Virtual epileptic patient brain modeling: Relationships with seizure onset and surgical outcome.

ABSTRACT:

Objective

The virtual epileptic patient (VEP) is a large-scale brain modeling method based on virtual brain technology, using stereoelectroencephalography (SEEG), anatomical data (magnetic resonance imaging [MRI] and connectivity), and a computational neuronal model to provide computer simulations of a patient's seizures. VEP has potential interest in the presurgical evaluation of drug-resistant epilepsy by identifying regions most likely to generate seizures. We aimed to assess the performance of the VEP approach in estimating the epileptogenic zone and in predicting surgical outcome.

Methods

VEP modeling was retrospectively applied in a cohort of 53 patients with pharmacoresistant epilepsy and available SEEG, T1-weighted MRI, and diffusion-weighted MRI. Precision recall wa

SUBMITTER: Makhalova J 

PROVIDER: S-EPMC9543509 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature