The Seizure Embedding Map: A Spatio-Temporal Transformer for Comparing Patients by Ictal Intracranial EEG Features at Scale.

ABSTRACT:

Objective

Planning invasive treatment for medication-resistant epilepsy relies on qualitatively interpreting seizure recordings from intracranial EEG (iEEG) recordings. Clinicians recommend treatment by mapping seizure onset patterns and locations, integrating multimodal data with their clinical experience and interpretation of the literature. Referencing a new patient's seizures against past cases remains subjective, as implant strategies, electrode placement, and the electrodes' relation to seizure onset vary across patients and centers. This study aims to rigorize this process by introducing a transformer model that embeds spatial and temporal information in iEEG recordings to categorize seizure networks and their relation to outcome across a large cohort of drug-resistant epile

SUBMITTER: Pattnaik AR 

PROVIDER: S-EPMC12633090 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature