Optimizing EEG Source Reconstruction with Concurrent fMRI-Derived Spatial Priors.

ABSTRACT: Reconstructing EEG sources involves a complex pipeline, with the inverse problem being the most challenging. Multiple inversion algorithms are being continuously developed, aiming to tackle the non-uniqueness of this problem, which has been shown to be partially circumvented by including prior information in the inverse models. Despite a few efforts, there are still current and persistent controversies regarding the inversion algorithm of choice and the optimal set of spatial priors to be included in the inversion models. The use of simultaneous EEG-fMRI data is one approach to tackle this problem. The spatial resolution of fMRI makes fMRI derived spatial priors very convenient for EEG reconstruction, however, only task activation maps and resting-state networks (RSNs) have been explored s

SUBMITTER: Abreu R 

PROVIDER: S-EPMC9098592 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature