Seizure forecasting: Bifurcations in the long and winding road.
chronic EEG
circadian
multidien
seizure cycles
seizure forecasting
wearable devices
Journal
Epilepsia
ISSN: 1528-1167
Titre abrégé: Epilepsia
Pays: United States
ID NLM: 2983306R
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
revised:
20
05
2022
received:
15
02
2022
accepted:
20
05
2022
medline:
28
12
2023
pubmed:
24
5
2022
entrez:
23
5
2022
Statut:
ppublish
Résumé
To date, the unpredictability of seizures remains a source of suffering for people with epilepsy, motivating decades of research into methods to forecast seizures. Originally, only few scientists and neurologists ventured into this niche endeavor, which, given the difficulty of the task, soon turned into a long and winding road. Over the past decade, however, our narrow field has seen a major acceleration, with trials of chronic electroencephalographic devices and the subsequent discovery of cyclical patterns in the occurrence of seizures. Now, a burgeoning science of seizure timing is emerging, which in turn informs best forecasting strategies for upcoming clinical trials. Although the finish line might be in view, many challenges remain to make seizure forecasting a reality. This review covers the most recent scientific, technical, and medical developments, discusses methodology in detail, and sets a number of goals for future studies.
Identifiants
pubmed: 35604546
doi: 10.1111/epi.17311
pmc: PMC9681938
mid: NIHMS1810007
doi:
Types de publication
Review
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
S78-S98Subventions
Organisme : NINDS NIH HHS
ID : UG3 NS123066
Pays : United States
Informations de copyright
© 2022 International League Against Epilepsy.
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