A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping.

ABSTRACT: Spatial leakage effects are particularly confounding for seed-based investigations of brain networks using source-level electroencephalography (EEG) or magnetoencephalography (MEG). Various methods designed to avoid this issue have been introduced but are limited to particular assumptions about its temporal characteristics. Here, we investigate the usefulness of a model-based geometric correction scheme (GCS) to suppress spatial leakage emanating from the seed location. We analyze its properties theoretically and then assess potential advantages and limitations with simulated and experimental MEG data (resting state and auditory-motor task). To do so, we apply Minimum Norm Estimation (MNE) for source reconstruction and use variation of error parameters, statistical gauging of spatial leaka

SUBMITTER: Wens V 

PROVIDER: S-EPMC6869295 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature