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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Raquel Fernández-Martín, Alfonso Gijón, Odile Feys, Elodie Juvené, Alec Aeby, Charline Urbain, Xavier De Tiège, Vincent Wens
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2025-07-01
Schriftenreihe:Scientific Reports
Schlagworte:
Automatic interictal epileptiform discharges detection
Convolutional Neural Networks
Deep Learning
Epilepsy
Magnetoencephalography
Online-Zugang:https://doi.org/10.1038/s41598-025-03880-1
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