiking basket cell synapses by the chloride channel ClC-2. Nat. Neurosci. 13, 1047–1049. 10.1038/nn.2609
21
FreundT. F.BuzsákiG. (1996). Interneurons of the hippocampus. Hippocampus6, 347–470. 10.1002/(SICI)1098-1063(1996)6:4<347::AID-HIPO1>3.0.CO;2-I
22
Fujiwara-TsukamotoY.IsomuraY.ImanishiM.NinomiyaT.TsukadaM.YanagawaY.et al. (2010). Prototypic seizure activity driven by mature hippocampal fast-spiking interneurons. J. Neurosci. 30, 13679. 10.1523/JNEUROSCI.1523-10.2010
23
GabernetL.JadhavS. P.FeldmanD. E.CarandiniM.ScanzianiM. (2005). Somatosensory integration controlled by dynamic thalamocortical feed-forward inhibition. Neuron48, 315–327. 10.1016/j.neuron.2005.09.022
24
GaiarsaJ.-L.CaillardO.Ben-AriY. (2002). Long-term plasticity at GABAergic and glycinergic synapses: mechanisms and functional significance. Trends Neurosci. 25, 564–570. 10.1016/S0166-2236(02)02269-5
25
GambaG. (2005). Molecular physiology and pathophysiology of electroneutral cation-chloride cotransporters. Physiol. Rev. 85, 423–493. 10.1152/physrev.00011.2004
26
GulledgeA. T.StuartG. J. (2003). Excitatory actions of GABA in the cortex. Neuron37, 299–309.
27
GuptaA.WangY.MarkramH. (2000). Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. Science287, 273–278. 10.1126/science.287.5451.273
28
HuguenardJ. R.AlgerB. E. (1986). Whole-cell voltage-clamp study of the fading of GABA-activated currents in acutely dissociated hippocampal neurons. J. Neurophysiol. 56, 1–18.
29
IlieA.RaimondoJ. V.AkermanC. J. (2012). Adenosine release during seizures attenuates GABAA receptor-mediated depolarization. J. Neurosci. 32, 5321–5332. 10.1523/JNEUROSCI.5412-11.2012
30
IsomuraY.SugimotoM.Fujiwara-TsukamotoY.Yamamoto-MurakiS.YamadaJ.FukudaA. (2003). Synaptically activated Cl- accumulation responsible for depolarizing GABAergic responses in mature hippocampal neurons. J. Neurophysiol. 90, 2752–2756. 10.1152/jn.00142.2003
31
JarolimekW.LewenA.MisgeldU. (1999). A furosemide-sensitive K+-Cl- cotransporter counteracts intracellular Cl- accumulation and depletion in cultured rat midbrain neurons. J. Neurosci. 19, 4695–4704.
32
Jean-XavierC.MentisG. Z.O'DonovanM. J.CattaertD.VinayL. (2007). Dual personality of GABA/glycine-mediated depolarizations in immature spinal cord. Proc. Natl. Acad. Sci. U.S.A. 104, 11477–11482. 10.1073/pnas.0704832104
33
JedlickaP.BackusK. H. (2006). Inhibitory transmission, activity-dependent ionic changes and neuronal network oscillations. Physiol. Res. 55, 139–149.
34
JedlickaP.DellerT.GutkinB. (2011). Activity dependent intracellular chloride accumulation and diffusion controls GABAA receptor mediated synaptic transmission. Hippocampus898, 885–898. 10.1002/hipo.20804
35
JiangL.SunS.NedergaardM.KangJ. (2000). Paired-pulse modulation at individual GABAergic synapses in rat hippocampus. J. Neurophysiol. 523(Pt 2), 425–439. 10.1111/j.1469-7793.2000.t01-1-00425.x
36
JinX.HuguenardJ. R.PrinceD. A. (2005). Impaired Cl–extrusion in layer V pyramidal neurons of chronically injured epileptogenic neocortex. J. Neurophysiol. 93, 2117. 10.1152/jn.00728.2004
37
KailaK. (1994). Ionic basis of GABAA receptor channel function in the nervous system. Prog. Neurobiol. 42, 489. 10.1016/0301-0082(94)90049-3
38
KailaK.LamsaK.SmirnovS.TairaT.VoipioJ. (1997). Long-lasting GABA-mediated depolarization evoked by high-frequency stimulation in pyramidal neurons of rat hippocampal slice is attributable to a network-driven, bicarbonate-dependent K+ transient. J. Neurosci. 17, 7662.
