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Abstract #1797

The impact of cerebrocortical-cerebellar loops on brain dynamics in simulations using The Virtual Brain

Fulvia Palesi1, Roberta Lorenzi1, Claudia Casellato1, Petra Ritter2, Viktor Jirsa3, Claudia AM Gandini Wheeler-Kingshott1,4,5, and Egidio D'Angelo1,5
1Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 2Department of Neurology with Experimental Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany, 3Institut de Neurosciences des Systèmes - Inserm UMR1106, Aix-Marseille Université, Marseille, France, 4NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom, 5IRCCS Mondino Foundation, Pavia, Italy

The Virtual Brain(TVB) has been developed to simulate brain dynamics starting from individual structural and functional connectivity(FC) MRI data. Nowadays, only cerebrocortical circuits have been considered. Here, we provided the first TVB simulations including cerebellar nodes on single-subject datasets. The brain dynamics simulated by either including or excluding cerebrocortical-cerebellar connectivity were compared, revealing that the predictive power of empirical FC is not significantly modified by inclusion of cerebro-cerebellar loops. To improve the present results and apply this pipeline to predict disease states involving cerebrocortical-cerebellar loops, specific neural mass models accounting for cerebellar microcircuit physiology need to be integrated in TVB.

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