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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
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.
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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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