Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation.

ABSTRACT:

Introduction

Accurate localization of the seizure onset zone (SOZ) is critical for successful epilepsy surgery but remains challenging with current techniques. We developed a novel seizure onset network characterization tool that combines dynamic biomarkers of resting-state intracranial stereoelectroencephalography (rs-iEEG) and resting-state functional magnetic resonance imaging (rs-fMRI), vetted against surgical outcomes. This approach aims to reduce reliance on capturing seizures during invasive monitoring to pinpoint the SOZ.

Methods

We computed the source-sink index (SSI) from rs-iEEG for all implanted regions and from rs-fMRI for regions identified as potential SOZs by noninvasive modalities. The SSI scores were evaluated in 17 pediatric drug-resistant epilepsy (DRE) p

SUBMITTER: Boerwinkle VL 

PROVIDER: S-EPMC11811083 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature