Evidence map›Paper›PMID 21181462›Full record

ReviewCerebellum (London, England)2012

Cerebellar internal models: implications for the dexterous use of tools.

Hiroshi Imamizu, Mitsuo Kawato

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cerebellum (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Neurophysiological Evidence of Sensory Prediction Errors Driving Speech Sensorimotor Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. The Cerebellum as an Embodying Machine.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Consensus Paper: Cerebellum and Social Cognition.Cerebellum (London, England) · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Feedforward and Feedback Control Share an Internal Model of the Arm's Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Hiroshi ImamizuNational Institute of Information and Communications Technology, Kyoto, Japan. imamizu@gmail.com
Mitsuo Kawato
Advanced Telecommunications Research Institute International · JPNational Institute of Information and Communications Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans have remarkable abilities in the dexterous use of tools to extend their physical capabilities. Although previous neuropsychological and functional neuroimaging studies have mainly focused on the contribution of frontal-parietal cerebral networks to skills for tool use, dense anatomical and functional connections are known to exist between the frontal-parietal regions and the lateral cerebellum, suggesting that the cerebellum also supports the information processing necessary for the dexterous use of tools. In this article, we review functional and structural imaging studies reporting that the cerebellum is related to the learning acquisition of neural mechanisms representing input-output properties of controlled objects, including tools. These studies also suggest that such mechanisms are modularly organized in the cerebellum corresponding to the different properties of objects, such as kinematic or dynamic properties and types of tools, and that they enable humans to flexibly cope with discrete changes in objects and environments by reducing interference and combining acquired modules. Based on these studies, we propose a hypothesis that the cerebellum contributes to the skillful use of tools by representing the input-output properties of tools and providing information on the prediction of the sensory consequences of manipulation with the parietal regions, which are related to multisensory processing, and information on the necessary control of tools with the premotor regions, which contribute to the control of hand movements.

Indexed as

Biomechanical PhenomenaCerebellumHumansLearningMagnetic Resonance ImagingModels, NeurologicalMotor SkillsTool Use Behavior

Identifiers

PMID21181462
OpenAlexW2108286615

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.