Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG.

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 used as the location priors in a DCM of electrophysiological responses elicited by the same paradigm. The ensuing estimates of model parameters are then used to generate neuronal drive functions, which model pre- or post-synaptic activity for each experimental condition. These functions form the input t

SUBMITTER: Jafarian A 

PROVIDER: S-EPMC7322559 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature