Quantifying hubness to predict surgical outcomes in epilepsy: Assessing resection-hub alignment in interictal intracranial EEG networks.

Ruxue Gong Rebecca W RothKaitlyn HullHaris RashidWilliam A VandergriftAlexandra ParashosNishant SinhaKathryn A DavisLeonardo BonilhaEzequiel L Gleichgerrcht

Published in: Epilepsia (2024)

Our findings underscore the role of network hub surgical removal, measured through the RHAD metric of interictal intracranial EEG high gamma networks, in enhancing our understanding of seizure outcomes in epilepsy surgery.

Keyphrases

temporal lobe epilepsy
network analysis
functional connectivity
resting state
working memory
minimally invasive
optic nerve
bioinformatics analysis
coronary artery bypass
high density
metabolic syndrome
adipose tissue
coronary artery disease
percutaneous coronary intervention
skeletal muscle
atrial fibrillation