Evidence map›Paper›PMID 40764652›Full record

ArticleScientific reports2025

Shared and distinct patterns of cortical morphometric inverse divergence and their association with empathy in dancers and musicians.

Yuanyuan Yu, Hui He, Ruikun Yang, Lan Yang, Yayun Liu, Dezhong Yao, Cheng Luo, Frank Polick, María Luisa Bringas Vega, Benjamin Klugah-Brown and 5 more

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

15 authors.

Yuanyuan Yu *The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Hui He *The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Ruikun YangThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Lan YangThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Yayun LiuThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Dezhong YaoThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Cheng LuoThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Frank PolickSchool of Psychology and Neuroscience, University of Glasgow, Glasgow, UK.
María Luisa Bringas VegaCuban Neuroscience Center, La Habana, Cuba.
Benjamin Klugah-BrownThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Jing LuThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Qiushui XieBeijing Dancing Academy, Beijing, China.
Lupeng YueEducation Center for Students Cultural Qualities, University of Electronic Science and Technology of China, Chengdu, China.
Mingjun DuanThe Clinical Hospital of Chengdu Brain Science Institute, Department of Psychiatry, Chengdu Mental Health Centre, The Fourth People's Hospital of Chengdu, Chengdu, China. fourhospital@163.com.
Gujing LiThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China. ligujing@uestc.edu.cn.

Funding

Chengdu Science and Technology Bureau 2024-YF05-02056-SNChina Postdoctoral Science Foundation 3480National Key R&D Plan of China, "Strategic Scientific and Technological Innovation Cooperation" Key Project 2024YFE0215100Natural Science Foundation of Sichuan Province 2023NSFSC0037, 2022NSFSC0646Sichuan Medical Association Scientific Research Project Q23045the CAMS Innovation Fund for Medical Sciences (CIFMS) No.2019-I2M-5-039the National Natural Science Foundation of China 62401124, 62201133, 82371560
6 · The paper itself

Abstract

Neuroimaging research has demonstrated that long-term dance and music training can induce structural changes in the brain. However, most previous studies have focused on isolated structural metrics, neglecting the interregional similarities across cortical areas. In this study, we applied a novel morphometric measure, Morphometric Inverse Divergence (MIND), to assess cortical structural similarity in individuals with professional dance or music training. A total of 89 participants were incorporated in the study, including 25 dancers, 24 musicians, and 40 healthy controls (HC). Our findings showed that both dancers and musicians exhibited higher MIND values compared to HC, with musicians displaying significant differences particularly in the default mode network and somatomotor network. Furthermore, MIND values between the insula and superior parietal lobule, as well as between the superior frontal gyrus and cingulate gyrus, were positively correlated with the total IRI score and the Fantasy subscale. Both shared and distinct MIND patterns were identified between dancers and musicians. Musicians exhibited greater structural similarity in auditory cortical regions, whereas dancers showed increased similarity in visual and kinesthetic areas. Importantly, only the dancer group demonstrated a significant association between MIND values and empathic imagination. These findings provide new insights into how long-term artistic training influences cortical structure and social cognitive abilities.

Indexed as

Cerebral CortexDancingEmpathyMusicAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleYoung AdultBrain plasticityBrain similarityDancerMorphometric inverse divergenceMusician

Identifiers

PMID40764652
PMCPMC12325637

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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.