Interaction Between Cerebellum and Cerebral Cortex, Evidence from Dynamic Causal Modeling
Author(s)
Bukhari, Qasim; Ruf, Sebastian F.; Guell, Xavier; Whitfield-Gabrieli, Susan; Anteraper, Sheeba
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The interaction of the cerebellum with cerebral cortical dynamics is still poorly understood. In this paper, dynamical causal modeling is used to examine the interaction between cerebellum and cerebral cortex as indexed by MRI resting-state functional connectivity in three large-scale networks on healthy young adults (N = 200; Human Connectome Project dataset). These networks correspond roughly to default mode, task positive, and motor as determined by prior cerebellar functional gradient analyses. We find uniform interactions within all considered networks from cerebellum to cerebral cortex, providing support for the notion of a universal cerebellar transform. Our results provide a foundation for future analyses to quantify and further investigate whether this is a property that is unique to the interactions from cerebellum to cerebral cortex.
Date issued
2021-06Department
McGovern Institute for Brain Research at MIT; Massachusetts Institute of Technology. Department of Brain and Cognitive SciencesJournal
The Cerebellum
Publisher
Springer US
Citation
Bukhari, Qasim, Ruf, Sebastian F., Guell, Xavier, Whitfield-Gabrieli, Susan and Anteraper, Sheeba. 2021. "Interaction Between Cerebellum and Cerebral Cortex, Evidence from Dynamic Causal Modeling."
Version: Author's final manuscript
ISSN
1473-4230