A comprehensive prediction model of drug-refractory epilepsy based on combined clinical-EEG microstate features.

ABSTRACT:

Background

Epilepsy is a chronic neurological disorder characterized by recurrent seizures that significantly impact patients' quality of life. Identifying predictors is crucial for early intervention.

Objective

Electroencephalography (EEG) microstates effectively describe the resting state activity of the human brain using multichannel EEG. This study aims to develop a comprehensive prediction model that integrates clinical features with EEG microstates to predict drug-refractory epilepsy (DRE).

Design

Retrospective study.

Methods

This study encompassed 226 patients with epilepsy treated at the epilepsy center of a tertiary hospital between October 2020 and May 2023. Patients were categorized into DRE and non-DRE groups. All patients were randomly divided into

SUBMITTER: Zhang J 

PROVIDER: S-EPMC11456178 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature