Evidence map›Paper›PMID 40785270›Full record

ArticleCNS neuroscience & therapeutics2025

Sex Differences in Functional Gradients and Dynamic Functional Connectivity in Preschool-Aged Children With ASD.

Guangrong Wu, Linfeng Song, Guomin Zhang, Yuanyuan Xu, Jie Fang, Siyan Xiong, Wei Yang, Lin Jiang

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Guangrong WuDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.ORCID 0009-0002-9399-6304
Linfeng SongDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.ORCID 0009-0001-8757-6613
Guomin ZhangDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.
Yuanyuan XuDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.
Jie FangDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.
Siyan XiongDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.
Wei YangDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.
Lin JiangDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.ORCID 0000-0003-4716-5630

Funding

Guizhou Science and Technology Plan Project Qian Ke He Jichu-ZK [2021] General 479Zunyi Science and Technology Plan Project Zun Shi Ke He HZ [2023] 491
6 · The paper itself

Abstract

backgroundThe prevalence of autism spectrum disorder (ASD) is significantly higher in males than in females; although the underlying etiology remains unclear. This study aimed to investigate the multi-scale reorganization of brain networks in preschool-aged boys with ASD and their impact on clinical symptoms.

methodsA total of 54 children with ASD (40 boys and 14 girls) and 44 typically developing (TD) children (28 boys and 16 girls), aged between 2 and 6 years, were recruited for this study. Functional gradient analysis and dynamic functional connectivity were used to examine differences in the hierarchical organization of brain functional networks between preschool-aged boys and girls with ASD compared to their corresponding typically developing peers. Subsequently, multiple machine learning models were applied to evaluate the classification performance of the identified abnormal features in distinguishing ASD from TD.

resultsThe results showed that the ASD group exhibited functional gradient abnormalities in multiple brain networks: (1) In boys with ASD, primary gradient abnormalities were identified in the dorsal attention network, limbic network, ventral attention network, and default mode network (DMN), whereas in girls with ASD, primary gradient abnormalities were only found in the DMN; (2) Secondary gradient abnormalities in boys with ASD were found in the sensorimotor network (SMN), ventral attention network, and DMN, while in girls with ASD, secondary gradient abnormalities were restricted to the DMN and SMN; (3) Third gradient abnormalities in boys with ASD were observed only in the visual network, whereas in girls with ASD, abnormalities were present in the limbic network, SMN, and visual network; (4) Enhanced dynamic functional connectivity was detected in boys with ASD only in state 1.

conclusionPreschool-aged boys and girls with ASD exhibit significant sex differences in functional gradients and dynamic functional connectivity, underscoring the complexity and heterogeneity of ASD. These findings provide a novel theoretical framework for understanding the neuroimaging mechanisms underlying ASD.

Indexed as

Autism Spectrum DisorderBrainNerve NetSex CharacteristicsChildChild, PreschoolConnectomeFemaleHumansMagnetic Resonance ImagingMaleNeural Pathwaysautism spectrum disorderbrain networksdynamic functional connectivitygradientmachine learning modelsmalepreschool‐aged

Identifiers

PMID40785270
PMCPMC12336372

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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.