Evidence map›Paper›PMID 39175790›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2024

No Evidence for Semantic Prediction Deficits in Individuals With Cerebellar Degeneration.

Maedbh King, Sienna Bruinsma, Richard B Ivry

Abstract read
In one paragraph

Article in Neurobiology of language (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The cerebellar components of the human language network.bioRxiv : the preprint server for biology · 2025
    Article
  3. 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

3 authors.

Maedbh KingDepartment of Psychology, University of California, Berkeley, CA, USA.ORCID https://orcid.org/0000-0001-5374-1011
Sienna BruinsmaDepartment of Psychology, University of California, Berkeley, CA, USA.ORCID https://orcid.org/0000-0003-3314-306X
Richard B IvryDepartment of Psychology, University of California, Berkeley, CA, USA.ORCID https://orcid.org/0000-0003-4728-5130

Funding

Human Cerebellar Function in Multiple Task DomainsR35NS116883 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RICHARD IVRY · 2020 to 2026
$5.3M
Embodied Decision Making: The Influence of Action Errors on Reinforcement LearningR01NS092079 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI IVRY, RICHARD · 2015 to 2019
$1.7M
Specifying the constraints on cerebellar dependent sensorimotor adaptationR01NS105839 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI IVRY, RICHARD · 2018 to 2019
$709k
NINDS NIH HHS R01 NS092079NINDS NIH HHS R01 NS105839NINDS NIH HHS R35 NS116883
6 · The paper itself

Abstract

Cerebellar involvement in language processing has received considerable attention in the neuroimaging and neuropsychology literatures. Building off the motor control literature, one account of this involvement centers on the idea of internal models. In the context of language, this hypothesis suggests that the cerebellum is essential for building semantic models that, in concert with the cerebral cortex, help anticipate or predict linguistic input. To date, supportive evidence has primarily come from neuroimaging studies showing that cerebellar activation increases in contexts in which semantic predictions are generated and violated. Taking a neuropsychological approach, we put the internal model hypothesis to the test, asking if individuals with cerebellar degeneration (

Indexed as

cerebellar degenerationcerebelluminternal modelpredictionsemantic prediction

Identifiers

PMID39175790
PMCPMC11338309

What OpenQuestion holds

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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.