Synchronization-based graph spatio-temporal attention network for seizure prediction

Synchronization-based graph spatio-temporal attention network for seizure prediction

Abstract Epilepsy is a common neurological disorder in which abnormal brain waves propagate rapidly in the brain in the form of a graph network during seizures, and seizures are extremely sudden. So, designing accurate and reliable prediction methods can provide early warning for patients, which is...

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Bibliographic Details
Main Authors: Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Seizure prediction
Graph attention network
Transformer
Spatio-temporal attention
Online Access:https://doi.org/10.1038/s41598-025-88492-5
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