Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG
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 i...
Main Authors: | Amirhossein Jafarian, Vladimir Litvak, Hayriye Cagnan, Karl J. Friston, Peter Zeidman |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-08-01
|
Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920302214 |
Similar Items
-
Bayesian fusion and multimodal DCM for EEG and fMRI
by: Huilin Wei, et al.
Published: (2020-05-01) -
Adiabatic dynamic causal modelling
by: Amirhossein Jafarian, et al.
Published: (2021-09-01) -
Empirical Bayes for DCM: a group inversion scheme
by: Karl eFriston, et al.
Published: (2015-11-01) -
Empirical Bayes for group (DCM) studies: a reproducibility study
by: Vladimir eLitvak, et al.
Published: (2015-12-01) -
Variational Bayesian Causal Connectivity Analysis for fMRI
by: Martin eLuessi, et al.
Published: (2014-05-01)