Dynamic Causal Modelling (DCM) is a framework enabling to quantify the causal relationship between functionally connected regions of the brain. Here we investigate cerebellum role in motion generation by adding a cerebellar node to an already validated motor network. We assessed how this operation improved DCM fMRI prediction. First- and second-level analyses were performed and the network including the cerebellum predicted the observed data with higher efficiency at single subject and group level. This network is important to study people with motor impairment where one could compare DCM predictions in heathy subjects and patients.
This abstract and the presentation materials are available to members only; a login is required.