Image voxel and priori brain atlas division fused brain network construction method

Abstract

The invention provides an image voxel and priori brain atlas division fused brain network construction method to overcome defects of node selection methods in the conventional brain network construction method. The method comprises the following steps: preprocessing functional magnetic resonance imaging data; constructing an initial brain network based on image voxels; and constructing a final brain network based on a priori brain atlas on the basis of the initial brain network. Two node selection methods in the prior art are fused, nodes with high degree values are searched on the basis of the image voxel, the nodes are screened by a Talairach encephalic region locating software on the basis of the priori brain atlas, the screened node is taken as a center of a circle to draw a sphere with the radius of 6 millimeters, the sphere is taken as a core node of the brain network, and the final brain network is determined according to the core node and sides of the obtained brain network. By the method, a brain functional network can be comprehensively and delicately described, the core node of the network is visualized in a brain space, and a function of observing a connecting mode between encephalic regions clearly is realized.

Description

technical field [0001] The invention relates to the field of brain functional imaging and the field of brain network construction, specifically a brain network construction method that combines image voxels and prior brain atlas divisions to construct a human brain network, in order to recognize the internal working mechanism of the brain and study the brain Internal neural activity rules and major neuroscience issues provide a basis for topological images. Background technique [0002] The human brain can be regarded as a highly complex network composed of multiple neurons, neuron clusters or multiple brain regions connected to each other. This large and complex network is the physiological basis for information processing and cognitive expression in the brain. After some neuroscientists fully realized the importance of constructing the human brain network, they proposed the concept of human connectome. The human brain connectome tries to comprehensively and finely describ...

AI Technical Summary

Problems solved by technology

However, the boundary between brain regions obtained according to the anatomical structure is not easy to determine, and the number of image voxels contained in each brain region can range from a dozen to several thousand, which leads to the number of nodes in the network The segmentation method is relatively rough, and brain regions containing more voxel nodes are more likely to generate edge connections, which affects the accuracy of the final network model

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