SEEGformer: personalised SEEG-based seizure detection and epileptogenic zone localisation for drug-resistant epilepsy.

ABSTRACT:

Background

Epilepsy is a heterogeneous syndrome. Personalised localisation of epileptogenic zone (EZ) is critical for diagnosis and treatment of drug-resistant focal epilepsy. Multichannel stereoelectroencephalography (SEEG) monitoring acquired over a period of two to three weeks was collected in different patients, resulting in comprehensive epileptogenic information and terabytes of high dimensional data. Consequently, there is a need for high-throughput data analytical methods to enable data-driven, personalised seizure detection and EZ localisation.

Methods

Here, a seizure detection and EZ localisation AI system - SEEGformer is proposed, by utilising SEEG data from 61 patients acquired across two centres and three cohorts capturing tens of thousands of abnormal discharge

SUBMITTER: Wang C 

PROVIDER: S-EPMC12774776 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature