Evidence map›Paper›PMID 32327978›Full record

ArticleFrontiers in systems neuroscience2020

The Cerebro-Cerebellum as a Locus of Forward Model: A Review.

Hirokazu Tanaka, Takahiro Ishikawa, Jongho Lee, Shinji Kakei

Open access · goldAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% 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

90 citing papers in PubMed, 2 syntheses or guidelines pooled it, 150 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
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  6. Article
  7. Sensorimotor circuit connectivity as a candidate biomarker for responsiveness to sertraline in obsessive-compulsive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
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  9. Review
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  15. Consensus Paper: Models of Cerebellar Functions.Cerebellum (London, England) · 2026
    Review
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  17. Article
  18. Article
  19. Article
  20. Article

30 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Hirokazu TanakaJapan Advanced Institute of Science and Technology, Nomi, Japan.
Takahiro IshikawaTokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Jongho LeeKomatsu University, Komatsu, Japan.
Shinji KakeiTokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Tokyo Metropolitan Institute of Medical Science · JPJapan Advanced Institute of Science and Technology · JPKomatsu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review surveys physiological, behavioral, and morphological evidence converging to the view of the cerebro-cerebellum as loci of internal forward models. The cerebro-cerebellum, the phylogenetically newest expansion in the cerebellum, receives convergent inputs from cortical, subcortical, and spinal sources, and is thought to perform the predictive computation for both motor control, motor learning, and cognitive functions. This predictive computation is known as an internal forward model. First, we elucidate the theoretical foundations of an internal forward model and its role in motor control and motor learning within the framework of the optimal feedback control model. Then, we discuss a neural mechanism that generates various patterns of outputs from the cerebro-cerebellum. Three lines of supporting evidence for the internal-forward-model hypothesis are presented in detail. First, we provide physiological evidence that the cerebellar outputs (activities of dentate nucleus cells) are predictive for the cerebellar inputs [activities of mossy fibers (MFs)]. Second, we provide behavioral evidence that a component of movement kinematics is predictive for target motion in control subjects but lags behind a target motion in patients with cerebellar ataxia. Third, we provide morphological evidence that the cerebellar cortex and the dentate nucleus receive separate MF projections, a prerequisite for optimal estimation. Finally, we speculate that the predictive computation in the cerebro-cerebellum could be deployed to not only motor control but also to non-motor, cognitive functions. This review concludes that the predictive computation of the internal forward model is the unifying algorithmic principle for understanding diverse functions played by the cerebro-cerebellum.

Indexed as

cerebellar circuitrycerebral cortexforward modelhigher brain functionmotor functionneural networks

Identifiers

PMID32327978
PMCPMC7160920
OpenAlexW3016160163

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.