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Journal article

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

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Publisher copy:
10.1016/j.neuroimage.2014.08.019

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
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
Source identifiers:
489562
Language:
English
Keywords:
Pubs id:
pubs:489562
UUID:
uuid:f62542c2-4b21-41ab-8094-c14374668b18
Local pid:
pubs:489562
Deposit date:
2014-11-17

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