Deep learning based source imaging provides strong sublobar localization of epileptogenic zone from MEG interictal spikes.

ABSTRACT: Electromagnetic source imaging (ESI) offers unique capability of imaging brain dynamics for studying brain functions and aiding the clinical management of brain disorders. Challenges exist in ESI due to the ill-posedness of the inverse problem and thus the need of modeling the underlying brain dynamics for regularizations. Advances in generative models provide opportunities for more accurate and realistic source modeling that could offer an alternative approach to ESI for modeling the underlying brain dynamics beyond equivalent physical source models. However, it is not straightforward to explicitly formulate the knowledge arising from these generative models within the conventional ESI framework. Here we investigate a novel source imaging framework based on mesoscale neuronal modeling and

SUBMITTER: Sun R 

PROVIDER: S-EPMC10771628 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature