… Using brain imaging techniques such as MRI, fMRI, and MEG… , functional, and effective.
Structural connectivity can have … an adaptive spatial filter (beamformer) to reconstruct source …

… when applying beamformers because these adaptive spatial … spike activity or the use of
single dipole source reconstruction … whether MEG methods can be used to effectively localize …

… Because MEG offers direct inference on brain … field data, and source-space (beamformer-reconstructed)
functional images, … estimate the effectiveness of each of our three MEG systems: …

… be optimised for effective source reconstruction. We show that … the beamformer estimate
( q θ ^ ( t ) ) and the true source … MEG data contain activity from a single source in the brain, …

… , and are computationally efficient with fast convergence in … variance adaptive beamforming
[8], [9], and other variants of … to jointly estimate the brain activity and noise with MEG/EEG data…

… discuss a relatively novel approach used in MEG/EEG studies … to quantify functional and
effective connectivities for MEG/EEG … source-level coherence with a two-dipole beamforming …

… large-scale magnetoencephalography (MEG) activity in human early-stage AD patients. …
Source reconstruction was performed by an atlas-based beamforming approach [39]. Sensor …

… To effectively deal with noise while maintaining flexibility and … (LCMV) beamformer is a type
of adaptive spatial filter that localizes … We illustrate the results of source reconstruction under …

… of beamformers over other source-reconstruction strategies … high CCD values, indicating
the existence of periods of high … A successful model of resting-state MEG data must generate …

… on a minimum norm estimate and a beamformer filter. … same team also applied MEG source
connectivity to 70 Parkinson’… An efficient solution, described in this review, is to compute the …