Evidence map›Paper›PMID 41579328›Full record

ArticleJournal of autism and developmental disorders2026

Interpersonal Coordination Deficits in Joint Action in Pre-school Children With Autism Spectrum Disorder: Evidence From fNIRS Hyper-Scanning and Machine Learning.

Kaiyun Li, Yue Yang, Caiyan Zheng, Bang Du, Yaou Zhao, Yuehui Chen, Junqi Liu, Jiaxin Cai, Yuxi Liu, Ying Xia and 2 more

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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

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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

12 authors.

Kaiyun Li *School of Education and Psychology, University of Jinan, 250022, Jinan, China. sep_liky@ujn.edu.cn.ORCID http://orcid.org/0000-0003-0006-1420
Yue Yang *School of Education and Psychology, University of Jinan, 250022, Jinan, China.
Caiyan Zheng *School of Education and Psychology, University of Jinan, 250022, Jinan, China.
Bang DuSchool of Education and Psychology, University of Jinan, 250022, Jinan, China.
Yaou ZhaoInformation science and Engineering, University of Jinan, 250022, Jinan, China.
Yuehui ChenInformation science and Engineering, University of Jinan, 250022, Jinan, China. yhchen@ujn.edu.cn.
Junqi LiuSchool of Education and Psychology, University of Jinan, 250022, Jinan, China.
Jiaxin CaiSchool of Education and Psychology, University of Jinan, 250022, Jinan, China.
Yuxi LiuSchool of Education and Psychology, University of Jinan, 250022, Jinan, China.
Ying XiaSchool of Education and Psychology, University of Jinan, 250022, Jinan, China.
Liu ChenSchool of Education and Psychology, University of Jinan, 250022, Jinan, China.
Fanlu JiaSchool of Education and Psychology, University of Jinan, 250022, Jinan, China.

Funding

National Natural Science Foundation of China 31800913National Natural Science Foundation of China 32100856Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China 2022RW019Shandong Provincial Social Science Planning Research Project 24CSHJ02
6 · The paper itself

Abstract

purposeWhether children with autism spectrum disorder (ASD) exhibit interpersonal coordination deficits remains controversy. The study employed functional near-infrared spectroscopy (fNIRS) hyperscanning technology to investigate the performance of children with ASD in interpersonal cooperation and competition coordination tasks under dyadic gamed interaction situation.

methods42 children (21 with ASD, 21 without ASD) performed a dyadic block-building task with collaborative intention (leading condition, following condition, turn-taking condition) (Experiment 1) and a competitive intention (Experiment 2) with an experimenter. Signal brain activation and interpersonal neural synchronization (INS) were analyzed and INS values further classified by machine-learning method and computed by using the SHAP toolkit.

resultsChildren with ASD showed lower behavioral accuracy and behavioral synchrony in the tasks of the both two experiments; lower interpersonal neural synchronization(INS) in right temporoparietal junction (rTPJ)-right inferior frontal gyrus (rIFG), rTPJ-right inferior parietal lobule, and bilateral TPJ pairs in the three conditions under collaboration intention in experiment 1; and lower single-brain activation level in the right inferior parietal lobule (rIPL) under competition intention task in experiment 2. Finally, the children with and without ASD in Ex1 could be successfully discriminated against based on INS value by using Random Forest, AdaBoost, and XGBoost machine learning methods.

conclusionsFrom the interpersonal behavioral and neural synchronization, the current study demonstrated the interpersonal coordination deficits in joint action for children with ASD from cooperative and competitive intention; notably, INS is an effective neural indicator and the machine learning method provides a novel strategy for analyzing and validating INS for interpersonal coordination deficits in joint action for the population of ASD.

Indexed as

Autism spectrum disorderFNIRS hyper-scanningInterpersonal coordinationInterpersonal neural synchronizationJoint actionMachine learning

Identifiers

PMID41579328

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