The role of Cerebellum in a visuomotor task: A Dynamic Causal Modeling approach
Roberta Maria Lorenzi1, Adnan Alahmadi2,3, Letizia Casiraghi1,4, Anita Monteverdi1,5, Egidio D'Angelo1,5, Fulvia Palesi1, and Claudia AM Gandini Wheeler-Kingshott1,3,5
1Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 2Department of Diagnostic Radiology, College of Applied medical sciences, King Abdulaziz University, Jeddah, Saudi Arabia, 3NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, UCL, London, United Kingdom, 4Department of Mental Health and Dependence, ASST of Pavia, Pavia, Italy, 5Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy
Dynamic Causal Modelling(DCM) is a framework enabling the quantification of the causal relationship between functionally connected brain regions. Here we included the cerebellum in a visuomotor network to investigate its role in motion prediction and how different Grip-Force levels modulate the effective connectivity between cerebellum and primary visual cortex. We estimated different DCMs models and we used Bayesian Models Selection to assess the best model at group-level. This study paves the way for investigating the source of BOLD non-linearities when applying different grip-forces in terms of modulations of the cerebro-cerebellar connections.
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