Journal of NeuroscienceNeurosciencePeer-reviewed journal article
Voxelwise encoding models show that cerebellar language representations are highly conceptual
Abstract
There is a growing body of research demonstrating that the cerebellum is involved in language understanding. Early theories assumed that the cerebellum is involved in low-level language processing. However, those theories are at odds with recent work demonstrating cerebellar activation during cognitive tasks. Using natural language stimuli and an encoding model framework, we performed an fMRI experiment where subjects passively listened to five hours of natural language stimuli which allowed us to analyze language processing in the cerebellum with higher precision than previous work. We used this data to fit voxelwise encoding models with five different feature spaces that span the hierarchy of language processing from acoustic input to high-level conceptual processing. Examining the prediction performance of these models on separate BOLD data shows that cerebellar responses to language are almost entirely explained by high-level conceptual language features rather than low-level acoustic or phonemic features. Additionally, we found that the cerebellum has a higher proportion of voxels that represent social semantic categories, which include "social" and "people" words, and lower representations of all other semantic categories, including "mental", "concrete", and "place" words, than cortex. This suggests that the cerebellum is representing language at a conceptual level with a preference for social information. Significance StatementRecent work has demonstrated that, beyond its typical role in motor planning, the cerebellum is implicated in a wide variety of tasks including language. However, little is known about the language representations in the cerebellum, or how those representations compare to cortex. Using voxelwise encoding models and natural language fMRI data, we demonstrate here that language representations are significantly different in the cerebellum as compared to cortex. Cerebellum language representations are almost entirely semantic, and the cerebellum contains over-representation of social semantic information as compared to cortex. These results suggest that the cerebellum is not involved in language processing per se, but cognitive processing more generally.
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 65
- FWCI
- 3.55
- Field percentile
- top 6%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The cerebellar components of the human language network
Colton Casto, Moshe Poliak, … Evelina G. Fedorenko·NeuronPeer-reviewed·Jan 22, 2026
- Language and the cerebellum: structural connectivity to the eloquent brain
Katie R. Jobson, Linda J. Hoffman, … Ingrid R. Olson·Neurobiology of LanguagePeer-reviewed·Oct 20, 2022
- Triple representation of language, working memory, social and emotion processing in the cerebellum: convergent evidence from task and seed-based resting-state fMRI analyses in a single large cohort
Xavier Guell, John D. E. Gabrieli, Jeremy Dan Schmahmann·NeuroImagePeer-reviewed·Feb 2, 2018
- The cerebellum is involved in internal and external speech error monitoring
Elin Runnqvist, Valérie Chanoine, … F.‐Xavier Alario·bioRxiv·Nov 26, 2020
- Attentional focus and emotion modulate voice recognition deficits in cerebellar stroke patients
Léonardo Ceravolo, Emma Stiennon, … Julie Péron·bioRxiv·Dec 10, 2025
- The cerebellum specializes for language even in the absence of contralateral neocortical inputs
Bangjie Wang, Greta Tuckute, … Anila M. D’Mello·bioRxiv·Sep 26, 2026