39
KailaK.PasternackM.SaarikoskiJ.VoipioJ. (1989). Influence of GABA-gated bicarbonate conductance on potential, current and intracellular chloride in crayfish muscle fibres. J. Physiol. 416, 161–181.
40
KailaK.SaarikoskiJ.VoipioJ. (1990). Mechanism of action of GABA on intracellular pH and on surface pH in crayfish muscle fibres. J. Physiol. 427, 241–260.
41
KailaK.VoipioJ. (1987). Postsynaptic fall in intracellular pH induced by GABA-activated bicarbonate conductance. Nature330, 163–165. 10.1038/330163a0
42
KailaK.VoipioJ.PaalasmaaP.PasternackM.DeiszR. A. (1993). The role of bicarbonate in GABAA receptor-mediated IPSPs of rat neocortical neurones. J. Physiol. 464, 273–289.
43
KhirugS.YamadaJ.AfzalovR.VoipioJ.KhirougL.KailaK. (2008). GABAergic depolarization of the axon initial segment in cortical principal neurons is caused by the Na-K-2Cl cotransporter NKCC1. J. Neurosci. 28, 4635–4639. 10.1523/JNEUROSCI.0908-08.2008
44
KirischukS.ClementsJ. D.GrantynR. (2002). Presynaptic and postsynaptic mechanisms underlie paired pulse depression at single GABAergic boutons in rat collicular cultures. J. Physiol. 543, 99–116. 10.1113/jphysiol.2002.021576
45
KolbaevS. N.LuhmannH. J.KilbW. (2011). Activity-dependent scaling of GABAergic excitation by dynamic Cl- changes in Cajal-Retzius cells. Eur. J. Neurosci. 461, 557–565. 10.1007/s00424-011-0935-4
46
KunerT.AugustineG. J. (2000). A genetically encoded ratiometric indicator for chloride: capturing chloride transients in cultured hippocampal neurons. Neuron27, 447–459.
47
LambertN.GroverL. (1995). The mechanism of biphasic GABA responses. Science269, 928–929. 10.1126/science.7638614
48
LambertN.WilsonW. (1994). Temporally distinct mechanisms of use-dependent depression at inhibitory synapses in the rat hippocampus in vitro. J. Neurophysiol. 72, 121–130.
49
LamsaK. P.KailaK. (1997). Ionic mechanisms of spontaneous GABAergic events in rat hippocampal slices exposed to 4-aminopyridine. J. Neurophysiol. 78, 2582.
50
LamsaK. P.KullmannD. M.WoodinM. A. (2010). Spike-timing dependent plasticity in inhibitory circuits. Front. Synaptic Neurosci. 2:8. 10.3389/fnsyn.2010.00008
51
LamsaK. P.TairaT. (2003). Use-dependent shift from inhibitory to excitatory GABAA receptor action in SP-O interneurons in the rat hippocampal CA3 area. J. Neurophysiol. 90, 1983. 10.1152/jn.00060.2003
52
LasztócziB.NyitraiG.HéjaL.KardosJ. (2011). Synchronization of GABAergic inputs to CA3 pyramidal cells precedes seizure-like event onset injuvenile rat hippocampal slices. J. Neurophysiol. 102, 2538–2553. 10.1152/jn.91318.2008
53
LillisK. P.KramerM. A.MertzJ.StaleyK. J.WhiteJ. A. (2012). Pyramidal cells accumulate chloride at seizure onset. Neurobiol. Dis. 47, 358–366. 10.1016/j.nbd.2012.05.016
54
LondonM.HäusserM. (2005). Dendritic computation. Annu. Rev. Neurosci. 28, 503–532. 10.1146/annurev.neuro.28.061604.135703
55
LopantsevV.AvoliM. (1998). Participation of GABAA-mediated inhibition in ictallike discharges in the rat entorhinal cortex. J. Neurophysiol. 79, 352.
