Evidence map›Paper›PMID 36572935›Full record

ArticleMolecular autism2022

Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder.

Xiaonan Guo, Guangjin Zhai, Junfeng Liu, Yabo Cao, Xia Zhang, Dong Cui, Le Gao

Open access · goldAbstract read
In one paragraph

Article in Molecular autism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  3. Functional Brain Asymmetry Reveals Heterogeneous Subtypes in Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026
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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

7 authors at 2 institutions in 1 country.

Xiaonan GuoSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China. guoxiaonan@ysu.edu.cn.
Guangjin ZhaiSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China.
Junfeng LiuDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yabo CaoSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China.
Xia ZhangSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China.
Dong CuiSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China.
Le GaoSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China. gaole@ysu.edu.cn.
Yanshan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks.

methodsResting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model.

resultsTwo ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. LIMITATIONS: Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity.

conclusionsThese results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD.

Indexed as

Autism Spectrum DisorderAutistic DisorderBrainBrain MappingChildHumansMagnetic Resonance ImagingMaleNeural PathwaysAutism spectrum disorderFunctional connectivityFunctional magnetic resonance imagingk-means clusteringSubtype

Identifiers

PMID36572935
PMCPMC9793594
OpenAlexW4312217885

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.