Volume-transmitted GABA waves pace epileptiform rhythms in the hippocampal network

Vincent Magloire* (Corresponding Author), Leonid P. Savtchenko* (Corresponding Author), Thomas P. Jensen, Sergyi Sylantyev, Olga Kopach, Nicholas Cole, Olga Tyurikova, Dimitri M. Kullmann, Matthew C. Walker, Jonathan S. Marvin, Loren L. Looger, Jeremy P. Hasseman, Ilya Kolb, Ivan Pavlov, Dmitri A. Rusakov* (Corresponding Author)

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Mechanisms that entrain and pace rhythmic epileptiform discharges remain debated. Traditionally, the quest to understand them has focused on interneuronal networks driven by synaptic GABAergic connections. However, synchronized interneuronal discharges could also trigger the transient elevations of extracellular GABA across the tissue volume, thus raising tonic conductance (Gtonic) of synaptic and extrasynaptic GABA receptors in multiple cells. Here, we monitor extracellular GABA in hippocampal slices using patch-clamp GABA “sniffer” and a novel optical GABA sensor, showing that periodic epileptiform discharges are preceded by transient, region-wide waves of extracellular GABA. Neural network simulations that incorporate volume-transmitted GABA signals point to a cycle of GABA-driven network inhibition and disinhibition underpinning this relationship. We test and validate this hypothesis using simultaneous patch-clamp recordings from multiple neurons and selective optogenetic stimulation of fast-spiking interneurons. Critically, reducing GABA uptake in order to decelerate extracellular GABA fluctuations—without affecting synaptic GABAergic transmission or resting GABA levels—slows down rhythmic activity. Our findings thus unveil a key role of extrasynaptic, volume-transmitted GABA in pacing regenerative rhythmic activity in brain networks.

Original languageEnglish
Pages (from-to)1249-1264.e7
JournalCurrent Biology
Volume33
Issue number7
Early online date10 Apr 2023
DOIs
Publication statusPublished - 10 Apr 2023

Bibliographical note

Funding Information:
This work was supported by Wellcome Principal Fellowship (212251/Z/18/Z and 212285/Z/18/Z), Wellcome Collaborative Award (UNS120639 - 223131/Z/21/Z), Epilepsy Research UK (F1901), MRC (MR/W019752/1, MR/V013556/1, and MR/V034758/1), NC3Rs (NC/X001067/1), and ERC Advanced Grant (323113). Optimization and parallelization of ARACHNE algorithms for extended neural network simulations was provided by AMC Bridge (Waltham, MA) and web security by Cyber Curio (Berkhamsted, UK). L.P.S. and D.A.R. narrated the study. I.P. and V.M. designed and carried out electrophysiological and optogenetic studies. N.C. O.K. and T.P.J. designed, carried out, and analyzed iGABASnFR2 imaging experiments. S.S. carried out sniffer-patch experiments. O.T. carried out control-probing K+ imaging tests. L.P.S. designed and carried out network modeling studies and data analyses. J.S.M. L.L.L. J.P.H. and I.K. supplied optical GABA sensors and related protocols. The development of iGABASnFR2 was conducted under the aegis of the HHMI Janelia GENIE Project at Janelia Research Campus. D.M.K. and M.C.W. designed optogenetic experiments. D.A.R. designed selected experiments and simulations, carried out selected analyses, and wrote the manuscript draft, with contributions from V.M. L.P.S. and all other authors. The authors declare no competing interests. We support inclusive, diverse, and equitable conduct of research.

Publisher Copyright:
© 2023 The Author(s)

Data Availability Statement


Data reported in this paper will be shared by the lead contact upon request.


The original code for network simulation is deposited at GitHub and is publicly available as of the date of publication. Doi is specified in the key resources table.


Any additional information required to reanalyze the data reported in this paper is available from the lead upon request.

Keywords

  • brain rhythms
  • epilepsy
  • extracellular GABA
  • GABA uptake
  • GAT-1
  • iGABASnFR2
  • spiking neural networks
  • tonic GABA conductance
  • volume transmission

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