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Personalized Deep Learning based Source Imaging Framework Improves the Imaging of Epileptic Sources from MEG Interictal Spikes

2022-11-16

Abstract excerpt

Electromagnetic source imaging (ESI) has been widely used to image brain activities for research and clinical applications from MEG and EEG. It is a challenging task due to the ill-posedness of the problem and the complexity of modeling the underlying brain dynamics. Deep learning has gained attention in the ESI field for its ability to model complex distributions and has successfully demonstrated improved imaging...

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Literature Corpus work
f258d212-e566-54f2-a38f-00fa5859db79
DOI
10.1101/2022.11.13.516312
Open publication

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Personalized Deep Learning based Source Imaging Framework Improves the Imaging of Epileptic Sources from MEG Interictal SpikesDOI 10.1101/2022.11.13.516312
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