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Abstract #2337

Mesoscale functional characterization of cerebellar stripes lays the foundation for linking molecular specificity to fMRI signals

Roberta Maria Lorenzi1, Simone Tartabini1, Alice Geminiani1, Claudia A.M. Gandini Wheeler Kingshott1,2,3, Claudia Casellato1, Egidio D'Angelo1,3, and Fulvia Palesi1
1Department of Brain and Behavioral Sciences, Università di Pavia, Pavia, Italy, 2NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 3Digital Neuroscience Center, IRCCS Mondino Foundation, Pavia, Italy

Synopsis

Keywords: Mesoscale: columns and layers, Signal Modeling, Cerebellum, Neuroscience, BOLD signal

Motivation: Heterogeneity in cerebellar Purkinje cells (PC), linked with cortical molecular zones, affects functional roles and plasticity-driven tasks.

Goal(s): We aim to integrate the molecular functional specificity of zebrin-positive/negative cerebellar regions into large-scale simulations.

Approach: We included zebrin-related properties in PCs of a cerebellar spiking network at microscale, used to derive the corresponding cerebellar mean-field model (CRBL-MF) at mesoscale. We built a high-resolution cerebellar atlas including the paravermis mapping zebrin-positive/negative regions. Zebrin-specific CRBL-MFs were assigned accordingly to simulate the impact of zebrine-specificity on the cerebellum-brainstem closed-loop.

Results: A mapped composition of zebrine-positive/negative CRBL-MFs reproduced a more realistic macroscale activity of the cerebellum-brainstem closed-loop.

Impact: We introduced zebrin-specificity into the cerebellar mean-field model and mapped it onto a new cerebellar high-resolution parcellation for large-scale signal modeling. This opens the possibility to refine an observational model to retain this molecular differentiation in fMRI signal simulation.

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