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A Method for Extracting Brain Network-Specific Structures in Alzheimer's Disease and Mild Cognitive Impairment

A technology for Alzheimer's disease and mild cognitive impairment, applied in the field of AD and MCI brain network-specific structure extraction based on continuous coherent high-dimensional features, can solve the lack of accuracy of functional networks, no threshold selection rules, calculation problems such as heavy load

Active Publication Date: 2022-05-20
HARBIN ENG UNIV
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Problems solved by technology

However, this method mainly has two shortcomings: (1) There is no clear threshold selection rule, and the functional network constructed based on a single threshold lacks accuracy, especially for the brain networks of patients with different clinical states; Interconnect patterns lead to excessive computational load

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  • A Method for Extracting Brain Network-Specific Structures in Alzheimer's Disease and Mild Cognitive Impairment
  • A Method for Extracting Brain Network-Specific Structures in Alzheimer's Disease and Mild Cognitive Impairment
  • A Method for Extracting Brain Network-Specific Structures in Alzheimer's Disease and Mild Cognitive Impairment

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[0030] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0031] combine figure 1 , the present invention is realized like this:

[0032] Step 1: fMRI data preprocessing. Three groups of AD, MCI and HC test subjects (subjects) were scanned by resting state magnetic resonance, and functional magnetic resonance images (.dcm) were obtained. The obtained brain image data are processed by time layer correction, head motion correction, standardization, smoothing, etc., and covariates such as white matter, cerebrospinal fluid, and head motion parameters in the brain image are removed, and BOLD (blood oxygen level dependent) in the corresponding voxel is extracted. ) time series signal.

[0033]Step 2: Brain network construction. Select the brain region segmentation template, physically segment the whole brain map, and determine the nodes in the brain network connection. On each node after the brain r...

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Abstract

The invention discloses a method for extracting the specific structure of the brain network of Alzheimer's disease and mild cognitive impairment. Sequence extraction; step 3: construction of continuous homology model; step 4: continuous homology high-dimensional feature quantification, permutation test for statistical analysis of AD, MCI and HC three groups of Landscapes; step 5: brain network specific structure extraction; step 6: Output the result. The invention avoids the threshold selection problem in the graph theory method, and can effectively reduce the calculation burden, and is an innovative method.

Description

technical field [0001] The invention relates to a method for extracting specific structures of AD and MCI brain networks, in particular to a method for extracting specific structures of AD and MCI brain networks based on persistent coherent high-dimensional features. Background technique [0002] Alzheimer's disease (AD) causes neurodegenerative brain damage and cognitive decline. Mild cognitive impairment (MCI) is a clinical state between normal aging amnesia (Health control, HC) and AD, in which MCI has a greater probability of further aggravating the disease and leading to AD. Therefore, the study of the pathological relationship between AD, MCI and HC is of great value for the discovery of pathogenic mechanisms and drug target research, and at the same time can provide strong technical support for the research of early diagnosis and prediction of diseases. [0003] Research on the early diagnosis of Alzheimer's disease mainly focuses on the extraction of marker features...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H30/40G16H50/20G06K9/00
CPCG16H30/40G16H50/20G06F2218/08
Inventor 李金边晨源梁洪罗昊燃李延召段沛然李俞鑫闫岱孚曹骆龙江海龙
Owner HARBIN ENG UNIV
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