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Persistent homology method for detecting influence of APOE e4 genotype on default mode network

A default mode, genotype technology, applied in the field of computer vision, can solve problems such as inconsistent research results

Pending Publication Date: 2021-08-03
ZHONGBEI UNIV
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Problems solved by technology

However, this method has inconsistencies in the research results of the APOE e4 genotype

Method used

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  • Persistent homology method for detecting influence of APOE e4 genotype on default mode network
  • Persistent homology method for detecting influence of APOE e4 genotype on default mode network
  • Persistent homology method for detecting influence of APOE e4 genotype on default mode network

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Experimental program
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Embodiment

[0037] Such as figure 1 with figure 2 As shown, a persistent homology method to detect the influence of APOE e4 genotype on the default mode network, which includes the following steps:

[0038] Step 1: Process the resting-state fMRI images to prepare for further seed point selection and whole-brain network analysis, corresponding to figure 1 1 in

[0039] For this step, experimental datasets were acquired at multiple Alzheimer's Disease Neuroimaging Initiative (ADNI-2) sites using a 3.0T Philips MRI scanner. All rs-fMRI data were acquired with an echo-planar imaging (EPI) sequence with parameters including: repetition time (TR) = 3000 ms; echo time (TE) = 30 ms, flip angle = 80°; The number of slices is 48; slice thickness = 3.3 mm; voxel size = 3 mm × 3 mm × 3 mm; voxel matrix is ​​6 4 × 64; the number of time points is 140.

[0040] Using the currently widely adopted SPM8 toolbox (http: / / www.fil.ion.ucl.ac.uk / spm / ), DPARSF (http: / / www.restfmri.net) and REST (http: / / www...

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Abstract

The invention belongs to the technical field of computer vision, discloses a persistent homology method for detecting the influence of an APOE e4 genotype on a default mode network, and solves the defects of the kinetic research of the APOE e4 genotype in the existing default mode network research. Firstly, constructing an original weighted network and a multi-scale network, wherein the multi-scale brain network comprises a left brain, a right brain and a whole brain, and carrying out graph theory index analysis on the networks; secondly, analyzing the brain network by adopting an analysis method based on a persistent coherence index, and comparing with a graph theory index; and finally carrying out difference analysis on the left and right brains of the default mode network. The result shows that the persistent homology index has higher robustness and stability, is suitable for early diagnosis and prevention when any old people do not suffer from diseases, and can be applied to research in the fields of medicine, biology, genetics and the like.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and specifically relates to a persistent homology method for detecting the influence of the APOE e4 genotype on the default mode network. Background technique [0002] Vision is an important means for human beings to perceive and understand the world. Computer vision technology allows computers to acquire, process, analyze and identify images by simulating human vision to realize the understanding of the real world. The default mode network (DMN) is a major variant subnetwork in neurodegenerative diseases such as Alzheimer's disease. Recent studies have shown that the default mode network is associated with progressive brain dysfunction and is susceptible to the APOE e4 genotype. [0003] The APOE e4 genotype is the main genetic factor for the accumulation of amyloid β, which can lead to neuronal shrinkage and permanent loss of neural connections between synapses, so the study of APOE e...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16B20/20G16B40/00
CPCG16H50/20G16B20/20G16B40/00
Inventor 况立群贾嘉莹熊风光韩燮
Owner ZHONGBEI UNIV
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