Cargando…

Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy

Recent studies have shown that seizures can spread and terminate across brain areas via a rich diversity of spatiotemporal patterns. In particular, while the location of the seizure onset area is usually invariant across seizures in an individual patient, the source of traveling (2–3 Hz) spike-and-w...

Descripción completa

Detalles Bibliográficos
Autores principales: Proix, Timothée, Jirsa, Viktor K., Bartolomei, Fabrice, Guye, Maxime, Truccolo, Wilson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852068/
https://www.ncbi.nlm.nih.gov/pubmed/29540685
http://dx.doi.org/10.1038/s41467-018-02973-y
_version_ 1783306491141292032
author Proix, Timothée
Jirsa, Viktor K.
Bartolomei, Fabrice
Guye, Maxime
Truccolo, Wilson
author_facet Proix, Timothée
Jirsa, Viktor K.
Bartolomei, Fabrice
Guye, Maxime
Truccolo, Wilson
author_sort Proix, Timothée
collection PubMed
description Recent studies have shown that seizures can spread and terminate across brain areas via a rich diversity of spatiotemporal patterns. In particular, while the location of the seizure onset area is usually invariant across seizures in an individual patient, the source of traveling (2–3 Hz) spike-and-wave discharges during seizures can either move with the slower propagating ictal wavefront or remain stationary at the seizure onset area. Furthermore, although many focal seizures terminate synchronously across brain areas, some evolve into distinct ictal clusters and terminate asynchronously. Here, we introduce a unifying perspective based on a new neural field model of epileptic seizure dynamics. Two main mechanisms, the co-existence of wave propagation in excitable media and coupled-oscillator dynamics, together with the interaction of multiple time scales, account for the reported diversity. We confirm our predictions in seizures and tractography data obtained from patients with pharmacologically resistant epilepsy. Our results contribute toward patient-specific seizure modeling.
format Online
Article
Text
id pubmed-5852068
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-58520682018-03-16 Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy Proix, Timothée Jirsa, Viktor K. Bartolomei, Fabrice Guye, Maxime Truccolo, Wilson Nat Commun Article Recent studies have shown that seizures can spread and terminate across brain areas via a rich diversity of spatiotemporal patterns. In particular, while the location of the seizure onset area is usually invariant across seizures in an individual patient, the source of traveling (2–3 Hz) spike-and-wave discharges during seizures can either move with the slower propagating ictal wavefront or remain stationary at the seizure onset area. Furthermore, although many focal seizures terminate synchronously across brain areas, some evolve into distinct ictal clusters and terminate asynchronously. Here, we introduce a unifying perspective based on a new neural field model of epileptic seizure dynamics. Two main mechanisms, the co-existence of wave propagation in excitable media and coupled-oscillator dynamics, together with the interaction of multiple time scales, account for the reported diversity. We confirm our predictions in seizures and tractography data obtained from patients with pharmacologically resistant epilepsy. Our results contribute toward patient-specific seizure modeling. Nature Publishing Group UK 2018-03-14 /pmc/articles/PMC5852068/ /pubmed/29540685 http://dx.doi.org/10.1038/s41467-018-02973-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Proix, Timothée
Jirsa, Viktor K.
Bartolomei, Fabrice
Guye, Maxime
Truccolo, Wilson
Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy
title Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy
title_full Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy
title_fullStr Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy
title_full_unstemmed Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy
title_short Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy
title_sort predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852068/
https://www.ncbi.nlm.nih.gov/pubmed/29540685
http://dx.doi.org/10.1038/s41467-018-02973-y
work_keys_str_mv AT proixtimothee predictingthespatiotemporaldiversityofseizurepropagationandterminationinhumanfocalepilepsy
AT jirsaviktork predictingthespatiotemporaldiversityofseizurepropagationandterminationinhumanfocalepilepsy
AT bartolomeifabrice predictingthespatiotemporaldiversityofseizurepropagationandterminationinhumanfocalepilepsy
AT guyemaxime predictingthespatiotemporaldiversityofseizurepropagationandterminationinhumanfocalepilepsy
AT truccolowilson predictingthespatiotemporaldiversityofseizurepropagationandterminationinhumanfocalepilepsy