Evidence map›Paper›PMID 36005832›Full record

ArticleHuman brain mapping2023

Long-term musical training induces white matter plasticity in emotion and language networks.

Li-Kai Cheng, Yu-Hsien Chiu, Ying-Chia Lin, Wei-Chi Li, Tzu-Yi Hong, Ching-Ju Yang, Chung-Heng Shih, Tzu-Chen Yeh, Wen-Yih Isaac Tseng, Hsin-Yen Yu and 2 more

Abstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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  14. Music Engagement as a Source of Cognitive Reserve.American journal of Alzheimer's disease and other dementias
    Review
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

12 authors.

Li-Kai ChengInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0001-9568-0704
Yu-Hsien ChiuInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0002-8233-4631
Ying-Chia LinCenter for Advanced Imaging Innovation and Research (CAI2R), NYU Grossman School of Medicine, New York, New York, USA.ORCID 0000-0001-7243-0980
Wei-Chi LiInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0002-4537-9291
Tzu-Yi HongInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0002-5343-0333
Ching-Ju YangInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0001-5324-8112
Chung-Heng ShihInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Tzu-Chen YehInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Wen-Yih Isaac TsengInstitute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan.ORCID 0000-0002-2314-6868
Hsin-Yen YuGraduate Institute of Arts and Humanities Education, Taipei National University of the Arts, Taipei, Taiwan.ORCID 0000-0003-1981-2984
Jen-Chuen HsiehInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0002-7568-000X
Li-Fen ChenInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0002-3819-853X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have reported that long-term musical training can affect brain functionality and induce structural alterations in the brain. Singing is a form of vocal musical expression with an unparalleled capacity for communicating emotion; however, there has been relatively little research on neuroplasticity at the network level in vocalists (i.e., noninstrumental musicians). Our objective in this study was to elucidate changes in the neural network architecture following long-term training in the musical arts. We employed a framework based on graph theory to depict the connectivity and efficiency of structural networks in the brain, based on diffusion-weighted images obtained from 35 vocalists, 27 pianists, and 33 nonmusicians. Our results revealed that musical training (both voice and piano) could enhance connectivity among emotion-related regions of the brain, such as the amygdala. We also discovered that voice training reshaped the architecture of experience-dependent networks, such as those involved in vocal motor control, sensory feedback, and language processing. It appears that vocal-related changes in areas such as the insula, paracentral lobule, supramarginal gyrus, and putamen are associated with functional segregation, multisensory integration, and enhanced network interconnectivity. These results suggest that long-term musical training can strengthen or prune white matter connectivity networks in an experience-dependent manner.

Indexed as

MusicWhite MatterBrain MappingEmotionsHumansMagnetic Resonance ImagingNeuronal Plasticitybrain asymmetryemotiongraph theorylanguagestructural connectivityvocal training

Identifiers

PMID36005832
PMCPMC9783470

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.