Evidence map›Paper›PMID 39663323›Full record

ArticleJournal of autism and developmental disorders2026

Altered Temporospatial Variability of Dynamic Amplitude of Low-Frequency Fluctuation in Children with Autism Spectrum Disorder.

Xiaonan Guo, Xueting Wang, Rongjuan Zhou, Dong Cui, Junfeng Liu, Le Gao

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Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaonan GuoSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China.
Xueting WangSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China.
Rongjuan ZhouFinance Department, Maternity and Child Health Hospital of Qinhuangdao, Qinhuangdao, China.
Dong CuiSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China.
Junfeng LiuDepartment of Neurology, West China Hospital Sichuan University, Chengdu, China.
Le GaoSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China. gaole@ysu.edu.cn.

Funding

Funding Project for the Returned Overseas Chinese Scholars of Hebei Province of China C20220334Hebei Key Laboratory Project 202250701010046Hebei Natural Science Foundation H2023203007Hebei Natural Science Foundation H2024203007National Natural Science Foundation of China 62173291National Natural Science Foundation of China 62303396National Natural Science Foundation of China 82371323Science Research Project of Hebei Education Department BJK2024067Sichuan Science and Technology Program 2023NSFSC1558
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with altered brain activity. However, little is known about the integrated temporospatial variation of dynamic spontaneous brain activity in ASD. In the present study, resting-state functional magnetic resonance imaging data were analyzed for 105 ASD and 102 demographically-matched typically developmental controls (TC) children obtained from the Autism Brain Imaging Data Exchange database. Using the sliding-window approach, temporal, spatial, and temporospatial variability of dynamic amplitude of low-frequency fluctuation (tvALFF, svALFF, and tsvALFF) were calculated for each participant. Group-comparisons were further performed at global, network, and brain region levels to quantify differences between ASD and TC groups. The relationship between temporospatial dynamic amplitude of low-frequency fluctuation variation alterations and clinical symptoms of ASD was finally explored by a support vector regression model. Relative to TC, we found enhanced tvALFF in visual network (Vis), somatomotor network (SMT), and salience/ventral attention network (SVA) of ASD, and weakened tvALFF in dorsal attention network (DAN) of ASD. Besides, ASD showed decreased svALFF in Vis, SVA, and limbic network (Limbic), and increased svALFF in DAN and default mode network (DMN). Elevated tsvALFF was found in the Vis, SMT, and DMN of ASD. More importantly, the altered tsvALFF from the DMN can predict the symptom severity of ASD. These findings demonstrate altered temporospatial dynamics of the spontaneous brain activity in ASD and provide novel insights into the neural mechanism underlying ASD.

Indexed as

Autism Spectrum DisorderBrainNerve NetAdolescentBrain MappingChildFemaleHumansMagnetic Resonance ImagingMaleAmplitude of low-frequency fluctuationAutism spectrum disorderDynamicFunctional magnetic resonance imagingTemporospatial variation

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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.