Cargando…

The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block

One characteristic of epilepsy is the variety of mechanisms leading to the epileptic state, which are still largely unknown. Refractory status epilepticus (RSE) and depolarization block (DB) are other pathological brain activities linked to epilepsy, whose patterns are different and whose mechanisms...

Descripción completa

Detalles Bibliográficos
Autores principales: El Houssaini, Kenza, Bernard, Christophe, Jirsa, Viktor K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096539/
https://www.ncbi.nlm.nih.gov/pubmed/32066612
http://dx.doi.org/10.1523/ENEURO.0485-18.2019
_version_ 1783510828739198976
author El Houssaini, Kenza
Bernard, Christophe
Jirsa, Viktor K.
author_facet El Houssaini, Kenza
Bernard, Christophe
Jirsa, Viktor K.
author_sort El Houssaini, Kenza
collection PubMed
description One characteristic of epilepsy is the variety of mechanisms leading to the epileptic state, which are still largely unknown. Refractory status epilepticus (RSE) and depolarization block (DB) are other pathological brain activities linked to epilepsy, whose patterns are different and whose mechanisms remain poorly understood. In epileptogenic network modeling, the Epileptor is a generic phenomenological model that has been recently developed to describe the dynamics of seizures. Here, we performed a detailed qualitative analysis of the Epileptor model based on dynamical systems theory and bifurcation analysis, and investigate the dynamic evolution of “normal” activity toward seizures and to the pathological RSE and DB states. The mechanisms of the transition between states are called bifurcations. Our detailed analysis demonstrates that the generic model undergoes different bifurcation types at seizure offset, when varying some selected parameters. We show that the pathological and normal activities can coexist within the same model under some conditions, and demonstrate that there are many pathways leading to and away from these activities. We here archive systematically all behaviors and dynamic regimes of the Epileptor model to serve as a resource in the development of patient-specific brain network models, and more generally in epilepsy research.
format Online
Article
Text
id pubmed-7096539
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Society for Neuroscience
record_format MEDLINE/PubMed
spelling pubmed-70965392020-03-26 The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block El Houssaini, Kenza Bernard, Christophe Jirsa, Viktor K. eNeuro Research Article: New Research One characteristic of epilepsy is the variety of mechanisms leading to the epileptic state, which are still largely unknown. Refractory status epilepticus (RSE) and depolarization block (DB) are other pathological brain activities linked to epilepsy, whose patterns are different and whose mechanisms remain poorly understood. In epileptogenic network modeling, the Epileptor is a generic phenomenological model that has been recently developed to describe the dynamics of seizures. Here, we performed a detailed qualitative analysis of the Epileptor model based on dynamical systems theory and bifurcation analysis, and investigate the dynamic evolution of “normal” activity toward seizures and to the pathological RSE and DB states. The mechanisms of the transition between states are called bifurcations. Our detailed analysis demonstrates that the generic model undergoes different bifurcation types at seizure offset, when varying some selected parameters. We show that the pathological and normal activities can coexist within the same model under some conditions, and demonstrate that there are many pathways leading to and away from these activities. We here archive systematically all behaviors and dynamic regimes of the Epileptor model to serve as a resource in the development of patient-specific brain network models, and more generally in epilepsy research. Society for Neuroscience 2020-03-16 /pmc/articles/PMC7096539/ /pubmed/32066612 http://dx.doi.org/10.1523/ENEURO.0485-18.2019 Text en Copyright © 2020 El Houssaini et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Research Article: New Research
El Houssaini, Kenza
Bernard, Christophe
Jirsa, Viktor K.
The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block
title The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block
title_full The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block
title_fullStr The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block
title_full_unstemmed The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block
title_short The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block
title_sort epileptor model: a systematic mathematical analysis linked to the dynamics of seizures, refractory status epilepticus, and depolarization block
topic Research Article: New Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096539/
https://www.ncbi.nlm.nih.gov/pubmed/32066612
http://dx.doi.org/10.1523/ENEURO.0485-18.2019
work_keys_str_mv AT elhoussainikenza theepileptormodelasystematicmathematicalanalysislinkedtothedynamicsofseizuresrefractorystatusepilepticusanddepolarizationblock
AT bernardchristophe theepileptormodelasystematicmathematicalanalysislinkedtothedynamicsofseizuresrefractorystatusepilepticusanddepolarizationblock
AT jirsaviktork theepileptormodelasystematicmathematicalanalysislinkedtothedynamicsofseizuresrefractorystatusepilepticusanddepolarizationblock
AT elhoussainikenza epileptormodelasystematicmathematicalanalysislinkedtothedynamicsofseizuresrefractorystatusepilepticusanddepolarizationblock
AT bernardchristophe epileptormodelasystematicmathematicalanalysislinkedtothedynamicsofseizuresrefractorystatusepilepticusanddepolarizationblock
AT jirsaviktork epileptormodelasystematicmathematicalanalysislinkedtothedynamicsofseizuresrefractorystatusepilepticusanddepolarizationblock