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Optimising beamformer regions of interest analysis

Abstract:

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 forward model. Increasing the number of M/EEG sensors, increases the quantity of data required for accurate covariance matrix estimation. Often however we have a prior hypothesis about the site of, or ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1016/j.neuroimage.2014.08.019

Authors


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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience, Biomedical Research Centre
Woolrich, M More by this author
Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
102
Issue:
P2
Pages:
954-954
Publication date:
2014-11-05
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
URN:
uuid:f62542c2-4b21-41ab-8094-c14374668b18
Source identifiers:
489562
Local pid:
pubs:489562
Language:
English
Keywords:

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