Evidence map›Paper›PMID 39735491›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2024

Age-related unstable transient states and imbalanced activation proportion of brain networks in people with autism spectrum disorder: A resting-state fMRI study using coactivation pattern analyses.

Yunge Zhang, Lin Lin, Dongyue Zhou, Yang Song, Abigail Stein, Shuqin Zhou, Huashuai Xu, Wei Zhao, Fengyu Cong, Jin Sun and 2 more

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

12 authors.

Yunge ZhangCentral Hospital of Dalian University of Technology, Dalian, China.
Lin LinSchool of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China.
Dongyue ZhouSchool of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China.
Yang SongCentral Hospital of Dalian University of Technology, Dalian, China.
Abigail SteinMcLean Imaging Center, McLean Hospital, Harvard Medical School, Belmont, MA, USA.
Shuqin ZhouMcLean Imaging Center, McLean Hospital, Harvard Medical School, Belmont, MA, USA.
Huashuai XuSchool of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China.
Wei ZhaoSchool of Software, Henan Polytechnic University, Jiaozuo, China.
Fengyu CongSchool of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China.
Jin SunDalian Woman and Children's Medical Group, Dalian, China.
Huanjie LiCentral Hospital of Dalian University of Technology, Dalian, China.
Fei DuMcLean Imaging Center, McLean Hospital, Harvard Medical School, Belmont, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The atypical static brain functions related to the executive control network (ECN), default mode network (DMN), and salience network (SN) in people with autism spectrum disorder (ASD) has been widely reported. However, their transient functions in ASD are not clear. We aim to identify transient network states (TNSs) using coactivation pattern (CAP) analysis to characterize the age-related atypical transient functions in ASD. CAP analysis was performed on a resting-state fMRI dataset (78 ASD and 78 healthy control (CON) juveniles, 54 ASD and 54 CON adults). Six TNSs were divided into the DMN-TNSs, ECN-TNSs, and SN-TNSs. The DMN-TNSs were major states with the highest stability and proportion, and the ECN-TNSs and SN-TNSs were minor states. Age-related abnormalities on spatial stability and TNS proportion were found in ASD. The spatial stability of DMN-TNSs was found increasing with age in CON, but was not found in ASD. A lower proportion of DMN-TNSs was found in ASD compared with CON of the same age, and ASD juveniles had a higher proportion of SN-TNSs while ASD adults had a higher proportion of ECN-TNSs. The abnormalities on spatial stability and TNS proportion were related to social deficits. Our results provided new evidence for atypical transient brain functions in people with ASD.

Indexed as

Autism spectrum disorderCoactivation patternDefault model networkResting-state functional MRITriple network model

Identifiers

PMID39735491
PMCPMC11674577

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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.