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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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 |
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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 |
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