Evidence map›Paper›PMID 39052097›Full record

ArticleBrain structure & function2024

Music reward sensitivity is associated with greater information transfer capacity within dorsal and motor white matter networks in musicians.

Tomas E Matthews, Massimo Lumaca, Maria A G Witek, Virginia B Penhune, Peter Vuust

Abstract read
In one paragraph

Article in Brain structure & function, 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

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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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3 · Its place in the literature

Who cites it

3 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

5 authors.

Tomas E MatthewsCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University Hospital, Nørrebrogade 44, Building 1A, Aarhus C, 8000, Denmark. toma@clin.au.dk.
Massimo LumacaCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University Hospital, Nørrebrogade 44, Building 1A, Aarhus C, 8000, Denmark.
Maria A G WitekDepartment of Music School of Languages, Art History and Music, University of Birmingham, Cultures, Birmingham, B15 2TT, UK.
Virginia B PenhuneDepartment of Psychology, Concordia University, 7141 Sherbrooke St W, Montreal, QC, H4B 1R6, Canada.
Peter VuustCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University Hospital, Nørrebrogade 44, Building 1A, Aarhus C, 8000, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are pronounced differences in the degree to which individuals experience music-induced pleasure which are linked to variations in structural connectivity between auditory and reward areas. However, previous studies exploring the link between white matter structure and music reward sensitivity (MRS) have relied on standard diffusion tensor imaging methods, which present challenges in terms of anatomical accuracy and interpretability. Further, the link between MRS and connectivity in regions outside of auditory-reward networks, as well as the role of musical training, have yet to be investigated. Therefore, we investigated the relation between MRS and structural connectivity in a large number of directly segmented and anatomically verified white matter tracts in musicians (n = 24) and non-musicians (n = 23) using state-of-the-art tract reconstruction and fixel-based analysis. Using a manual tract-of-interest approach, we additionally tested MRS-white matter associations in auditory-reward networks seen in previous studies. Within the musician group, there was a significant positive relation between MRS and fiber density and cross section in the right middle longitudinal fascicle connecting auditory and inferior parietal cortices. There were also positive relations between MRS and fiber-bundle cross-section in tracts connecting the left thalamus to the ventral precentral gyrus and connecting the right thalamus to the right supplementary motor area, however, these did not survive FDR correction. These results suggest that, within musicians, dorsal auditory and motor networks are crucial to MRS, possibly via their roles in top-down predictive processing and auditory-motor transformations.

Indexed as

Diffusion Tensor ImagingMusicRewardWhite MatterAdultAuditory PerceptionBrainBrain MappingFemaleHumansMaleNeural PathwaysYoung AdultFixel-based analysisMusical pleasureMusical trainingWhite matter structure

Identifiers

PMID39052097
PMCPMC11611946

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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.