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

Journal: Journal of autism and developmental disorders
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Abstract

PURPOSE: Whether 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. METHODS: 42 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. RESULTS: Children 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. CONCLUSIONS: From 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.

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