Visual Features in Stereo-Electroencephalography to Predict Surgical Outcome: A Multicenter Study.

ABSTRACT:

Objective

Epilepsy surgery needs predictive features that are easily implemented in clinical practice. Previous studies are limited by small sample sizes, lack of external validation, and complex computational approaches. We aimed to identify and validate visually stereo-electroencephalography (SEEG) features with the highest predictive value for surgical outcome, and assess the reliability of their visual extraction.

Methods

We included 177 patients with drug-resistant epilepsy who underwent SEEG-guided surgery at 4 epilepsy centers. We assessed the predictive performance of 10 SEEG features from various SEEG periods for surgical outcome, using the area under the receiver operating characteristic curve, and considering resected channels and surgical outcome as the gold stan

SUBMITTER: Abdallah C 

PROVIDER: S-EPMC12392059 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature