Function connection analysis method of brain default network

Abstract

The invention discloses a function connection analysis method of a brain default network. The method comprises the steps that a functional magnetic resonance image is pretreated, and default mode brain regions are selected; the brain regions are defined as nodes, relations among the brain regions are defined as sides, and a default mode network containing multiple nodes is constructed; the node degree, clustering coefficient and shortest path length of the default mode network are analyzed, the average distance and Hamilton path distance of the default mode network are calculated by means of a Dijkstra algorithm and an improved ant algorithm respectively, and connection characteristics of the default mode network are researched; whether the default mode network of a patient with a brain disease and the default mode network of a normal person have the same average distance and Hamilton path distance or not is found, and whether the default mode network of the patient with the brain disease and the default mode network of the normal person have the same path length in the same Hamiltonian path or not is judged. According to the function connection analysis method of the brain default network, differences of brain functions of the normal person and brain functions of the patient with the brain disease are explored by analyzing function connection of the default mode network, and a certain application value is achieved in the aspects such as cognitive function study and mental disease diagnosis and treatment.

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 (DMN) or default network. Greicius et al. used resting-state functional connectivity to analyze...

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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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