STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG

Abstract Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges (IEDs). Clinical MEG analysis in epileptic patients traditionally relies on the visual identification of IEDs, which is time consuming and partially subjective. Automatic, data-driven detect...

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出版年:	Scientific Reports
主要な著者:	Raquel Fernández-Martín, Alfonso Gijón, Odile Feys, Elodie Juvené, Alec Aeby, Charline Urbain, Xavier De Tiège, Vincent Wens
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2025-07-01
主題:	Automatic interictal epileptiform discharges detection Convolutional Neural Networks Deep Learning Epilepsy Magnetoencephalography
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-03880-1