An auxiliary analysis system based on neural activity synchronicity

By using an auxiliary analysis system based on neural activity synchronicity, the problem of stable identification and refined stratification of ASD risk in multi-person natural interaction scenarios has been solved. It has realized the quantitative assessment and risk monitoring of neural activity synchronicity in multiple people, and supports the early screening and intervention assessment of autism spectrum disorders.

CN122135951APending Publication Date: 2026-06-02SHANGHAI SHULI INTELLIGENT TECH CO LTD +1
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Patent Information

Application Number
CN202610602808.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-06
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies struggle to reliably identify and finely stratify the risk of autism spectrum disorder (ASD) in multi-person natural interaction scenarios. They lack adaptation to complex interaction structures, and in particular, insufficient signal quality control and multi-source behavioral information fusion in children's application scenarios limit their application in clinical auxiliary screening and risk warning.

Method used

This paper provides an auxiliary analysis system based on the synchronization of neural activity, including a cooperative task output module, a task execution module, a data acquisition module, an interference control module, a group neural activity synchronization calculation module, and a risk monitoring module. By synchronously collecting brain functional signals and behavioral data of multiple people, the system quantifies and calculates the synchronization of neural activity, constructs a group synchronization network structure, and realizes objective auxiliary identification and dynamic assessment of ASD risk.

Benefits of technology

It enables objective auxiliary identification and dynamic assessment of ASD risk in multi-person natural interaction scenarios, can quantitatively assess the synchronicity of neural activities of multiple people, provides risk scores and abnormal interaction characteristics for individuals and groups, and supports closed-loop optimization.

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Abstract

This application relates to an auxiliary analysis system based on neural activity synchronization, comprising: a cooperative task output module that outputs a multi-person cooperative task; a task execution module that adjusts the synchronous participation of each target object in the cooperative task within the same time window based on the multi-person cooperative task; a data acquisition module that collects brain function signals and behavioral data of each target object during the execution of the multi-person cooperative task; an interference control module that collects interference information; a group neural activity synchronization calculation module that, based on the collected brain function signals, behavioral data, and interference information of each target object, quantifies the neural activity synchronization of any two target objects during the cooperative task to obtain a neural activity synchronization index; a group synchronization index and a group synchronization network structure are obtained based on the neural activity synchronization index; and a risk monitoring module that obtains auxiliary analysis results. This system can achieve objective auxiliary identification, dynamic assessment, and closed-loop optimization of ASD risk status.
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