- 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
- Files:
-
-
(pdf, 1.6mb)
-
- Publisher copy:
- 10.1016/j.neuroimage.2014.08.019
-
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- 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:
- Copyright holder:
- Oswal et al.
- Copyright date:
- 2014
- Notes:
-
Copyright © 2014 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/3.0/).
Journal article
Optimising beamformer regions of interest analysis
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