Modeling method and topological attribute analytical method for group brain network

Abstract

The invention provides a modeling method for a group brain network. The modeling method comprises the following steps that (1), nodes of the group brain network are defined according to group brain imaging data; (2), connecting matrixes between the different nodes are calculated according to the nodes defined in the step (1) and adopted as edges; (3), a group brain network model is constructed according to the nodes defined in the step (1) and the edges defined in the step (2). Meanwhile, the invention provides a topological attribute analytical method for the group brain network. The topological attribute analytical method is achieved based on the modeling method for the group brain network. According to the modeling method and topological attribute analytical method for the group brain network, the interactive mode features of a studied group can be judged, and whether key members exist in the group or not is further analyzed. Therefore, group behaviors can be predicated by utilizing a group neural activity mode result.

Description

technical field [0001] The present invention relates to a group brain network modeling method, in particular to a graph theory-based group brain network modeling method, and also to a group brain network topology attribute analysis method based on the group brain network modeling method. Background technique [0002] Most human beings use groups as their basic way of life. From small families and work units to large nations and countries, people are always organized together in various ways, resulting in various groups. Group social behavior is usually far more complex and rich than individual social behavior, and often reflects some unique group psychological phenomena, such as group cohesion, group wisdom, group polarization and so on. [0003] In recent years, the emergence of multi-person interactive synchronous recording (hyper scanning) technology has made it possible to simultaneously observe group brain activity during the interaction process, providing a new brain ...

AI Technical Summary

Problems solved by technology

[0009] In summary, due to the fundamental difference between the group brain network and the individual brain network and two-person brain network, it is impossible to directly apply the existing modeling methods to the modeling of the group brain network. Therefore, it is necessary to develop a new A Modeling Method Applicable to Population Brain Networks

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