Community partition method of brain functional network

Abstract

The invention relates to a community partition method of a brain functional network, which comprises the steps of carrying out format conversion and preprocessing on a brain functional magnetic resonance image; partitioning the image into a plurality of brain regions, and extracting time sequences corresponding to different standard sub-regions; representing values of all nodes by using a group analysis result, calculating a correlation coefficient of the brain regions, using elements in a correlation coefficient matrix as initial values, and solving the weight of an element whose distance with a connection node is the minimum; defining an optimal node and the neighborhood thereof, and enabling the weight corresponding to each neighborhood node to approach to a node value; regarding to be convergence when the connection weight is stable, and acquiring the number of communities and a center point; defining a relation between the community center point and members by using a membership matrix, and determining the position of the center point; and calculating an objective function, outputting members of each community and the center point if a function value or the variation thereof is less than a threshold, otherwise, modifying the membership matrix and calculating again. Through the method provided by the invention, a space interaction mode of the brain functional network can be studied, and whether a key member exists in the network or not can be analyzed.

Description

technical field [0001] The invention relates to a brain function analysis method based on medical images, in particular to a brain function network community division method, which belongs to the technical field of biomedical information processing and is a research achievement of the National Natural Science Foundation of China (51307010). Background technique [0002] The human brain is one of the most complex systems in nature, with approximately 10 11 neurons, these huge numbers of neurons pass through about 10 15 These synapses are interconnected to form a highly complex brain nervous system. Although different neurons and different brain regions correspond to different functional specificities, even completing a very simple task requires multiple different regions of the brain to interact and connect with each other to form a network to coordinate their work. [0003] In recent years, some scientists have fully realized the importance of building a dynamic model of t...

AI Technical Summary

Problems solved by technology

However, at present, domestic and foreign patent literature rarely involves research content on the division of brain functional network communities.

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