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Abstract #1282

A complete cerebellar mean-field model ready to be integrated into whole-brain dynamic simulators

Roberta Maria Lorenzi1, Alice Geminiani1, Yann Zerlaut2, Alain Destexhe3, Claudia A.M. Gandini Wheeler Kingshott1,4,5, Fulvia Palesi1, Claudia Casellato1, and Egidio D'Angelo1,5
1Department of Brain and Behavioral Sciences, Università di Pavia, Pavia, Italy, 2Institut du Cerveau - Paris Brain Institute, ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France, 3CNRS, Paris-Saclay University, Saclay, France, 4Department of Neuroinflammation, UCL Queen Square Institute of Neurology, NMR Research Unit, Queen Square Multiple Sclerosis Centre, London, United Kingdom, 5Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy

Synopsis

Keywords: In Silico, New Devices, Mean fieldWhole-brain dynamics can be reproduced in silico by simulating Blood Oxygen Level Dependent (BOLD) signals, typically recorded with fMRI, using cortical and subcortical mean-field models, which provide a population-level description of the underlying neuronal dynamics. Notably, a mean-field model specific for the cerebellum is missing given its structural and functional specific properties. We present the first biologically-grounded cerebellar mean-field model optimized on experimental data. Our model reproduces cerebellar activity and synaptic mechanisms characterizing physiological and pathological conditions. The cerebellar mean-field model is a new device ready to be integrated in whole-brain dynamic simulator, improving understanding of brain function and dysfunction.

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