- Abstract:
-
This technical note presents a dynamic causal modelling (DCM) procedure for evaluating different models of neurovascular coupling in the human brain - using combined electromagnetic (M/EEG) and functional magnetic resonance imaging (fMRI) data. This procedure compares the evidence for biologically informed models of neurovascular coupling using Bayesian model comparison. First, fMRI data are used to localise regionally specific neuronal responses. The coordinates of these responses are then u...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Publisher:
- Elsevier Publisher's website
- Journal:
- NeuroImage Journal website
- Volume:
- 216
- Issue:
- August 2020
- Article number:
- 116734
- Publication date:
- 2020-03-14
- Acceptance date:
- 2020-03-10
- DOI:
- EISSN:
-
1095-9572
- ISSN:
-
1053-8119
- Pmid:
-
32179105
- Pubs id:
-
1096534
- Local pid:
- pubs:1096534
- Language:
- English
- Keywords:
- Format:
- Print-Electronic
- Copyright holder:
- Jafarian et al.
- Copyright date:
- 2020
- Rights statement:
- ©2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- License:
- CC Attribution (CC BY)
Journal article
Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG
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