Evidence map›Paper›PMID 39175786›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2024

The Cerebellum Is Sensitive to the Lexical Properties of Words During Spoken Language Comprehension.

Hannah Mechtenberg, Christopher C Heffner, Emily B Myers, Sara Guediche

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Hannah MechtenbergDepartment of Psychological Sciences, University of Connecticut, Storrs, CT, USA.ORCID https://orcid.org/0000-0003-1436-1846
Christopher C HeffnerDepartment of Communicative Sciences and Disorders, University at Buffalo, Buffalo, NY, USA.
Emily B MyersDepartment of Psychological Sciences, University of Connecticut, Storrs, CT, USA.
Sara GuedicheCollege of Science and Mathematics, Augusta University, Augusta, GA, USA.

Funding

The Role of Frontal and Temporal Brain Areas in the Perception of Phonetic Category StructureR01DC013064 · NIDCD · UNIVERSITY OF CONNECTICUT STORRS · PI MYERS, EMILY B · 2014 to 2025
$4.3M
NIDCD NIH HHS R01 DC013064
6 · The paper itself

Abstract

Over the past few decades, research into the function of the cerebellum has expanded far beyond the motor domain. A growing number of studies are probing the role of specific cerebellar subregions, such as Crus I and Crus II, in higher-order cognitive functions including receptive language processing. In the current fMRI study, we show evidence for the cerebellum's sensitivity to variation in two well-studied psycholinguistic properties of words-lexical frequency and phonological neighborhood density-during passive, continuous listening of a podcast. To determine whether, and how, activity in the cerebellum correlates with these lexical properties, we modeled each word separately using an amplitude-modulated regressor, time-locked to the onset of each word. At the group level, significant effects of both lexical properties landed in expected cerebellar subregions: Crus I and Crus II. The BOLD signal correlated with variation in each lexical property, consistent with both language-specific and domain-general mechanisms. Activation patterns at the individual level also showed that effects of phonological neighborhood and lexical frequency landed in Crus I and Crus II as the most probable sites, though there was activation seen in other lobules (especially for frequency). Although the exact cerebellar mechanisms used during speech and language processing are not yet evident, these findings highlight the cerebellum's role in word-level processing during continuous listening.

Indexed as

cerebellumcontinuous listeningfMRIlexical processingpredictionspeech perception

Identifiers

PMID39175786
PMCPMC11338305

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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.