Evidence map›Paper›PMID 41641085›Full record

ArticleFrontiers in psychiatry2025

Altered white matter connectivity is linked to language abilities in children with autism spectrum disorder: An automated fiber quantification study.

Aiwen Yi, Kaiyu Huang, Yubin Hu, Shuiqun Zhang, Qingshan Huang, Yaqiong Xiao

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Article in Frontiers in psychiatry, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Aiwen YiGuangdong Women and Children Hospital, Guangzhou, China.
Kaiyu HuangDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Yubin HuFaculty of Life and Health Sciences, Shenzhen University of Advanced Technology, Shenzhen, China.
Shuiqun ZhangDepartment of Pediatrics, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qingshan HuangFoshan Clinical Medical School of Guangzhou University of Chinese Medicine, Foshan, China.
Yaqiong XiaoFaculty of Life and Health Sciences, Shenzhen University of Advanced Technology, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Recent studies using Automated Fiber Quantification (AFQ) have revealed localized white matter connectivity alterations in individuals with autism spectrum disorder (ASD), offering insights beyond traditional tract-wise Diffusion Tensor Imaging (DTI) analyses. However, the relationship between these alterations and language variability in preschool-aged children with ASD remains poorly understood. Methods: This study included 28 children with ASD and 22 typically developing (TD) peers aged 1.5-6.07 years. Using AFQ, we examined eight language-related tracts-bilateral arcuate fasciculus, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, and superior longitudinal fasciculus-at both tract-wise and point-wise levels. We analyzed the white matter alterations in metrics including fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity, and correlated these metrics with language abilities and ASD symptom severity. Results: Both groups exhibited significant lateralization patterns, though no between-group differences in lateralization were found. However, ASD and TD groups showed distinct associations between white matter lateralization and language abilities. Tract-wise comparisons revealed no significant group differences, but point-wise analyses identified localized alterations in DTI metrics within the ASD group. While these alterations showed different patterns of association with language abilities in the ASD and TD groups, the between-group comparison of these association patterns did not reach statistical significance. Additionally, DTI metrics correlated significantly with ASD symptom severity. Discussion: Our findings underscore the importance of white matter lateralization and microstructural integrity in supporting language abilities in young children with ASD. The study provides novel insights into the neuroanatomical foundations of language deficits and their association with symptom severity, highlighting the value of point-wise analyses in understanding ASD-related connectivity alterations.

Indexed as

autism spectrum disorderautomated fiber quantificationdiffusion tensor imaginglanguage deficitslanguage-related tractswhite matter connectivity

Identifiers

PMID41641085
PMCPMC12864472

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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 Socratic graph.