Evidence map›Paper›PMID 41326740›Full record

ArticleScientific reports2025

Autism spectrum disorder disrupts brain network connectivity maturation during childhood development.

Lattika Tiawongsuwan, Sumeth Klomchitcharoen, Wachiraya Chumanee, Tanchanok Tangwattanasirikun, Soracha Saksittikorn, Saharat Chawaruechai, Tirapoot Jatupornpoonsub, Yodchanan Wongsawat

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lattika TiawongsuwanBrain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Sumeth KlomchitcharoenBrain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Wachiraya ChumaneeBrain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Tanchanok TangwattanasirikunBrain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Soracha SaksittikornBrain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Saharat ChawaruechaiBrain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Tirapoot JatupornpoonsubDepartment of Prosthodontics, Faculty of Dentistry, Mahidol University, Bangkok, 10400, Thailand.
Yodchanan WongsawatBrain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand. yodchanan.won@mahidol.ac.th.

Funding

National Higher Education Science Research and Innovation Policy Council (PMU B) B42G670043
6 · The paper itself

Abstract

Understanding the developmental trajectory of autism spectrum disorder (ASD) remains a critical barrier for timely intervention in children. Here, we investigated the deficit brain maturation trajectory during childhood development in 35 ASD level 1 and 35 neurotypical children through an electroencephalography (EEG) approach. An empirical study of the potential EEG biomarkers was demonstrated in a comprehensive view of group difference and age-related group comparison using alpha power, peak alpha frequency and transfer entropy during resting. We found a significant disruption of directional brain network communication between regions in children with ASD compared to neurotypical children. Our results also suggested that the children with ASD had altered occipital alpha power and peak alpha frequency development. The present study revealed promising findings that underpinned the developmental disruption of autism spectrum disorder, which may provide a prevailing insight into the disease pathology mechanisms, paving the way for future intervention advancement.

Indexed as

Autism Spectrum DisorderBrainChild DevelopmentNerve NetChildChild, PreschoolElectroencephalographyFemaleHumansMaleAutism spectrum disorder (ASD)Developmental neuroscienceElectroencephalography (EEG)Electrophysiology biomarkersTransfer entropy (TE)

Identifiers

PMID41326740
PMCPMC12796386

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.