A taxonomy of seizure dynamotypes

Maria Luisa Saggio; Dakota Crisp; Jared M. Scott; Philippa Karoly; Levin Kuhlmann; Mitsuyoshi Nakatani; Tomohiko Murai; Matthias Dümpelmann; Andreas Schulze-Bonhage; Akio Ikeda; Mark Cook; Stephen V. Gliske; Jack Lin; Christophe Bernard; Viktor Jirsa; William C. Stacey

doi:10.7554/eLife.55632

A taxonomy of seizure dynamotypes

Maria Luisa Saggio, Dakota Crisp, Jared M. Scott, Philippa Karoly, Levin Kuhlmann, Mitsuyoshi Nakatani, Tomohiko Murai, Matthias Dümpelmann, Andreas Schulze-Bonhage, Akio Ikeda, Mark Cook, Stephen V. Gliske, Jack Lin, Christophe Bernard, Viktor Jirsa, William C. Stacey

Research output: Contribution to journal › Article › peer-review

48 Scopus citations

Abstract

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.

Original language	English (US)
Article number	e55632
Pages (from-to)	1-56
Number of pages	56
Journal	eLife
Volume	9
DOIs	https://doi.org/10.7554/eLife.55632
State	Published - Jul 2020
Externally published	Yes

ASJC Scopus subject areas

Neuroscience(all)
Biochemistry, Genetics and Molecular Biology(all)
Immunology and Microbiology(all)

Access to Document

10.7554/eLife.55632

Cite this

@article{3eb525d116b7444bb4368f1c8a037fc0,

title = "A taxonomy of seizure dynamotypes",

abstract = "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 {\textquoteleft}dynamotype{\textquoteright} 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{\textquoteright} 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.",

author = "Saggio, {Maria Luisa} and Dakota Crisp and Scott, {Jared M.} and Philippa Karoly and Levin Kuhlmann and Mitsuyoshi Nakatani and Tomohiko Murai and Matthias D{\"u}mpelmann and Andreas Schulze-Bonhage and Akio Ikeda and Mark Cook and Gliske, {Stephen V.} and Jack Lin and Christophe Bernard and Viktor Jirsa and Stacey, {William C.}",

note = "Funding Information: Tomohiko Murai, Akio Ikeda: Department of Epilepsy, Movement Disorders and Physiology is the Industry-Academia Collaboration Courses, supported by a grant from Eisai Corporation, Nihon Koh-den Corporation, Otsuka Pharmaceutical Co., and UCB Japan Co. The other authors declare that no competing interests exist. Publisher Copyright: {\textcopyright} Saggio et al.",

year = "2020",

month = jul,

doi = "10.7554/eLife.55632",

language = "English (US)",

volume = "9",

pages = "1--56",

journal = "eLife",

issn = "2050-084X",

publisher = "eLife Sciences Publications",

}

TY - JOUR

T1 - A taxonomy of seizure dynamotypes

AU - Saggio, Maria Luisa

AU - Crisp, Dakota

AU - Scott, Jared M.

AU - Karoly, Philippa

AU - Kuhlmann, Levin

AU - Nakatani, Mitsuyoshi

AU - Murai, Tomohiko

AU - Dümpelmann, Matthias

AU - Schulze-Bonhage, Andreas

AU - Ikeda, Akio

AU - Cook, Mark

AU - Gliske, Stephen V.

AU - Lin, Jack

AU - Bernard, Christophe

AU - Jirsa, Viktor

AU - Stacey, William C.

N1 - Funding Information: Tomohiko Murai, Akio Ikeda: Department of Epilepsy, Movement Disorders and Physiology is the Industry-Academia Collaboration Courses, supported by a grant from Eisai Corporation, Nihon Koh-den Corporation, Otsuka Pharmaceutical Co., and UCB Japan Co. The other authors declare that no competing interests exist. Publisher Copyright: © Saggio et al.

PY - 2020/7

Y1 - 2020/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85088351181&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85088351181&partnerID=8YFLogxK

U2 - 10.7554/eLife.55632

DO - 10.7554/eLife.55632

M3 - Article

C2 - 32691734

AN - SCOPUS:85088351181

SN - 2050-084X

VL - 9

SP - 1

EP - 56

JO - eLife

JF - eLife

M1 - e55632

ER -

A taxonomy of seizure dynamotypes

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this