Evidence map›Paper›PMID 42457991›Full record

ArticlePediatric research2026

White matter microstructure and structural network alterations in children with global developmental delay.

Xiaona Zhu, Pu Tian, Xuerui Lv, Bingyang Bian, Yige Jie, Zhuohang Liu, Tianyi Zhao, Le Dou, Feiyong Jia, Dan Li

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Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xiaona Zhu *Department of Radiology, The First Hospital of Jilin University, Changchun, China.
Pu Tian *Department of Radiology, The First Hospital of Jilin University, Changchun, China.
Xuerui LvDepartment of Radiology, The First Hospital of Jilin University, Changchun, China.
Bingyang BianDepartment of Radiology, The First Hospital of Jilin University, Changchun, China.
Yige JieDepartment of Radiology, The First Hospital of Jilin University, Changchun, China.
Zhuohang LiuDepartment of Radiology, The First Hospital of Jilin University, Changchun, China.
Tianyi ZhaoDepartment of Radiology, The First Hospital of Jilin University, Changchun, China.
Le DouDepartment of Radiology, The First Hospital of Jilin University, Changchun, China.
Feiyong JiaDepartment of Developmental and Behavioral Pediatrics, The First Hospital of Jilin University, Changchun, China.
Dan LiDepartment of Radiology, The First Hospital of Jilin University, Changchun, China. li_d@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal developmental delay (GDD) affects approximately 1-3% of children worldwide. This study investigated alterations in white matter tract integrity and brain network connectivity in children with GDD using diffusion kurtosis imaging (DKI) and graph-theoretical analysis.

methodsThirty-five children with GDD (36-60 months) and 30 age-matched typically developing controls underwent 3.0-T MRI with DKI acquisition. The Griffiths Development Scales-Chinese were used to assess developmental quotients. White matter integrity was evaluated using tract-based spatial statistics (TBSS), and brain network connectivity was analyzed using graph-theoretical methods. The association between imaging metrics and developmental scores was explored.

resultsCompared with controls, children with GDD showed alterations at both tract and network levels. TBSS revealed widespread reductions in kurtosis metrics within callosal and long association tracts. Consistent with these tract findings, graph-theoretical analysis showed lower nodal efficiency in sensorimotor and frontoparietal-limbic regions, alongside reduced global efficiency, with no nodes showing increases. Partial correlations linked mean kurtosis in the superior longitudinal fasciculus to language, radial kurtosis in the posterior thalamic radiation to eye-hand coordination, and global efficiency to performance.

conclusionGDD is associated with disruptions of white matter microstructure and large-scale network communication, which may contribute to observed developmental impairments. IMPACT: This study combines diffusion kurtosis imaging and graph-theoretical analysis to characterize white matter microstructure and structural network organization in preschool children with global developmental delay (GDD). Children with GDD showed reduced kurtosis metrics in major white matter tracts and lower structural network efficiency compared with clinically screened comparison children. Imaging alterations were associated with domain-specific developmental quotients, including language, eye-hand coordination, and performance. These findings suggest that GDD is associated with multilevel alterations in white matter maturation and network integration, although the results should be interpreted in the context of clinical heterogeneity.

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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.