Optimising beamformer regions of interest analysis.
Beamforming is a spatial filtering based source reconstruction method for EEG and MEG that allows the estimation of neuronal activity at a particular location within the brain. The computation of the location specific filter depends solely on an estimate of the data covariance matrix and on the forw...
Huvudupphovsmän: | Oswal, A, Litvak, V, Brown, P, Woolrich, M, Barnes, G |
---|---|
Materialtyp: | Journal article |
Språk: | English |
Publicerad: |
Elsevier
2014
|
Liknande verk
Liknande verk
-
Optimising beamformer regions of interest analysis
av: Oswal, A, et al.
Publicerad: (2014) -
MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization.
av: Woolrich, M, et al.
Publicerad: (2011) -
Movement related dynamics of subthalmo-cortical alpha connectivity in Parkinson's disease.
av: Oswal, A, et al.
Publicerad: (2013) -
Synchronized neural oscillations and the pathophysiology of Parkinson's disease.
av: Oswal, A, et al.
Publicerad: (2013) -
Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients.
av: Litvak, V, et al.
Publicerad: (2010)