Source localization using virtual magnetoencephalography helmets: A simulation study toward a prior-based tailored scheme.

ABSTRACT: Magnetoencephalography (MEG) source estimation of brain electromagnetic fields is an ill-posed problem. A virtual MEG helmet (VMH), can be constructed by recording in different head positions and then transforming the multiple head-MEG coordinates into one head frame (i.e., as though the MEG helmet was moving while the head remained static). The constructed VMH has sensors placed in various distances and angles, thus improving the spatial sampling of neuromagnetic fields. VMH has been previously shown to increase total information in comparison to a standard MEG helmet. The aim of this study was to examine whether VMH can improve source estimation accuracy. To this end, controlled simulations were carried out, in which the source characteristics are predefined. A series of VMHs were constr

SUBMITTER: Arviv O 

PROVIDER: S-EPMC9485615 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature