Alzheimer's disease brain network feature extraction method based on a continuous homology technology

A network feature and brain network technology, applied in the field of brain network analysis, can solve the problems of poor calculation accuracy, lack of accuracy of functional network, no clear selection rules, etc., and achieve the effect of reducing the computational burden.
CN109767435AActive Publication Date: 2019-05-17HARBIN ENG UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HARBIN ENG UNIV
Publication Date
2019-05-17

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Abstract

The invention discloses an Alzheimer's disease brain network feature extraction method based on a continuous coherence technology, and belongs to the technical field of brain network analysis. According to the invention, through data preprocessing, brain network division, brain network construction, continuous coherent brain network filtering flow construction, continuous interval data statisticalanalysis and Alzheimer's disease brain network feature extraction, brain network feature extraction of a patient is realized. By constructing the multi-scale brain network with the variable thresholdvalue, the threshold value selection problem in a graph theory method is avoided, wherein the continuous feature discovery mechanism of the network complex flow can effectively reduce the calculationburden, and is an effective brain network analysis technology. The continuous homology theory is applied to the field of brain analysis of patients suffering from Alzheimer's disease, the brain mechanism is researched, the brain network connection characteristics of diseases are discovered, and the method is an innovative research idea and has important significance for early diagnosis, drug development and diagnosis and treatment scheme formulation of Alzheimer's disease.
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Description

technical field

[0001] The invention belongs to the technical field of brain network analysis, and in particular relates to a feature extraction method for Alzheimer's disease brain network based on continuous coherence technology. Background technique

[0002] Alzheimer's disease (Alzheimer's disease, AD) is a common neurological disease in the elderly, which mainly affects the central nervous system in the brain of the elderly, causing degenerative changes. When patients have obvious clinical symptoms of Alzheimer's disease, most of the disease has entered the advanced stage and cannot be treated at all. Therefore, the early diagnosis and intervention of Alzheimer's disease has become the focus of most researches.

[0003] Research on the early diagnosis of Alzheimer's disease mainly focuses on the extraction of marker features, including neuropsychological features and biological features. Neuropsychological characteristics, oriented to the diagnosis of AD with clinical...

Claims

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