Structural-functional brain network bidirectional mapping model construction method and brain network bidirectional mapping model

Abstract

The invention relates to a structure-function brain network bidirectional mapping construction method and a brain network bidirectional mapping model, and the method comprises the steps: constructing a feature preprocessing module, and obtaining a brain structure network and a brain function network; constructing a structural feature extraction module and a functional feature extraction module to obtain structural features and functional features of the brain; constructing a structure classifier module and a function classifier module, and obtaining an illness state classification result based on the structure features and an illness state classification result based on the function features; constructing a structure-function bidirectional mapping network, and performing bidirectional mapping on the brain structure network and the brain function network; and training and learning the constructed structure feature extraction module, the constructed function feature extraction module, the constructed structure classifier module, the constructed function classifier module and the constructed structure-function bidirectional mapping network by using the preprocessed data sets of the brain structure network and the brain function network. And the constructed brain network model is helpful for revealing a complex relationship between a brain structure and functions.

Description

technical field [0001] The present invention relates to the field of brain network models, in particular to a method for constructing a structure-function brain network bidirectional mapping model, a brain network bidirectional mapping model, and a computer-readable storage medium. Background technique [0002] Alzheimer's disease is a common irreversible dementia, and its incidence rate will increase significantly with age, which makes the research on Alzheimer's disease imminent. In recent years, with the continuous development of science and technology, the level of human brain exploration has been increasing year by year. Effective use of these imaging technologies can assist doctors in diagnosing and understanding the causes of diseases, and provide a favorable basis for subsequent treatment. [0003] At this stage, some scholars have used brain structure data to assist in the diagnosis of Alzheimer's disease, and achieved good results. In the current research on brain...

AI Technical Summary

Problems solved by technology

However, in the current scheme, either only the structure or function is studied, ignoring the complementary relationship between structure and function, or only a one-way relationship between structure and function is considered, while possible complexities are ignored. relation

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