Journal article
Discovering dynamic brain networks from big data in rest and task
- Abstract:
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Brain activity is a dynamic combination of the responses to sensory inputs and its own spontaneous processing. Consequently, such brain activity is continuously changing whether or not one is focusing on an externally imposed task. Previously, we have introduced an analysis method that allows us, using Hidden Markov Models (HMM), to model task or rest brain activity as a dynamic sequence of distinct brain networks, overcoming many of the limitations posed by sliding window approaches. Here, w...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
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(Version of record, pdf, 3.3MB)
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- Publisher copy:
- 10.1016/j.neuroimage.2017.06.077
Authors
Funding
+ Medical Research Council
More from this funder
Funding agency for:
Woolrich, M
Grant:
MEG Partnership Grant (MR/K005464/1
+ Wellcome Trust
More from this funder
Funding agency for:
Vidaurre, D
Woolrich, M
Grant:
Strategic Award (098369/Z/12/Z
MEG Partnership Grant (MR/K005464/1
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- NeuroImage Journal website
- Volume:
- 180
- Issue:
- B
- Pages:
- 646-656
- Publication date:
- 2017-06-28
- Acceptance date:
- 2017-06-29
- DOI:
- ISSN:
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1053-8119
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:707823
- UUID:
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uuid:86678704-f293-4a95-a392-5922b259cdad
- Local pid:
- pubs:707823
- Deposit date:
- 2017-07-13
Terms of use
- Copyright holder:
- Crown Copyright
- Copyright date:
- 2017
- Notes:
- Crown Copyright © 2017 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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