Keywords: Signal Modeling, fMRI (resting state), Neuro, brain modeling, The Virtual Brain
Motivation: Brain dynamic simulators rely on the same model for each grey matter region.
Goal(s): We embed region-specific mean field models (MFs) into virtual brains by designing a flexible framework linking input/output signals from different MFs.
Approach: We integrate a recently-developed cerebellar MF into “The Virtual Brain” platform. We simulate brain dynamics with cerebellar MF for cerebellar nodes and connect cerebellar MF input/output with MFs previously used for other regions.
Results: The multi-modEl framework is ready to be used with any number of different MFs; moreover, in the cerebellum, using its realistic MF improves 7-folds the correlation between simulated and empirical functional connectivity.
Impact: Simulations of brain dynamics rely on assigning the same model to all brain regions, not capturing cortical microcircuits diversities. We developed a framework to connect region-specific mean field models and demonstrated an improved performance in the cerebellum, towards personalized simulations.
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