Modeling Seizures: From Single Neurons to Networks

Damien Depannemaecker; Alain Destexhe; Viktor Jirsa; Christophe Bernard

doi:10.20944/preprints202102.0478.v2

Preprint Review Version 2 Preserved in Portico This version is not peer-reviewed

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)

Dynamical system tools offer a complementary approach to detailed biophysical seizure modeling, with a high potential for clinical applications. This review describes the theoretical framework that provides a basis for theorizing certain properties of seizures and for their classification according to their dynamical properties at onset and offset. We describe various modeling approaches spanning different scales, from single neurons to large-scale networks. This narrative review provides an accessible overview of this field, including non-exhaustive examples of key recent works.

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

Medicine and Pharmacology, Neuroscience and Neurology

Comment 1

Received: 16 June 2021
Commenter: Damien Depannemaecker
Commenter's Conflict of Interests: Author

Comment: Revised version

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Modeling Seizures: From Single Neurons to Networks

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