Literature DB >> 9559940

Computer model of antiepileptic effects mediated by alterations in GABA(A)-mediated inhibition.

E Thomas1, W W Lytton.   

Abstract

Results from a computer model of a thalamic network predict that agents augmenting GABA(A)-mediated inhibition in the reticular thalamic (RE) nucleus will be antiepileptic or desynchronizing. This provides support for the hypothesis that antiepileptics like benzodiazepines may exert their effects through an isolated increase of inhibition in the RE nucleus. When desynchronized, the model thalamocortical neurons showed a decreased probability of firing a low threshold spike, a decreased secondary inhibitory postsynaptic potential and a higher frequency of oscillations. The transition to desynchrony was also accompanied by an increased frequency in the firing of the model RE neurons.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9559940     DOI: 10.1097/00001756-199803090-00024

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  6 in total

Review 1.  Computational modeling of epilepsy for an experimental neurologist.

Authors:  Abbey B Holt; Theoden I Netoff
Journal:  Exp Neurol       Date:  2012-05-14       Impact factor: 5.330

2.  GABAB receptors suppress burst-firing in reticular thalamic neurons.

Authors:  Stuart M Cain; Esperanza Garcia; Zeina Waheed; Karen L Jones; Trevor J Bushell; Terrance P Snutch
Journal:  Channels (Austin)       Date:  2017-08-22       Impact factor: 2.581

3.  Computer modeling of epilepsy: opportunities for drug discovery.

Authors:  William W Lytton
Journal:  Drug Discov Today Dis Models       Date:  2017-06-03

4.  Modeling pathogenesis and treatment response in childhood absence epilepsy.

Authors:  Andrew T Knox; Tracy Glauser; Jeffrey Tenney; William W Lytton; Katherine Holland
Journal:  Epilepsia       Date:  2017-12-18       Impact factor: 5.864

Review 5.  Interactions between membrane conductances underlying thalamocortical slow-wave oscillations.

Authors:  A Destexhe; T J Sejnowski
Journal:  Physiol Rev       Date:  2003-10       Impact factor: 37.312

Review 6.  Modeling Neurotransmission: Computational Tools to Investigate Neurological Disorders.

Authors:  Daniela Gandolfi; Giulia Maria Boiani; Albertino Bigiani; Jonathan Mapelli
Journal:  Int J Mol Sci       Date:  2021-04-27       Impact factor: 5.923

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.