Evidence map›Paper›PMID 41661363›Full record

ReviewCerebellum (London, England)2026

Consensus Paper: Models of Cerebellar Functions.

Shinji Kakei, Andreea C Bostan, Timothy J Ebner, Mohammad Amin Fakharian, Hiroaki Gomi, Xavier Guell, Marie Hemelt, Huu Hoang, Court Hull, Masato Inoue and 17 more

Abstract readConsensus StatementReview
In one paragraph

Review in Cerebellum (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

27 authors.

Shinji KakeiDepartment of Anatomy and Physiology, Jissen Women's University, Tokyo, 191-8510, Japan. kakei-shinji@jissen.ac.jp.
Andreea C BostanDepartment of Neurobiology, Systems Neuroscience Center, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Timothy J EbnerDepartment of Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA.
Mohammad Amin FakharianLaboratory for Computational Motor Control, Dept. of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Hiroaki GomiNTT Communication Science Laboratories, Atsugi, Japan.
Xavier GuellDepartment of Neurology, New York University, New York, NY, USA.
Marie HemeltDuke University, Durham, NC, USA.
Huu HoangATR Neural Information Analysis Laboratories, Seika, Japan.
Court HullDuke University, Durham, NC, USA.
Masato InoueDynamic Brain Network Laboratory, Graduate School of Frontier Biosciences, the University of Osaka, Osaka, Japan.
Takahiro IshikawaHigher Brain Function Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, 156-8506, Japan.
Masashi KamedaDepartment of Physiology, Hokkaido University School of Medicine, Sapporo, 060-8638, Japan.
Mitsuo KawatoATR Computational Neuroscience Laboratories, Seika, Japan.
Shigeru KitazawaDynamic Brain Network Laboratory, Graduate School of Frontier Biosciences, the University of Osaka, Osaka, Japan.
Mario MantoService de Neurologie, Médiathèque Jean Jacquy, CHU-Charleroi, 6000, Charleroi, Belgium.
Javier F MedinaDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Hiroshi MitomaDepartment of Medical Education, Tokyo Medical University, Tokyo, 160-8402, Japan.
Keiko OhmaeBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Shogo OhmaeBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Ken-Ichi OkadaDepartment of Physiology, Hokkaido University School of Medicine, Sapporo, 060-8638, Japan.
Laurentiu S PopaDepartment of Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA.
Jeremy D SchmahmannAtaxia Center, Division of Behavioral Neurology, Laboratory for Neuroanatomy and Cerebellar Neurobiology, and, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Reza ShadmehrLaboratory for Computational Motor Control, Dept. of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Peter L StrickThomas Detre Professor & Chair of Neurobiology, Director, Systems Neuroscience Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA.
Hirokazu TanakaFaculty of Information Technology, Tokyo City University, Tokyo, 158-8557, Japan.
Masaki TanakaDepartment of Physiology, Hokkaido University School of Medicine, Sapporo, 060-8638, Japan.
Tadashi YamazakiThe University of Electro-Communications, Tokyo, 182-8585, Japan.

Funding

Coding and processing of error signals in inferior olivary-cerebellar networksR01MH093727 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI JAVIER F MEDINA · 2011 to 2026
$6.7M
STATE-DEPENDENT MODULATION OF CEREBELLAR FUNCTIONR01NS142192 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI JAVIER F MEDINA · 2026 to 2026
$509k
Japan Science and Technology Agency (JST) CREST Grant Number JPMJCR2433JSPS KAKENHI Grant Number 25K14517NIMH NIH HHS R01 MH093727NINDS NIH HHS R01 NS142192
6 · The paper itself

Abstract

For a long time, from the nineteenth century to most of the twentieth century, the cerebellum was thought to be an organ that regulates movement. Towards the end of the twentieth century, the brain functions associated with the cerebellum began to extend beyond motor control. Now, there is a consensus that the cerebellum is involved not only in motor functions but also in the most basic autonomic functions and the most complex cognitive and emotional functions, with a focus on predictions and internal models. A new functional model of the cerebellum is needed to explain all layers of brain functions by extending predictive computations in the cerebellum. On the other hand, the cerebellum and the basal ganglia were believed to be independent and complementary motor centers that lacked direct neural connections. For example, in neurophysiology classes in the 1980s, the characteristics of cerebellar ataxia were summarized as hyperkinetic and hypotonia, while the characteristics of Parkinson's disease (traditionally classified as "basal ganglia disorder") were summarized as hypokinetic and hypertonia, and therefore their functions were assumed at opposite poles, without interactions between the two main subcortical systems. The cerebellum and the basal ganglia were also assigned contrasting models regarding their learning mechanisms. Namely, the cerebellum was assumed to employ supervised learning with error signals, while the basal ganglia were assumed to employ reinforcement learning with reward prediction errors. However, recent neuroanatomical studies have demonstrated a number of novel connections between them, questioning their independence. Moreover, recent single-neuron recording and inactivation studies provided evidence that the cerebellum may also be involved in reinforcement learning. The cerebellum is neither independent of the basal ganglia nor exclusively specialized for supervised learning. We now need a new, general model to explain the contradiction between the known uniformity of the cerebellar cortex's structure and the newly added diversity of brain functions to which the cerebellum contributes. This consensus paper summarizes many of the seeds of such a new theory. The panel of experts (1) highlights the importance of the anatomical connectivity between cerebellar circuitry and basal ganglia, (2) points out that the anatomy of the cerebellum is unique and allows predictive computations in motor and extra-motor domains such as cognition, affect, social interactions and reward processes, (3) underlines the need to further elucidate the nature of interactions between cerebellar cortex and cerebellar nuclei to better understand cerebellar and psychiatric disorders and (4) suggests that common operations may underlie the motor and non-motor functions of the cerebellar circuitry. Cerebellar models remain a major topic of research to improve our understanding of the numerous cerebellar activities and to better understand the complexity of cerebellar disorders.

Indexed as

CerebellumModels, NeurologicalAnimalsBasal GangliaHumansAtaxiasCerebellumForward ModelKalman FilterPredictionThe Cerebellar Cognitive-Affective Syndrome

Identifiers

PMID41661363
PMCPMC12886374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.