Evidence map›Paper›PMID 39698649›Full record

ArticleQuantitative imaging in medicine and surgery2024

Alterations in the white matter fiber tracts of preschool-aged children with autism spectrum disorder: an automated fiber quantification study.

Longlun Wang, Shuang Ding, Weixuan Qin, Yun Zhang, Bin Qin, Kaiping Huang, Helin Zheng, Jinhua Cai

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Widespread alterations in white matter microstructure in autism: A multilevel meta-analysis.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
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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

8 authors.

Longlun WangDepartment of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.
Shuang DingDepartment of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.
Weixuan QinDepartment of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.
Yun ZhangDepartment of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.
Bin QinDepartment of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.
Kaiping HuangDepartment of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.
Helin ZhengDepartment of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.
Jinhua CaiDepartment of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Little is known about the precise impaired patterns of white matter (WM) fiber tracts in preschool-aged children with autism spectrum disorder (ASD). Thus, we used diffusion tensor imaging (DTI)-based automated fiber quantification (AFQ) to explore the changes in WM fiber tracts in preschool-aged children with ASD and its correlation with the severity of clinical manifestations. Methods: A total of 43 pediatric ASD and 42 age- and sex-matched typical developing children were examined with DTI. AFQ was used to quantify 100 nodes of 16 specific WM fiber tracts. The DTI metrics, including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD), were compared between the two groups. Correlation analysis was performed to evaluate whether abnormal DTI metrics correlated with the Childhood Autism Rating Scale. Results: Compared with typical developing children, at the entire level, the ASD group exhibited a decreased FA [P=0.04 after false discovery rate (FDR) correction] and an increased MD (P=0.048 after FDR correction), and RD (P=0.024 after FDR correction) in the left inferior longitudinal fasciculus (ILF). A decreased FA (P=0.02 after FDR correction) and an increased RD (P=0.024 after FDR correction) were shown in forceps minor. An increased MD (P=0.016 after FDR correction) and RD (P=0.026 after FDR correction) were shown in the left inferior frontal-occipital fasciculus (IFOF). At the point-wise level, significantly decreased FA, and increased MD and RD were observed in the anterior part of forceps minor, left IFOF, and posterior part of left ILF in the ASD group (all P<0.05 after FDR correction). Furthermore, there was a negative correlation between FA of the posterior part of left ILF and the Childhood Autism Rating Scale within the ASD group (r=-0.475, P<0.001). Conclusions: Preschool-aged children with ASD displayed a site-specific propensity for WM fiber tract impairment, mainly in the left cerebral hemisphere. The decreased integrity for the posterior part of the left ILF may reflect the severity of autistic symptoms.

Indexed as

Autism spectrum disorder (ASD)automated fiber quantification (AFQ)diffusion tensor imaging (DTI)pediatricswhite matter (WM)

Identifiers

PMID39698649
PMCPMC11652057

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.