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Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
Published on: April 22, 2015
Interpersonal Coordination Deficits in Joint Action in Pre-school Children With Autism Spectrum Disorder: Evidence
Kaiyun Li1, Yue Yang2,3, Caiyan Zheng2,4
1School of Education and Psychology, University of Jinan, 250022, Jinan, China. sep_liky@ujn.edu.cn.
Children with autism spectrum disorder (ASD) show interpersonal coordination deficits in joint actions. Functional near-infrared spectroscopy (fNIRS) hyperscanning revealed lower behavioral and neural synchrony in ASD, with machine learning effectively identifying these differences.
Area of Science:
- Neuroscience
- Developmental Psychology
- Human-Computer Interaction
Background:
- Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by social interaction and communication challenges.
- Interpersonal coordination, crucial for joint actions, is often impaired in individuals with ASD, though empirical evidence remains debated.
Purpose of the Study:
- To investigate interpersonal coordination deficits in children with ASD during cooperative and competitive tasks.
- To utilize functional near-infrared spectroscopy (fNIRS) hyperscanning to examine neural synchrony during dyadic interactions.
Main Methods:
- 42 children (21 with ASD, 21 without) performed dyadic block-building tasks under cooperative and competitive intentions.
- fNIRS hyperscanning recorded brain activation and interpersonal neural synchronization (INS).
- Machine learning algorithms (Random Forest, AdaBoost, XGBoost) analyzed INS for group discrimination.
Main Results:
- Children with ASD exhibited lower behavioral accuracy and synchrony in both cooperative and competitive tasks.
- Reduced INS was observed in ASD children within specific brain regions (rTPJ-rIFG, rTPJ-rIPL, bilateral TPJ) during cooperation.
- Lower activation in the right inferior parietal lobule (rIPL) was noted in ASD children during competition.
Conclusions:
- The study confirms interpersonal coordination deficits in children with ASD during joint actions, encompassing both cooperative and competitive contexts.
- Interpersonal neural synchronization (INS) serves as a valid neural indicator of these deficits.
- Machine learning offers a promising approach for analyzing and validating INS in ASD research.
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