… the adaptive beamformers. We show in Section III that the background brain activity can
cause a significant reduction in the source intensity and severe spatial blur in adaptive-…

… as an effective method for the localization of brain activity from … Only small differences
exist among various beamforming … of beamformers in the presence of correlated sources, in …

… academic open source software packages for MEG analysis (… The successful estimation of
source activity using beamformers … to obtain a whole brain estimate of source time courses, …

… To reconstruct activity via vector LCMV beamformer from the … efficient and prone to errors if
the seed source is set apriori. … of activity across all N sources represented in the whole brain …

… brain dynamics [2]. Toward this goal, a number of algorithms for … ical experiments verify the
effectiveness of the proposed beam- … Three signal sources were assumed to exist on a plane …

… source imaging estimate source distributions that reconstruct (… noise covariance, and the
effective number of sensors (rank) … However, pathological brain activity may produce high SNR, …

… to correlated brain activity present in real MEG and EEG data … , there are still no efficient
source reconstruction algorithms. … cortical activity really impacts the performance of Beamformer. …

… source reconstruction approach, beamforming… beamformers provide us with a magic way
to image the brain. However, the methods do bring to light a simple and surprisingly successful …

… brain image of the brain's activity. However, the sensitivity of the … be small and that
component will effectively not be retained. The … source time course and the beamformer-reconstructed …

… Linearly constrained minimum variance beamformers are highly effective for analysis of …
(MEG) these adaptive spatial filters reconstruct signals from a given brain location using the …