Evidence map›Paper›PMID 41168693›Full record

ArticleThe journal of headache and pain2025

Abnormal structural gray matter and structural covariance networks associated with biopsychosocial characteristics in children with multisite pain.

Zusheng Cheng, Cheng Xu, Cheng Zhu, Hui Xu

Abstract read
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Article in The journal of headache and pain, 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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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zusheng Cheng *Shaoxing Seventh People's Hospital (Affiliated Mental Health Center, Medical College of Shaoxing University), Shaoxing, 312000, China.
Cheng Xu *The Affiliated Wenzhou Kangning Hospital of Wenzhou Medical University, Zhejiang Provincial Clinical Research Center for Mental Health, Wenzhou , 325005, China.
Cheng ZhuThe Affiliated Wenzhou Kangning Hospital of Wenzhou Medical University, Zhejiang Provincial Clinical Research Center for Mental Health, Wenzhou , 325005, China.
Hui XuThe Affiliated Wenzhou Kangning Hospital of Wenzhou Medical University, Zhejiang Provincial Clinical Research Center for Mental Health, Wenzhou , 325005, China. huixujx@gmail.com.ORCID http://orcid.org/0000-0003-4514-0413

Funding

Natural Science Foundation of Zhejiang Province LTGY23H180011Shaoxing Health Science and Technology Project 2023SKY076the Special Foundation for Young Scientists of Wenzhou Medical University QTJ23027
6 · The paper itself

Abstract

backgroundOverwhelming evidence suggests that adults with chronic pain have altered brain structure and related networks. However, little is currently known regarding changes in structural gray matter and structural covariance networks (SCNs) in children with multisite pain (MP) and their potential relationships with biopsychosocial characteristics.

methodsThis study enrolled 444 children with MP and 444 matched controls from the Adolescent Brain Cognitive Development Study. All participants underwent magnetic resonance imaging (MRI) scans following biopsychosocial assessment. Then, SCNs matrices were constructed by the Brain Connectivity Toolbox based on both cortical thickness (CT) and cortical surface area (CSA) among 415 children with MP and 404 controls. Nonparametric permutation tests were employed to examine the group differences in these matrices.

resultsCompared with controls, children with MP exhibited both lower CSA and CT in widespread regions involved in the pain matrix, including the anterior cingulate cortex (ACC), middle frontal gyrus (MFG), superior frontal gyrus (SFG), and anterior insula (aIns). While there were no significant group differences in global network measures, children with MP exhibited alterations in nodal network measures in brain regions including the ACC, MFG, and aIns. Besides, children with MP showed significant relationships between abnormal structural gray matter and biopsychosocial characteristics, including general somatic symptoms, conduct disorder symptoms, and sleep quality.

conclusionsChildren with MP exhibited abnormal structural gray matter and SCNs in brain regions involved in the pain matrix, which were further associated with biopsychosocial characteristics. These findings could suggest individualized treatments for children with MP, such as transcranial magnetic stimulation therapy, that focus on specific brain nodes within the pain matrix and improve related biopsychosocial characteristics.

Indexed as

Cerebral CortexChronic PainGray MatterNerve NetAdolescentChildFemaleHumansMagnetic Resonance ImagingMaleCortical surface areaCortical thicknessMultisite painPain matrixStructural covariance networks

Identifiers

PMID41168693
PMCPMC12574090

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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.