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Updated: Jan 25, 2026

Modeling Human Cerebellar Development In Vitro in 2D Structure
Published on: September 16, 2022
The cerebellar components of the human language network
Colton Casto1, Moshe Poliak2, Greta Tuckute3
1Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, MA 02138, USA; Program in Speech and Hearing Bioscience and Technology (SHBT), Harvard University, Cambridge, MA 02138, USA; Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Abstract:
Despite ample evidence of cerebellar contributions to cognition, including language, its precise role remains debated. We systematically characterize cerebellar language-responsive regions using precision fMRI. We identify four cerebellar regions that respond to language across modalities (experiments 1a and 1b, n = 754). One region-spanning Crus I/II/lobule VIIb-is selective for language relative to diverse non-linguistic tasks (experiments 2a-2f, n = 732), and the rest exhibit mixed selectivity. Similar to the neocortical language system, the language-selective region is engaged during comprehension and production (experiments 3a and 3b, n = 100), shows sensitivity to linguistic difficulty (experiment 3c, n = 5), and responds to both social and nonsocial sentences (experiment 3d, n = 10). Finally, all four regions, but especially Crus I/II/VIIb, are functionally connected to the neocortical language system (experiment 4, n = 85). We propose that these cerebellar regions constitute components of the extended language network, with one region closely mirroring the neocortical network and the rest plausibly integrating information from diverse neocortical regions.
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