Evidence map›Paper›PMID 42712662›Full record

ArticleFrontiers in neuroscience2026

Atypical development of white matter structural networks in children and adolescents with autism spectrum disorder: a graph theory study.

Min Li, Kohei Kurita, Takashi Yamada, Yide Wang, Maya Izumoto, Yoshiko Iwatani, Ikuko Mohri, Qiulu Shou, Masatoshi Yamashita, Sayo Hamatani and 15 more

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

25 authors.

Min LiDivision of Public Health, Department of Social Medicine, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Kohei KuritaUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Takashi YamadaUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Yide WangUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Maya IzumotoUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Yoshiko IwataniUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Ikuko MohriUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Qiulu ShouUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Masatoshi YamashitaUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Sayo HamataniUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Hideo MatsuzakiUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Hidehiko OkazawaBiomedical Imaging Research Center, University of Fukui, Fukui, Japan.
Tokiko YoshidaCognitive Behavioral Therapy Center, Chiba University Hospital, Chiba, Japan.
Hitomi KitagawaResearch Center for Child Mental Development, Chiba University, Chiba, Japan.
Tsuyoshi SasakiUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Koji MatsumotoDepartment of Radiology, Chiba University Hospital, Chiba, Japan.
Tomomi NaganoUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Yuko IsobeInstitute for Advanced Academic Research, Chiba University, Chiba, Japan.
Rio KamashitaResearch Center for Child Mental Development, Chiba University, Chiba, Japan.
Yusuke SudoDivision of Clinical Neuroscience, Center for Forensic Mental Health, Chiba University, Chiba, Japan.
Eiji ShimizuUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Ryo KawasakiDivision of Public Health, Department of Social Medicine, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Yoshiyuki HiranoUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Yoshifumi MizunoUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.
Kuriko Kagitani-ShimonoUnited Graduate School of Child Development, The University of Osaka, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atypical brain connectivity is considered a key neurobiological feature underlying the heterogeneous clinical manifestations of autism spectrum disorder (ASD). However, findings on brain networks in ASD are inconsistent, likely owing to the effects of developmental factors. In addition, how large-scale brain networks in ASD differ across developmental stages remains unclear. We aimed to elucidate the atypical developmental patterns of white matter (WM) structural networks in children and adolescents with ASD using a graph-theoretical approach. Methods: Diffusion/T1-weighted brain imaging data were acquired from 69 individuals with ASD (age: 6-17 years) and 71 age- and sex-matched typically developing controls. Global and nodal topological properties of WM structural networks were computed, and 28 social-related regions were examined through subnetwork and nodal analyses. Case-control comparisons of global and nodal graph metrics were conducted separately for children and adolescents. Results: The children with ASD exhibited reduced integration of the whole-brain network, reflected by increased characteristic path length and decreased global efficiency. In contrast, the adolescents with ASD showed enhanced segregation within the social-brain subnetwork, indicated by increased clustering coefficient and local efficiency. Nodal analyses revealed reduced nodal efficiency across several social-related regions (e.g., the left inferior frontal gyrus, insula, amygdala, supramarginal gyrus, bilateral superior temporal poles) in children with ASD. Conclusion: Topological disorganization in the autistic brain network varies across developmental stages, shifting from reduced global integration in childhood to enhanced segregation of social-brain circuits in adolescence. Such atypical WM structural organization may underlie the persistent social cognitive deficits observed in ASD.

Indexed as

autism spectrum disorderdevelopmental stagesdiffusion tensor imaginggraph-theoretical analysissocial brain networkswhite matter structural networks

Identifiers

PMID42712662
PMCPMC13550125

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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.