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A Functional Atlas of the Cerebellum Based on NeuroSynth Task Coordinates.
- Source :
-
Cerebellum (London, England) [Cerebellum] 2024 Jun; Vol. 23 (3), pp. 993-1012. Date of Electronic Publication: 2023 Aug 22. - Publication Year :
- 2024
-
Abstract
- Although the human cerebellum has a surface that is about 80% of that of the cerebral cortex and has about four times as many neurons, its functional organization is still very much uncharted. Despite recent attempts to provide resting-state and task-based parcellations of the cerebellum, these two approaches lead to large discrepancies. This article describes a comprehensive task-based functional parcellation of the human cerebellum based on a large-scale functional database, NeuroSynth, involving an unprecedented diversity of tasks, which were reliably associated with ontological key terms referring to psychological functions. Involving over 44,500 participants from this database, we present a parcellation that exhibits replicability with earlier resting-state parcellations across cerebellar and neocortical structures. The functional parcellation of the cerebellum confirms the major networks revealed in prior work, including sensorimotor, directed (dorsal) attention, divided (ventral) attention, executive control, mentalizing (default mode) networks, tiny patches of a limbic network, and also a unilateral language network (but not the visual network), and the association of these networks with underlying ontological key terms confirms their major functionality. The networks are revealed at locations that are roughly similar to prior resting-state cerebellar parcellations, although they are less symmetric and more fragmented across the two hemispheres. This functional parcellation of the human cerebellum and associated key terms can provide a useful guide in designing studies to test specific functional hypotheses and provide a reference for interpreting the results.<br /> (© 2023. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1473-4230
- Volume :
- 23
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Cerebellum (London, England)
- Publication Type :
- Academic Journal
- Accession number :
- 37608227
- Full Text :
- https://doi.org/10.1007/s12311-023-01596-4