56
MarchettiC.TabakJ.ChubN.O'DonovanM. J.RinzelJ. (2005). Modeling spontaneous activity in the developing spinal cord using activity-dependent variations of intracellular chloride. J. Neurosci. 25, 3601–3612. 10.1523/JNEUROSCI.4290-04.2005
57
McCarrenM.AlgerB. E. (1985). Use-dependent depression of IPSPs in rat hippocampal pyramidal cells in vitro. J. Neurophysiol. 53, 557–571.
58
MegíasM.EmriZ.FreundT.GulyasA. (2001). Total number and distribution of inhibitory and excitatory synapses on hippocampal CA1 pyramidal cells. Neuroscience102, 527–540. 10.1016/S0306-4522(00)00496-6
59
MoritaK.TsumotoK.AiharaK. (2006). Bidirectional modulation of neuronal responses by depolarizing GABAergic inputs. Biophys. J. 90, 1925–1938. 10.1529/biophysj.105.063164
60
MottD. D.XieC. W.WilsonW. A.SwartzwelderH. S.LewisD. V. (1993). GABAB autoreceptors mediate activity-dependent disinhibition and enhance signal transmission in the dentate gyrus. J. Neurophysiol. 69, 674–691.
61
MuY.PooM.-M. (2006). Spike timing-dependent LTP/LTD mediates visual experience-dependent plasticity in a developing retinotectal system. Neuron50, 115–125. 10.1016/j.neuron.2006.03.009
62
OverstreetL. S.JonesM. V.WestbrookG. L. (2000). Slow desensitization regulates the availability of synaptic GABAA receptors. J. Neurosci. 20, 7914–7921.
63
PathakH. R.WeissingerF.TerunumaM.CarlsonG. C.HsuF. C.MossS. J.et al. (2007). Disrupted dentate granule cell chloride regulation enhances synaptic excitability during development of temporal lobe epilepsy. J. Neurosci. 27, 14012. 10.1523/JNEUROSCI.4390-07.2007
64
PaulsenO.SejnowskiT. J. (2000). Natural patterns of activity and long-term synaptic plasticity. Curr. Opin. Neurobiol. 10, 172–179. 10.1016/S0959-4388(00)00076-3
65
PayneJ. A. (1997). Functional characterization of the neuronal-specific K-Cl cotransporter: implications for [K+]o regulation. Am. J. Physiol. 273(5 Pt 1), C1516–C1525.
66
PerkinsK. L. (1999). Cl- accumulation does not account for the depolarizing phase of the synaptic GABA response in hippocampal pyramidal cells. J. Neurophysiol. 82, 768–777.
67
PerkinsK. L.WongR. K. S. (1997). The depolarizing GABA response. Can. J. Physiol. Pharmacol. 75, 515–519.
68
PouilleF.ScanzianiM. (2004). Routing of spike series by dynamic circuits in the hippocampus. Nature429, 717–723. 10.1038/nature02615
69
QianN.SejnowskiT. J. (1990). When is an inhibitory synapse effective?Proc. Natl. Acad. Sci. U.S.A. 87, 8145–8149.
