Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Modeling Seizures: From Single Neurons to Networks

Version 1 : Received: 19 February 2021 / Approved: 22 February 2021 / Online: 22 February 2021 (14:45:55 CET)
Version 2 : Received: 11 June 2021 / Approved: 16 June 2021 / Online: 16 June 2021 (12:14:49 CEST)

How to cite: Depannemaecker, D.; Destexhe, A.; Jirsa, V.; Bernard, C. Modeling Seizures: From Single Neurons to Networks. Preprints 2021, 2021020478 (doi: 10.20944/preprints202102.0478.v1). Depannemaecker, D.; Destexhe, A.; Jirsa, V.; Bernard, C. Modeling Seizures: From Single Neurons to Networks. Preprints 2021, 2021020478 (doi: 10.20944/preprints202102.0478.v1).

Abstract

Dynamical systems tools offer a complementary approach to detailed biophysical seizure modeling, with high potential for clinical applications. This review describes the theoretical framework, allowing theorizing certain properties of seizures and their classifications according to their dynamics properties at onset and offset. We describe various modeling approaches spanning different scales, from single neurons to large-scale networks. We try to offer a large accessible overview through non-exhaustive examples of recent important works.

Keywords

epilepsy; computational model; seizures; single neurons level; networks; whole brain

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