期刊
ADVANCED SCIENCE
卷 -, 期 -, 页码 -出版社
WILEY
DOI: 10.1002/advs.202200887
关键词
connectivity; resting state; stereotactic-electroencephalography (SEEG); seizure localization; seizure outcome; seizure-onset zone
资金
- NIH [EB021027, NS096761, MH114233, EB029354, AT009263, NS124564]
This study developed a new method to localize the seizure onset zone (SOZ) and predict seizure outcome using short-time resting-state SEEG data. They found that greater differences in resting-state information flow between SOZ and non-SOZ regions are associated with favorable seizure outcome.
Localization of epileptogenic zone currently requires prolonged intracranial recordings to capture seizure, which may take days to weeks. The authors developed a novel method to identify the seizure onset zone (SOZ) and predict seizure outcome using short-time resting-state stereotacticelectroencephalography (SEEG) data. In a cohort of 27 drug-resistant epilepsy patients, the authors estimated the information flow via directional connectivity and inferred the excitation-inhibition ratio from the 1/f power slope. They hypothesized that the antagonism of information flow at multiple frequencies between SOZ and non-SOZ underlying the relatively stable epilepsy resting state could be related to the disrupted excitation-inhibition balance. They found flatter 1/f power slope in non-SOZ regions compared to the SOZ, with dominant information flow from non-SOZ to SOZ regions. Greater differences in resting-state information flow between SOZ and non-SOZ regions are associated with favorable seizure outcome. By integrating a balanced random forest model with resting-state connectivity, their method localized the SOZ with an accuracy of 88% and predicted the seizure outcome with an accuracy of 92% using clinically determined SOZ. Overall, this study suggests that brief resting-state SEEG data can significantly facilitate the identification of SOZ and may eventually predict seizure outcomes without requiring long-term ictal recordings.
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