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A taxonomy of seizure dynamotypes
Seizures are a disruption of normal brain activity present across a vast range of species and conditions. We introduce an organizing principle that leads to the first objective Taxonomy of Seizure Dynamics (TSD) based on bifurcation theory. The ‘dynamotype’ of a seizure is the dynamic composition th...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375810/ https://www.ncbi.nlm.nih.gov/pubmed/32691734 http://dx.doi.org/10.7554/eLife.55632 |
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author | Saggio, Maria Luisa Crisp, Dakota Scott, Jared M Karoly, Philippa Kuhlmann, Levin Nakatani, Mitsuyoshi Murai, Tomohiko Dümpelmann, Matthias Schulze-Bonhage, Andreas Ikeda, Akio Cook, Mark Gliske, Stephen V Lin, Jack Bernard, Christophe Jirsa, Viktor Stacey, William C |
author_facet | Saggio, Maria Luisa Crisp, Dakota Scott, Jared M Karoly, Philippa Kuhlmann, Levin Nakatani, Mitsuyoshi Murai, Tomohiko Dümpelmann, Matthias Schulze-Bonhage, Andreas Ikeda, Akio Cook, Mark Gliske, Stephen V Lin, Jack Bernard, Christophe Jirsa, Viktor Stacey, William C |
author_sort | Saggio, Maria Luisa |
collection | PubMed |
description | Seizures are a disruption of normal brain activity present across a vast range of species and conditions. We introduce an organizing principle that leads to the first objective Taxonomy of Seizure Dynamics (TSD) based on bifurcation theory. The ‘dynamotype’ of a seizure is the dynamic composition that defines its observable characteristics, including how it starts, evolves and ends. Analyzing over 2000 focal-onset seizures from multiple centers, we find evidence of all 16 dynamotypes predicted in TSD. We demonstrate that patients’ dynamotypes evolve during their lifetime and display complex but systematic variations including hierarchy (certain types are more common), non-bijectivity (a patient may display multiple types) and pairing preference (multiple types may occur during one seizure). TSD provides a way to stratify patients in complement to present clinical classifications, a language to describe the most critical features of seizure dynamics, and a framework to guide future research focused on dynamical properties. |
format | Online Article Text |
id | pubmed-7375810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-73758102020-07-24 A taxonomy of seizure dynamotypes Saggio, Maria Luisa Crisp, Dakota Scott, Jared M Karoly, Philippa Kuhlmann, Levin Nakatani, Mitsuyoshi Murai, Tomohiko Dümpelmann, Matthias Schulze-Bonhage, Andreas Ikeda, Akio Cook, Mark Gliske, Stephen V Lin, Jack Bernard, Christophe Jirsa, Viktor Stacey, William C eLife Computational and Systems Biology Seizures are a disruption of normal brain activity present across a vast range of species and conditions. We introduce an organizing principle that leads to the first objective Taxonomy of Seizure Dynamics (TSD) based on bifurcation theory. The ‘dynamotype’ of a seizure is the dynamic composition that defines its observable characteristics, including how it starts, evolves and ends. Analyzing over 2000 focal-onset seizures from multiple centers, we find evidence of all 16 dynamotypes predicted in TSD. We demonstrate that patients’ dynamotypes evolve during their lifetime and display complex but systematic variations including hierarchy (certain types are more common), non-bijectivity (a patient may display multiple types) and pairing preference (multiple types may occur during one seizure). TSD provides a way to stratify patients in complement to present clinical classifications, a language to describe the most critical features of seizure dynamics, and a framework to guide future research focused on dynamical properties. eLife Sciences Publications, Ltd 2020-07-21 /pmc/articles/PMC7375810/ /pubmed/32691734 http://dx.doi.org/10.7554/eLife.55632 Text en © 2020, Saggio et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Saggio, Maria Luisa Crisp, Dakota Scott, Jared M Karoly, Philippa Kuhlmann, Levin Nakatani, Mitsuyoshi Murai, Tomohiko Dümpelmann, Matthias Schulze-Bonhage, Andreas Ikeda, Akio Cook, Mark Gliske, Stephen V Lin, Jack Bernard, Christophe Jirsa, Viktor Stacey, William C A taxonomy of seizure dynamotypes |
title | A taxonomy of seizure dynamotypes |
title_full | A taxonomy of seizure dynamotypes |
title_fullStr | A taxonomy of seizure dynamotypes |
title_full_unstemmed | A taxonomy of seizure dynamotypes |
title_short | A taxonomy of seizure dynamotypes |
title_sort | taxonomy of seizure dynamotypes |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375810/ https://www.ncbi.nlm.nih.gov/pubmed/32691734 http://dx.doi.org/10.7554/eLife.55632 |
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