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Brain structure and function coupling method based on directed graph harmonic analysis

A technique of harmonic analysis and brain structure, applied in the field of biomedical image signal processing, can solve problems such as no longer applicable

Active Publication Date: 2021-10-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, there are directed connections in brain structural connections, so the structural connection matrix is ​​an asymmetric matrix, which makes the GSP method based on real symmetric undirected Laplacian matrix no longer applicable

Method used

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  • Brain structure and function coupling method based on directed graph harmonic analysis
  • Brain structure and function coupling method based on directed graph harmonic analysis
  • Brain structure and function coupling method based on directed graph harmonic analysis

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Embodiment Construction

[0049] In order to make the purpose, technical solutions and advantages of the present invention clearer, the following technical solutions in the present invention are clearly and completely described. Obviously, the described embodiments are some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] like Figure 14 As shown, a method for coupling brain structure and function based on directed graph harmonic analysis of the present invention comprises the following steps:

[0051] Step 1. Establish a macaque cerebral cortex model, and construct an asymmetric matrix W with directed weighted brain structure connection matrix by injecting tracers in the cerebral cortex.

[0052] This embodiment collects the public data set CoCoMac( https: / / scalablebrai...

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Abstract

The invention provides a brain structure and function coupling method based on directed graph harmonic analysis, and belongs to the technical field of biomedical signal processing. The method comprises the following steps: firstly, constructing an asymmetric matrix directed weight brain structure connection matrix by utilizing cerebral cortex tracer injection tracking or structural magnetic resonance imaging diffusion tensor imaging fiber bundle probability tracking; secondly, introducing a random walk operator to convert the asymmetric directed weight brain structure connection matrix into a real symmetric Laplacian matrix, and taking a feature vector of the Laplacian matrix as a brain structure connection harmonic wave; then, decomposing the brain function signals into brain structure and function coupled (namely, low-frequency characteristic mode of the graph) and separated (namely, high-frequency characteristic mode of the graph) harmonic components through graph harmonic analysis; and finally, taking a logarithm value of a ratio of two norms of the cross-time low-frequency and high-frequency filtering signals as a brain structure separation index to describe separation and coupling of a brain structure and functions. The method of the present invention has higher adaptability.

Description

technical field [0001] The invention belongs to the technical field of biomedical graph signal processing, in particular to a method for coupling brain structure and function based on directed graph harmonic analysis. Background technique [0002] Modern neuroimaging techniques have given us unique insights into the structure and function of the brain, how it is wired, and when and where functional brain activity occurs. Brain connectivity is one of the most popular methods to study brain structure and function, which is to study the interaction between different regions in brain regions of interest (ROIs). The most widely used method in the analysis of brain functional connectivity is resting state functional magnetic resonance imaging (rsfMRI), which indirectly measures blood oxygen level-dependent (BOLD) signals. Measure brain activity. Another type of brain connectivity is structural connectivity, where brain ROIs are connected by a bundle of fibers. Fiber tracts are ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055A61B5/145A61B5/00
CPCA61B5/055A61B5/0042A61B5/14542A61B5/748A61B5/725A61B5/7257A61B2576/026A61B2503/40
Inventor 夏杰李娇陈华富廖伟
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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