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      Tonic GABA A conductance decreases membrane time constant and increases EPSP-spike precision in hippocampal pyramidal neurons

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          Abstract

          Because of a complex dendritic structure, pyramidal neurons have a large membrane surface relative to other cells and so a large electrical capacitance and a large membrane time constant (τ m). This results in slow depolarizations in response to excitatory synaptic inputs, and consequently increased and variable action potential latencies, which may be computationally undesirable. Tonic activation of GABA A receptors increases membrane conductance and thus regulates neuronal excitability by shunting inhibition. In addition, tonic increases in membrane conductance decrease the membrane time constant (τ m), and improve the temporal fidelity of neuronal firing. Here we performed whole-cell current clamp recordings from hippocampal CA1 pyramidal neurons and found that bath application of 10μM GABA indeed decreases τ m in these cells. GABA also decreased first spike latency and jitter (standard deviation of the latency) produced by current injection of 2 rheobases (500 ms). However, when larger current injections (3–6 rheobases) were used, GABA produced no significant effect on spike jitter, which was low. Using mathematical modeling we demonstrate that the tonic GABA A conductance decreases rise time, decay time and half-width of EPSPs in pyramidal neurons. A similar effect was observed on EPSP/IPSP pairs produced by stimulation of Schaffer collaterals: the EPSP part of the response became shorter after application of GABA. Consistent with the current injection data, a significant decrease in spike latency and jitter was obtained in cell attached recordings only at near-threshold stimulation (50% success rate, S 50). When stimulation was increased to 2- or 3- times S 50, GABA significantly affected neither spike latency nor spike jitter. Our results suggest that a decrease in τ m associated with elevations in ambient GABA can improve EPSP-spike precision at near-threshold synaptic inputs.

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          Most cited references40

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          Enforcement of temporal fidelity in pyramidal cells by somatic feed-forward inhibition.

          The temporal resolution of neuronal integration depends on the time window within which excitatory inputs summate to reach the threshold for spike generation. Here, we show that in rat hippocampal pyramidal cells this window is very narrow (less than 2 milliseconds). This narrowness results from the short delay with which disynaptic feed-forward inhibition follows monosynaptic excitation. Simultaneous somatic and dendritic recordings indicate that feed-forward inhibition is much stronger in the soma than in the dendrites, resulting in a broader integration window in the latter compartment. Thus, the subcellular partitioning of feed-forward inhibition enforces precise coincidence detection in the soma, while allowing dendrites to sum incoming activity over broader time windows.
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            Channel-mediated tonic GABA release from glia.

            Synaptic inhibition is based on both tonic and phasic release of the inhibitory transmitter γ-aminobutyric acid (GABA). Although phasic GABA release arises from Ca(2+)-dependent exocytosis from neurons, the mechanism of tonic GABA release is unclear. Here we report that tonic inhibition in the cerebellum is due to GABA being released from glial cells by permeation through the Bestrophin 1 (Best1) anion channel. We demonstrate that GABA directly permeates through Best1 to yield GABA release and that tonic inhibition is eliminated by silencing of Best1. Glial cells express both GABA and Best1, and selective expression of Best1 in glial cells, after preventing general expression of Best1, fully rescues tonic inhibition. Our results identify a molecular mechanism for tonic inhibition and establish a role for interactions between glia and neurons in mediating tonic inhibition.
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              Ovarian cycle-linked changes in GABA(A) receptors mediating tonic inhibition alter seizure susceptibility and anxiety.

              Disturbances of neuronal excitability changes during the ovarian cycle may elevate seizure frequency in women with catamenial epilepsy and enhance anxiety in premenstrual dysphoric disorder (PMDD). The mechanisms underlying these changes are unknown, but they could result from the effects of fluctuations in progesterone-derived neurosteroids on the brain. Neurosteroids and some anxiolytics share an important site of action: tonic inhibition mediated by delta subunit-containing GABA(A) receptors (deltaGABA(A)Rs). Here we demonstrate periodic alterations in specific GABA(A)R subunits during the estrous cycle in mice, causing cyclic changes of tonic inhibition in hippocampal neurons. In late diestrus (high-progesterone phase), enhanced expression of deltaGABA(A)Rs increases tonic inhibition, and a reduced neuronal excitability is reflected by diminished seizure susceptibility and anxiety. Eliminating cycling of deltaGABA(A)Rs by antisense RNA treatment or gene knockout prevents the lowering of excitability during diestrus. Our findings are consistent with possible deficiencies in regulatory mechanisms controlling normal cycling of deltaGABA(A)Rs in individuals with catamenial epilepsy or PMDD.
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                Author and article information

                Journal
                Front Neural Circuits
                Front Neural Circuits
                Front. Neural Circuits
                Frontiers in Neural Circuits
                Frontiers Media S.A.
                1662-5110
                25 December 2013
                2013
                : 7
                : 205
                Affiliations
                [1] 1Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology London, UK
                [2] 2RIKEN Brain Science Institute Wako-shi, Japan
                [3] 3Department of Neurodynamics and Neurobiology, University of Nizhny Novgorod Nizhny Novgorod, Russia
                Author notes

                Edited by: Istvan Mody, University of California at Los Angeles, USA

                Reviewed by: Attila Szücs, University of California at San Diego, USA; Allan T. Gulledge, Geisel School of Medicine at Dartmouth, USA

                *Correspondence: Alexey Semyanov, RIKEN Brain Science Institute (BSI), 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan e-mail: semyanov@ 123456brain.riken.jp

                This article was submitted to the journal Frontiers in Neural Circuits.

                Article
                10.3389/fncir.2013.00205
                3872325
                24399937
                7d7e95ca-4f5c-486d-b14b-c57470237cb7
                Copyright © 2013 Wlodarczyk, Xu, Song, Doronin, Wu, Walker and Semyanov.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 01 August 2013
                : 11 December 2013
                Page count
                Figures: 6, Tables: 0, Equations: 0, References: 49, Pages: 8, Words: 6200
                Categories
                Neuroscience
                Original Research Article

                Neurosciences
                spike jitter,epsp-spike precision,gaba,hippocampus,tonic conductance
                Neurosciences
                spike jitter, epsp-spike precision, gaba, hippocampus, tonic conductance

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