Literature DB >> 22902963

γ-Aminobutyric acid receptor type A receptor potentiation reduces firing of neuronal assemblies in a computational cortical model.

Kingsley P Storer1, George N Reeke.   

Abstract

BACKGROUND: The understanding of how general anesthetics act on individual cells and on global brain function has increased significantly during the last decade. What remains poorly understood is how anesthetics act at intermediate scales. Several major theories emphasize the importance of neuronal groups, sets of strongly connected neurons that fire in a time-locked fashion, in all aspects of brain function, particularly as a necessary substrate of consciousness. The authors have undertaken computer modeling to determine how ã-aminobutyric acid receptor type A (GABAA) receptor potentiating agents such as propofol may influence the dynamics of neuronal group formation and ongoing activity.
METHODS: A computer model of a cortical network with connections modified by synaptic plasticity was examined. At baseline, the model spontaneously formed neuronal groups. Direct effects of GABAA receptor potentiation and indirect effects on input drive were then examined to study their effects on this process.
RESULTS: Potentiation of GABAA inhibition and input drive reduction reduced the firing frequency of inhibitory and excitatory neurons in a dose-dependent manner. The diminution in spiking rates led to dramatic reductions in the firing frequency of neuronal groups. Simulated electroencephalographic output from the model at baseline exhibits gamma and theta rhythmicity. The direct and indirect GABAA effects reduce the amplitude of these underlying rhythms and modestly slow the gamma rhythm.
CONCLUSIONS: GABAA facilitation both directly and indirectly inhibits the ability of neurons to form groups spontaneously. A lack of group formation is consistent with some theories of anesthetic-induced loss of memory formation and consciousness.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22902963     DOI: 10.1097/ALN.0b013e318269ba6d

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  2 in total

Review 1.  Modeling the dynamical effects of anesthesia on brain circuits.

Authors:  Shinung Ching; Emery N Brown
Journal:  Curr Opin Neurobiol       Date:  2014-01-21       Impact factor: 6.627

2.  Modeling cortical synaptic effects of anesthesia and their cholinergic reversal.

Authors:  Bolaji P Eniwaye; Victoria Booth; Anthony G Hudetz; Michal Zochowski
Journal:  PLoS Comput Biol       Date:  2022-06-23       Impact factor: 4.779

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.