Evidence map›Paper›PMID 42007881›Full record

ArticleNeural plasticity2026

Exploring the Impact of Dance Training on the Structural Plasticity of Empathy-Related Brain Networks.

Gujing Li, Hui He, Yuanyuan Yu, Yayun Liu, María Luisa Bringas Vega, Benjamin Klugah-Brown, Frank Pollick, Jing Lu, Ling Quan, Lixue Yin and 5 more

Abstract read
In one paragraph

Article in Neural plasticity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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

15 authors.

Gujing LiSchool of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, uestc.edu.cn.ORCID https://orcid.org/0000-0003-4700-5346
Hui HeSchool of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, uestc.edu.cn.ORCID https://orcid.org/0000-0002-1918-1484
Yuanyuan YuSchool of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, uestc.edu.cn.ORCID https://orcid.org/0009-0005-7888-6504
Yayun LiuSchool of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, uestc.edu.cn.ORCID https://orcid.org/0009-0001-9853-9199
María Luisa Bringas VegaCuban Neuroscience Center, La Habana, Cuba.ORCID https://orcid.org/0000-0003-2507-1959
Benjamin Klugah-BrownSchool of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, uestc.edu.cn.ORCID https://orcid.org/0000-0002-3946-9557
Frank PollickSchool of Psychology and Neuroscience, University of Glasgow, Glasgow, UK, gla.ac.uk.ORCID https://orcid.org/0000-0002-7212-4622
Jing LuSchool of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, uestc.edu.cn.ORCID https://orcid.org/0000-0002-3519-3055
Ling QuanSchool of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, uestc.edu.cn.ORCID https://orcid.org/0009-0005-4868-1946
Lixue YinDepartment of Cardiovascular Ultrasound and Non-Invasive Cardiology, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, China, samsph.com.ORCID https://orcid.org/0009-0002-4475-0404
Li MiThe Clinical Hospital of Chengdu Brain Science Institute, Department of Psychiatry, Chengdu Mental Health Centre, The Fourth People's Hospital of Chengdu, Chengdu, China, chengdu.gov.cn.ORCID https://orcid.org/0009-0008-5643-8702
Dezhong YaoSchool of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, uestc.edu.cn.ORCID https://orcid.org/0000-0002-8042-879X
Roberto Rodriguez-LabradCuban Neuroscience Center, La Habana, Cuba.ORCID https://orcid.org/0000-0003-3193-7683
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, chengdu.gov.cn.ORCID https://orcid.org/0000-0001-9511-6812
Cheng LuoSchool of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, uestc.edu.cn.ORCID https://orcid.org/0000-0003-0524-5886

Funding

CAMS Innovation Fund for Medical Sciences (CIFMS) 2019-I2M-5-039Chengdu Science and Technology Bureau 2024-YF05-02056-SNChina Postdoctoral Science Foundation 3480National Key Research and Development Program of China 2024YFE0215100National Natural Science Foundation of China 62201133National Natural Science Foundation of China 62401124National Natural Science Foundation of China 82371560Natural Science Foundation of Sichuan Province 2022NSFSC0646Natural Science Foundation of Sichuan Province 2023NSFSC0037Sichuan Medical Association Scientific Research Project Q23045
6 · The paper itself

Abstract

Dance integrates bodily movement, rhythmic perception, and emotional expression, engaging complex sensorimotor and affective systems. However, its impact on the structural organization of empathy-related brain networks remains insufficiently understood. In this study, we adopted a data-driven approach to construct a structural empathy network based on neuroimaging data from 80 healthy university students and applied Granger causality analysis (GCA) to identify the directional impact of empathy on regional gray matter changes. Empathy ability was assessed using the interpersonal reactivity index (IRI) scale. To further examine training-induced neuroplasticity, we employed an independent sample consisting of 25 dancers and 25 musicians, alongside 40 matched controls without formal artistic experience. Inter-regional structural similarity, based on gray matter probability distributions, was calculated to capture modality-specific plasticity due to dance/music training. Compared to musicians and controls, dancers exhibited significantly higher gray matter probability distributions, which indicates enhanced structural similarity between the left superior temporal gyrus and the left precuneus, left postcentral gyrus, and right paracentral lobule. Notably, this increased structural similarity was also associated with the empathy score (r = -0.87, p < 0.05, family-wise error [FWE] corrected). These findings suggest strengthened cross-modal integration between perceptual and sensorimotor systems, potentially underpinning affective resonance. Our findings highlight the domain-specific neuroplasticity of the structural empathy network induced by dance training and provide novel insights into how embodied practices shape socio-emotional brain circuits. Chinese Clinical Trials Register: ChiCTR2200059526.

Indexed as

BrainDancingEmpathyNerve NetNeuronal PlasticityAdultFemaleGray MatterHumansMagnetic Resonance ImagingMaleYoung Adultdance trainingempathyGranger causality analysismusic trainingstructural plasticity

Identifiers

PMID42007881
PMCPMC13094407

What OpenQuestion holds

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LicenceCC BY
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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.