Journal
ELIFE
Volume 9, Issue -, Pages -Publisher
eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.55632
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Funding
- European Union [211713]
- DFG/Cluster of Excellence BrainLinks-BrainTools [1086]
- Ministry of Education, Culture, Sports, Science and Technology [15H05871, 19H03574]
- National Health and Medical Research Council [GNT1183119]
- Ligue Francaise contre l'Epilepsie
- Horizon 2020 Framework Programme [785907, 945539]
- Horizon 2020 m-Gate project Marie Sklodowska-Curie grant [765549]
- Fondation pour la Recherche Medicale [DIC 20161236442]
- SATT Sud Est The Virtual Brain
- Agence Nationale de la Recherche
- National Institutes of Health [K01-ES026839, K08-NS069783, R01-NS094399]
- Michigan Medicine Robbins Family Research Fund
- Michigan Medicine Lucas Family Research Fund
- Grants-in-Aid for Scientific Research [15H05871, 19H03574] Funding Source: KAKEN
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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-bljectlvlty (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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