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
Actions
Access Document
- Files:
-
-
(Version of record, pdf, 1.6MB)
-
- Publisher copy:
- 10.1016/j.neuroimage.2014.08.019
Authors
Bibliographic Details
- 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
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:489562
- UUID:
-
uuid:f62542c2-4b21-41ab-8094-c14374668b18
- Local pid:
- pubs:489562
- Deposit date:
- 2014-11-17
Terms of use
- 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/).
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record