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A meta-analysis of cerebellar contributions to higher cognition from PET and fMRI studies
Open accessAbstract
A growing interest in cerebellar function and its involvement in higher cognition have prompted much research in recent years. Cerebellar presence in a wide range of cognitive functions examined within an increasing body of neuroimaging literature has been observed. We applied a meta‐analytic approach, which employed the activation likelihood estimate method, to consolidate results of cerebellar involvement accumulated in different cognitive tasks of interest and systematically identified similarities among the studies. The current analysis included 88 neuroimaging studies demonstrating cerebellar activations in higher cognitive domains involving emotion, executive function, language, music, timing and working memory. While largely consistent with a prior meta‐analysis by Stoodley and Schmahmann ( : Neuroimage 44:489‐501), our results extended their findings to include music and timing domains to provide further insights into cerebellar involvement and elucidate its role in higher cognition. In addition, we conducted inter‐ and intradomain comparisons for the cognitive domains of emotion, language, and working memory. We also considered task differences within the domain of verbal working memory by conducting a comparison of the Sternberg with the n ‐back task, as well as an analysis of the differential components within the Sternberg task. Results showed a consistent cerebellar presence in the timing domain, providing evidence for a role in time keeping. Unique clusters identified within the domain further refine the topographic organization of the cerebellum. Hum Brain Mapp 35:593–615, 2014. © 2012 Wiley Periodicals, Inc.
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“Previous studies have shown that the Crus II and lobule VIII regions are associated with executive function, whereas lobule VIII is involved in working memory (45, 46).”
From Altered functional connectivity between the cerebellum and the cortico-striato-thalamo-cortical circuit in obsessive-compulsive disorder (2019) · cites this paper as [46]
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Metadata
- Authors
- E, K., Chen, S. A., Ho, M. R., & Desmond, J. E.
- Affiliations
- Division of Psychology School of Humanities and Social Sciences Nanyang Technological University Singapore
- Nanyang Technological University (SG)
- Johns Hopkins University (US)
- Corresponding author
- Chen, Shen‐Hsing Annabel
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2012-11-05
- Volume
- 35
- Issue
- 2
- Pages
- 593-615
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC3866223
- OpenAlex
- W2135196786
- Cited by
- 516
- References
- 133
- Citations by year
- 2026: 21 · 2025: 54 · 2024: 40 · 2023: 41 · 2022: 52 · 2021: 44 · 2020: 44 · 2019: 32 · 2018: 48 · 2017: 39 · 2016: 22 · 2015: 38 · 2014: 25 · 2013: 15 · 2012: 1
- FWCI
- 2.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Alcohol Abuse and Alcoholism (R01AA018694)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Neurology › Vestibular and auditory disorders
- Keywords
- cerebellum, higher cognition, cerebellar activation, executive function, emotions, language, timing, working memory, verbal working memory, Sternberg task, n-back task, timekeeping
- MeSH terms
- Brain Mapping, Cerebellum, Cognition, Emotions, Female, Humans, Language, Magnetic Resonance Imaging, Male, Music, Time Perception, Databases, Factual, Positron-Emission Tomography, Executive Function
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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