70
RaimondoJ. V.KayL.EllenderT. J.AkermanC. J. (2012a). Optogenetic silencing strategies differ in their effects on inhibitory synaptic transmission. Nat. Neurosci. 15, 1102–1104. 10.1038/nn.3143
71
RaimondoJ. V.IrkleA.WefelmeyerW.NeweyS. E.AkermanC. J. (2012b). Genetically encoded proton sensors reveal activity-dependent pH changes in neurons. Front. Mol. Neurosci. 5:68. 10.3389/fnmol.2012.00068
72
RichardsB. A.VossO. P.AkermanC. J. (2010). GABAergic circuits control stimulus-instructed receptive field development in the optic tectum. Nat. Neurosci. 13, 1098–1106. 10.1038/nn.2612
73
RinkeI.ArtmannJ.SteinV. (2010). ClC-2 voltage-gated channels constitute part of the background conductance and assist chloride extrusion. J. Neurosci. 30, 4776–4786. 10.1523/JNEUROSCI.6299-09.2010
74
RiveraC.VoipioJ.KailaK. (2005). Two developmental switches in GABAergic signalling: the K+-Cl− cotransporter KCC2 and carbonic anhydrase CAVII. J. Physiol. 562, 27. 10.1113/jphysiol.2004.077495
75
RuusuvuoriE.LiH.HuttuK.PalvaJ. M.SmirnovS.RiveraC.et al. (2004). Carbonic anhydrase isoform VII acts as a molecular switch in the development of synchronous gamma-frequency firing of hippocampal CA1 pyramidal cells. J. Neurosci. 24, 2699. 10.1523/JNEUROSCI.5176-03.2004
76
SaragaF.BalenaT.WolanskyT.DicksonC. T.WoodinM. A. (2008). Inhibitory synaptic plasticity regulates pyramidal neuron spiking in the rodent hippocampus. Neuroscience155, 64–75. 10.1016/j.neuroscience.2008.05.009
77
SchwieningC. J.KennedyH. J.ThomasR. C. (1993). Calcium- hydrogen exchange by the plasma membrane Ca-ATPase of voltage- clamped snail neurons. Proc. Biol. Sci. 253, 285–289. 10.1098/rspb.1993.0115
78
SmirnovS.PaalasmaaP.UusisaariM.VoipioJ.KailaK. (1999). Pharmacological isolation of the synaptic and nonsynaptic components of the GABA-mediated biphasic response in rat CA1 hippocampal pyramidal cells. J. Neurosci. 19, 9252–9260.
79
SongL.MercadoA.VázquezN.XieQ.DesaiR.GeorgeA. L.et al. (2002). Molecular, functional, and genomic characterization of human KCC2, the neuronal K-Cl cotransporter. Brain Res. Mol. Brain Res. 103, 91–105. 10.1016/S0169-328X(02)00190-0
80
StaleyK. J.ProctorW. R. (1999). Modulation of mammalian dendritic GABAA receptor function by the kinetics of Cl- and HCO3- transport. J. Physiol. 519, 693. 10.1111/j.1469-7793.1999.0693n.x
81
StaleyK.SoldoB.ProctorB. L. (1995). Ionic mechanisms of neuronal excitation by inhibitory GABAA receptors. Science. 269, 977–981. 10.1126/science.7638623
82
SterlingD.CaseyJ. R. (1999). Transport activity of AE3 chloride/bicarbonate anion-exchange proteins and their regulation by intracellular pH. Biochem. J. 229, 221–229.
83
SzabadicsJ.VargaC.MolnarG.OlahS.BarzoP.TamasG. (2006). Excitatory effect of GABAergic axo-axonic cells in cortical microcircuits. Science311, 233–235. 10.1126/science.1121325
84
ThompsonS. M.GahwilerB. H. (1989a). Activity-dependent disinhibition. II. Effects of extracellular potassium, furosemide, and membrane potential on ECl-in hippocampal CA3 neurons. J. Neurophysiol. 61, 512.
85
ThompsonS.GahwilerB. (1989b). Activity-dependent disinhibition. I. Repetitive stimulation reduces IPSP driving force and conductance in the hippocampus in vitro. J. Neurophysiol. 61, 501.
86
TsodyksM. V.MarkramH. (1997). The neural code between neocortical pyramidal neurons depends. Proc. Natl. Acad. Sci. U.S.A. 94, 719–723.
87
ValeevaG.AbdullinA.TyzioR.SkorinkinA.NikolskiE.Ben-AriY.et al. (2010). Temporal coding at the immature depolarizing GABAergic synapse. Front. Cell. Neurosci. 4:17. 10.3389/fncel.2010.00017
88
VarelaJ.SenK.GibsonJ.FostJ.AbbottL. F.NelsonS. B. (1997). A quantitative description of short-term plasticity at excitatory synapses in layer 2/3 of rat primary visual cortex. J. Neurosci. 17, 7926–7940.
