A method for functional connectivity analysis of the brain's default network

Abstract

The invention discloses a functional connection analysis method of brain default network. Preprocess functional magnetic resonance images and select default mode brain areas; define brain areas as nodes and connections between brain areas as edges to form a default mode network containing several nodes; analyze the node degree of the default mode network , agglomeration coefficient, shortest path length, respectively apply Dijkstra algorithm and improved ant colony algorithm to calculate the average distance and Hamiltonian path distance of the default mode network, study the connection characteristics between default mode network nodes; find out the number of patients with brain diseases and Whether the default mode network of normal people has the same average distance and Hamiltonian path, determine whether the two have the same path length in the same Hamiltonian path direction. This invention explores the difference in brain function between normal people and patients with brain diseases by analyzing the functional connections of the default mode network, and has certain application value in cognitive function research, diagnosis and treatment of mental diseases, etc.

Description

technical field [0001] The invention relates to a brain default network analysis method based on medical images, in particular to a brain network functional connection analysis method, which belongs to the technical field of biomedical information processing and is a phased research achievement of the National Natural Science Foundation of China (51307010). Background technique [0002] Default mode is the state in which the brain returns to its baseline when it is not processing external tasks. The brain regions that support this function are more active under quiet conditions than under active task conditions, and these brain regions always show negative activation when subjects perform cognitive tasks. These specific brain regions with spontaneous activation, temporal synchronization and intrinsic functional connectivity are collectively referred to as the default mode network (Default Mode Network, DMN) or default network. Greicius et al. used resting-state functional c...

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Problems solved by technology

[0004] Many research methods on the default mode network of the brain are limited to medical methods, such as task-induced activation or negative activation, resting-state functional connectivity, diffusion tensor imaging, low-frequency amplitude, etc. However, using network-based analysis methods to analyze the default mode network There are relatively few literatures and patents on the study of functional connectivity, and there are even fewer literatures and patents on the functional connectivity of the default mode network.

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