Evidence map›Paper›PMID 39230055›Full record

ArticleHuman brain mapping2024

Abnormal multimodal neuroimaging patterns associated with social deficits in male autism spectrum disorder.

Long Wei, Xin Xu, Yuwei Su, Min Lan, Sifeng Wang, Suyu Zhong

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

6 authors.

Long WeiSchool of Computer Science and Technology, Shandong Jianzhu University, Jinan, People's Republic of China.
Xin XuSchool of Computer Science and Technology, Shandong Jianzhu University, Jinan, People's Republic of China.
Yuwei SuSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, People's Republic of China.
Min LanSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, People's Republic of China.
Sifeng WangSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, People's Republic of China.
Suyu ZhongSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, People's Republic of China.ORCID 0000-0003-0252-3916

Funding

National Science Foundation of China 81701783New Talent Project of Beijing University of Posts and Telecommunications 2021RC40New Talent Project of Beijing University of Posts and Telecommunications 2023RC59Shandong Provincial Natural Science Foundation ZR2021MH160STI 2030-Major Projects 2021ZD0200500
6 · The paper itself

Abstract

Atypical social impairments (i.e., impaired social cognition and social communication) are vital manifestations of autism spectrum disorder (ASD) patients, and the incidence rate of ASD is significantly higher in males than in females. Characterizing the atypical brain patterns underlying social deficits of ASD is significant for understanding the pathogenesis. However, there are no robust imaging biomarkers that are specific to ASD, which may be due to neurobiological complexity and limitations of single-modality research. To describe the multimodal brain patterns related to social deficits in ASD, we highlighted the potential functional role of white matter (WM) and incorporated WM functional activity and gray matter structure into multimodal fusion. Gray matter volume (GMV) and fractional amplitude of low-frequency fluctuations of WM (WM-fALFF) were combined by fusion analysis model adopting the social behavior. Our results revealed multimodal spatial patterns associated with Social Responsiveness Scale multiple scores in ASD. Specifically, GMV exhibited a consistent brain pattern, in which salience network and limbic system were commonly identified associated with all multiple social impairments. More divergent brain patterns in WM-fALFF were explored, suggesting that WM functional activity is more sensitive to ASD's complex social impairments. Moreover, brain regions related to social impairment may be potentially interconnected across modalities. Cross-site validation established the repeatability of our results. Our research findings contribute to understanding the neural mechanisms underlying social disorders in ASD and affirm the feasibility of identifying biomarkers from functional activity in WM.

Indexed as

Autism Spectrum DisorderGray MatterMagnetic Resonance ImagingMultimodal ImagingWhite MatterAdolescentAdultBrainChildHumansMaleNeuroimagingSocial BehaviorYoung Adultautism spectrum disordermultimodal neuroimagingsocial impairments

Identifiers

PMID39230055
PMCPMC11372822

What OpenQuestion holds

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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 OpenQuestion graph.