Magnetoencephalographic source localization and reconstruction via deep learning

Within this manuscript a deep learning algorithm designed to achieve both spatial and temporal source reconstruction based on signals captured by MEG devices is introduced. Brain signal estimation at source level is a significant challenge in magnetoencephalographic (MEG) data processing. Traditiona...

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Bibliographic Details
Main Authors: Stefano Franceschini, Michele Ambrosanio, Maria Maddalena Autorino, Sohail Maqsood, Fabio Baselice
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Neuroscience
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Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1578473/full
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