Preoperative structural-functional coupling at the default mode network predicts surgical outcomes of temporal lobe epilepsy.

Chunyao ZhouFangfang XieDong-Cui WangXiaoting HuangDanni GuoYangsa DuLing XiaoDingyang LiuBo XiaoZhiquan YangLi Feng

Published in: Epilepsia (2024)

Presurgical hyper-SFC in the DMN was strongly associated with postoperative seizure recurrence. Furthermore, our results introduce a novel SFC-based machine learning model to precisely classify the surgical outcomes of TLE.

Keyphrases

temporal lobe epilepsy
machine learning
patients undergoing
functional connectivity
artificial intelligence
resting state
free survival
big data
network analysis