Journal article
Tracking dynamic brain networks using high temporal resolution MEG measures of functional connectivity
- Abstract:
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Fluctuations in functional interactions between brain regions typically occur at the millisecond time scale. Conventional connectivity metrics are not adequately time-resolved to detect such fast fluctuations in functional connectivity. At the same time, attempts to use conventional metrics in a time-resolved manner usually come with the selection of sliding windows of fixed arbitrary length. In the current work, we evaluated the use of high temporal resolution metrics of functional connectiv...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
-
(Accepted manuscript, pdf, 2.2MB)
-
- Publisher copy:
- 10.1016/j.neuroimage.2019.06.006
Authors
Funding
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- NeuroImage Journal website
- Volume:
- 200
- Pages:
- 38-50
- Publication date:
- 2019-06-14
- Acceptance date:
- 2019-06-03
- DOI:
- EISSN:
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1095-9572
- ISSN:
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1053-8119
- Pmid:
-
31207339
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:1026647
- UUID:
-
uuid:a95adacc-8dab-4412-9f8b-a17d102765f1
- Local pid:
- pubs:1026647
- Source identifiers:
-
1026647
- Deposit date:
- 2019-08-09
Terms of use
- Copyright holder:
- Elsevier Inc.
- Copyright date:
- 2019
- Rights statement:
- © 2019 Elsevier Inc. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.neuroimage.2019.06.006
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