Cargando…
Computational Modeling of Seizure Dynamics Using Coupled Neuronal Networks: Factors Shaping Epileptiform Activity
Epileptic seizure dynamics span multiple scales in space and time. Understanding seizure mechanisms requires identifying the relations between seizure components within and across these scales, together with the analysis of their dynamical repertoire. Mathematical models have been developed to repro...
Autores principales: | Naze, Sebastien, Bernard, Christophe, Jirsa, Viktor |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4430284/ https://www.ncbi.nlm.nih.gov/pubmed/25970348 http://dx.doi.org/10.1371/journal.pcbi.1004209 |
Ejemplares similares
-
Modeling epileptic dynamics in the hippocampus using a multiscale approach
por: Naze, Sébastien, et al.
Publicado: (2013) -
Neuronal Cascades Shape Whole-Brain Functional Dynamics at Rest
por: Rabuffo, Giovanni, et al.
Publicado: (2021) -
The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block
por: El Houssaini, Kenza, et al.
Publicado: (2020) -
On the spatiotemporal dynamics and couplings across epileptogenic networks
por: Proix, Timothée, et al.
Publicado: (2013) -
Computational modeling of seizure spread on a cortical surface
por: Sip, Viktor, et al.
Publicado: (2021)