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Recently, through interdisciplinary cooperation, the team led by Prof. Li Kaiyun from the School of Education and psychology and the team led by Prof. Chen Yuehui from Information Science and Engineering have achieved significant progress in the research field of interbrain neural synchronization in autistic children. Their relevant research paper, titled "The intentional and spontaneous social motor synchrony of pre-school autistic children: Evidence from fNIRS hyperscanning and machine learning," has been successfully published in Journal of Child Psychology and Psychiatry¡ªa top Q1 journal indexed by both SCI and SSCI. This publication injects interdisciplinary innovative vitality into autism research. As a flagship journal in the global field of developmental psychology, it ranks 6th among 91 developmental psychology journals and is a top journal in the medical category, placing 13th among 277 psychiatry journals. Prof. Li Kaiyun and Prof. Chen Yuehui serve as co-corresponding authors of the paper, while Prof. Li Kaiyun, graduate students Zheng Caiyan and Yang Yue are co-first authors. Prof. Su Shuhua, Associate Prof. Jia Fanlu from School of Education and psychology, and Dr. Zhao Ya'ou from Information Science and Engineering also participated in the research.

Social motor synchrony is a core foundation of children's social interaction and a key indicator of early development, yet research findings on this phenomenon in the autistic population have long been controversial. Previous studies are mostly confined to a single disciplinary perspective, focusing on behavioral synchronization or activation analysis of individual brain regions, while neglecting the interbrain neural synchronization mechanism that underlies the interaction between two parties in social contexts. Breaking through the barriers of a single discipline, the team innovatively combined cutting-edge neuroscientific technology¡ªfunctional near-infrared spectroscopy (fNIRS) hyperscanning¡ªwith artificial intelligence machine learning methods. From the novel perspective of interbrain neural synchronization, they accurately distinguished the characteristics of intentional and spontaneous social motor synchrony in autistic children, confirming that interbrain neural synchronization indicators can serve as effective neural markers for distinguishing the autistic population. Additionally, this study represents the first application of machine learning methods to the classification of interbrain neural synchronization indicators both domestically and internationally, providing an innovative interdisciplinary approach for researching the interbrain neural mechanisms of neurodevelopmental disorders such as autism. The research results offer new neural markers for the early screening and accurate diagnosis of autism, and lay a solid foundation for the formulation of subsequent targeted intervention programs, demonstrating the value of the integration of "psychology + neuroscience + information science."

This research was jointly funded by the National Natural Science Foundation of China, National Social Science Fund of China,Shandong Provincial Social Science Planning Research Project, Youth Innovation Team of Shandong Provincial Higher Education Institutions and The Natural Science Foundation of Shandong Province. In recent years, Prof. Li Kaiyun's team has utilized fNIRS hyperscanning technology to explore the brain neural mechanisms of the autistic population, and further leveraged neuromodulation technology to investigate intervention and rehabilitation for this group, achieving a series of top research studies. In the future, the research team will continue to deepen interdisciplinary cooperation, further promote the cross-innovation of neuroscience, artificial intelligence, psychology, and special education, accelerate the transformation of scientific research achievements, and provide more targeted theoretical support and practical solutions for the social rehabilitation of autistic children, enabling interdisciplinary forces to empower special groups.

Doi: https://doi.org/10.1111/jcpp.70079

Figure 1 Experimental flowchart, brain region channel positions, and sample results of children's brain region activation in Experiment 1.

Figure 2 Experimental flowchart and sample results of children's brain region activation in Experiment 2

Figure 3 Intentional social motor synchronization results of autistic and non-autistic children in Experiment 1

Figure 4 Spontaneous social motor synchronization results of autistic and non-autistic children in Experiment 2