89
VidaI.BartosM.JonasP. (2006). Shunting inhibition improves robustness of gamma oscillations in hippocampal interneuron networks by homogenizing firing rates. Neuron49, 107–117. 10.1016/j.neuron.2005.11.036
90
ViitanenT. (2010). GABAA Receptor Mediated Signalling in the Brain: Inhibition, Shunting and Excitation. Phd Thesis. University of Helsinki, Finland, ISBN: 978-952-10-6364-0.
91
ViitanenT.RuusuvuoriE.KailaK.VoipioJ. (2010). The K+-Cl cotransporter KCC2 promotes GABAergic excitation in the mature rat hippocampus. J. Physiol. 588, 1527–1540. 10.1113/jphysiol.2009.181826
92
VoipioJ.KailaK. (2000). GABAergic excitation and K+-mediated volume transmission in the hippocampus. Prog. Brain Res. 125, 329–338. 10.1016/S0079-6123(00)25022-X
93
WangG. J.RandallR. D.ThayerS. A. (1994). Glutamate- induced intracellular acidification of cultured hippocampal neurons demonstrates altered energy metabolism resulting from Ca2+ loads. J. Neurophysiol. 72, 2563–2569.
94
WangX. J.BuzsákiG. (1996). Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. J. Neurosci. 16, 6402–6413.
95
WangY.GaoX.van den PolA. (2001). Membrane properties underlying patterns of GABA-dependent action potentials in developing mouse hypothalamic neurons. J. Neurophysiol. 86, 1252–1265.
96
WhittingtonM. A.TraubR. D.JefferysJ. G. R. (1995). Synchronized oscillations in interneuron networks driven by metabotropic glutamate receptor activation. Nature373, 612–615. 10.1038/373612a0
97
WoodinM. A.GangulyK.PooM. (2003). Coincident pre-and postsynaptic activity modifies GABAergic synapses by postsynaptic changes in Cl-transporter activity. Neuron39, 807–820.
98
WoodruffA. R.AndersonS. A.YusteR. (2010). The enigmatic function of chandelier cells. Front. Neurosci. 4:201. 10.3389/fnins.2010.00201
99
WrightR.RaimondoJ. V.AkermanC. J. (2011). Spatial and temporal dynamics in the ionic driving force for GABA(A) receptors. Neural Plast. 2011, 728395. 10.1155/2011/728395
100
XiongZ. Q.SaggauP.StringerJ. L. (2000). Activity-dependent intracellular acidification correlates with the duration of seizure activity. J. Neurosci. 20, 1290.
101
YusteR. (2011). Dendritic spines and distributed circuits. Neuron71, 772–781. 10.1016/j.neuron.2011.07.024
102
ZhuL.LovingerD.DelpireE. (2005). Cortical neurons lacking KCC2 expression show impaired regulation of intracellular chloride. J. Neurophysiol. 93, 1557–1568. 10.1152/jn.00616.2004
103
ZuckerR. S.RegehrW. G. (2002). Short-term synaptic plasticity. Ann. Rev. Physiol. 64, 355–405. 10.1146/annurev.physiol.64.092501.114547
Summary
Keywords
short-term ionic plasticity, GABA, chloride, GABAA receptors, synaptic transmission, EGABA, reversal potential, pH
Citation
Raimondo JV, Markram H and Akerman CJ (2012) Short-term ionic plasticity at GABAergic synapses. Front. Syn. Neurosci. 4:5. doi: 10.3389/fnsyn.2012.00005
Received
28 June 2012
Accepted
28 September 2012
Published
16 October 2012
Volume
4 - 2012
Edited by
Karri P. Lamsa, University of Oxford, UK
Reviewed by
Melanie A. Woodin, University of Toronto, Canada; Kai Kaila, University of Helsinki, Finland
Copyright
© 2012 Raimondo, Markram and Akerman.
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
*Correspondence: Colin J. Akerman, Akerman Lab, Department of Pharmacology, Oxford University, Oxford, Mansfield Road, OX1 3QT, USA. e-mail: colin.akerman@pharm.ox.ac.uk
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.