Journal article icon

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 ...

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

Actions


Access Document


Files:
Publisher copy:
10.1016/j.neuroimage.2014.08.019

Authors


Woolrich, M More by this author
Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
102 Pt 2
Pages:
945-954
Publication date:
2014-11-05
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
URN:
uuid:9d1d90f0-df51-4523-a5c5-6dbba6af6847
Source identifiers:
481491
Local pid:
pubs:481491

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP