Laterality detection method of brain structure network based on module connection

Abstract

The invention discloses a laterality detection method for a brain structure network based on module connection, and the method comprises the following steps: carrying out the preprocessing of a diffusion tensor image, and carrying out the region segmentation of the preprocessed diffusion tensor image according to a selected standardized brain atlas; adopting a deterministic fiber bundle tracking algorithm; reconstructing fibers of the whole brain on the basis of tracking end conditions, and calculating the number of fiber bundles and partial anisotropy indexes of every two brain regions and the superficial area of each brain region to obtain a fiber bundle number matrix FN, a partial anisotropy index matrix FA and a brain region superficial area matrix Surface of the brain regions. Compared with a traditional laterality detection method, the laterality detection method of the brain structure network based on module connection has the advantages that the modularity and the laterality ofthe network are fused, the laterality of local network indexes of the brain can be mined more effectively and accurately, and certain help is provided for exploring a brain working mechanism.

Description

technical field [0001] The invention belongs to the field of brain structure imaging and the technical field of brain network topology analysis, and in particular relates to a bias detection method of a brain structure network based on module connections. Background technique [0002] Laterality refers to the structural and functional asymmetry of the left and right hemispheres of the brain, which originates from the embryonic period and changes with the accumulation of age, environment and experience, and is a basic feature of human brain development. Brain structural laterality mainly includes white matter volume and white matter integration. Brain lateralization refers to differences in space-time processing, language, movement, and cognitive control functions between the left and right hemispheres. Many neurological studies have revealed that regions with white matter lateralization in normal individuals are often accompanied by lateralization of brain function. For ex...

AI Technical Summary

Problems solved by technology

The traditional research on the laterality of the brain structural network mainly explores the differences in the topological structure of the left and right hemisphere networks of the brain, ignoring the laterality of the topological properties within the network module and between modules.

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