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Detection of correlated sources in EEG using combination of beamforming and surface Laplacian methods.

Abstract：

:Beamforming offers a way to estimate the solution to the inverse problem in EEG and MEG but is also known to perform poorly in the presence of highly correlated sources, e.g. during binaural auditory stimulation, when both left and right primary auditory cortices are activated simultaneously. Surface Laplacian, or the second spatial derivative calculated from the electric potential, allows for deblurring of EEG potential recordings reducing the effects of low skull conductivity and is independent of the reference electrode location. We show that anatomically constrained beamforming in conjunction with the surface Laplacian allows for detection of both locations and dynamics of temporally correlated sources in EEG. Whole-head 122 channel binaural stimulus EEG data were simulated using a boundary element method (BEM) and realistic geometry forward model. We demonstrate that in contrast to conventional potential-based EEG beamforming, Laplacian beamforming allows to determine locations of correlated source dipoles without any a priori assumption about the number of sources. We also show (by providing simulations of auditory evoked potentials) that the dynamics at the detected source locations can be derived from subsets of electrodes. Deblurring auditory evoked potential maps subdivides EEG signals from each hemisphere and allows for the beamformer to be applied separately for left and right hemispheres.

journal_name

J Neurosci Methods

journal_title

Journal of neuroscience methods

authors

Murzin V,Fuchs A,Scott Kelso JA

doi

10.1016/j.jneumeth.2013.05.001

subject

Has Abstract

pub_date

2013-08-15 00:00:00

pages

96-102

issue

1

eissn

0165-0270

issn

1872-678X

pii

S0165-0270(13)00175-1

journal_volume

218

pub_type

杂志文章

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