Evidence map›Paper›PMID 37083692›Full record

ArticleeLife2023

A task-general connectivity model reveals variation in convergence of cortical inputs to functional regions of the cerebellum.

Maedbh King, Ladan Shahshahani, Richard B Ivry, Jörn Diedrichsen

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. 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
8.1field-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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Language network disruption in patients with Lewy body diseases.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Article
  5. The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Task-Dependent Visual Topographic Connectivity in the Human Cerebellum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  11. Article
  12. The cerebellar components of the human language network.bioRxiv : the preprint server for biology · 2025
    Article
  13. Cerebellar imaging for neuroscience at 9.4 T.Magnetic resonance in medicine · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Brain network pathophysiology in dystonia.Dystonia (Lausanne, Switzerland) · 2025
    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

4 authors at 2 institutions in 2 countries.

Maedbh King *Department of Psychology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0001-5374-1011
Ladan Shahshahani *Western Institute for Neuroscience, Western University, London, Canada.ORCID 0000-0001-6189-9994
Richard B IvryDepartment of Psychology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0003-4728-5130
Jörn DiedrichsenWestern Institute for Neuroscience, Western University, London, Canada.ORCID 0000-0003-0264-8532
University of California, Berkeley · USWestern University · CA

Funding

Human Cerebellar Function in Multiple Task DomainsR35NS116883 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RICHARD IVRY · 2020 to 2026
$5.3M
NINDS NIH HHS R35 NS116883
6 · The paper itself

Abstract

While resting-state fMRI studies have provided a broad picture of the connectivity between human neocortex and cerebellum, the degree of convergence of cortical inputs onto cerebellar circuits remains unknown. Does each cerebellar region receive input from a single cortical area or convergent inputs from multiple cortical areas? Here, we use task-based fMRI data to build a range of cortico-cerebellar connectivity models, each allowing for a different degree of convergence. We compared these models by their ability to predict cerebellar activity patterns for novel Task Sets. Models that allow some degree of convergence provided the best predictions, arguing for convergence of multiple cortical inputs onto single cerebellar voxels. Importantly, the degree of convergence varied across the cerebellum with the highest convergence observed in areas linked to language, working memory, and social cognition. These findings suggest important differences in the way that functional subdivisions of the cerebellum support motor and cognitive function.

Indexed as

Brain MappingNeocortexCerebellumHumansLanguageMagnetic Resonance ImagingMemory, Short-TermNeural Pathwayscerebellumconnectivitycortical parcellationshumanmulti-domain task batteryneurosciencepredictive modelingtask-based fMRI

Identifiers

PMID37083692
PMCPMC10129326
OpenAlexW4366589792

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.