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Rest-state brain network construction method, device and equipment and computer storage medium

A construction method and brain network technology, applied in the field of resting state brain network construction methods, devices, equipment, and computer storage media, can solve the problems of low accuracy of brain network and complicated steps of brain network construction, so as to improve accuracy, The effect of simplifying the build steps

Pending Publication Date: 2020-10-09
SHENZHEN UNIV
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Problems solved by technology

[0004] The present invention provides a resting state brain network construction method, device, equipment and computer storage medium, aiming to solve the current technical problems of complex brain network construction steps and low accuracy of the constructed brain network

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  • Rest-state brain network construction method, device and equipment and computer storage medium
  • Rest-state brain network construction method, device and equipment and computer storage medium
  • Rest-state brain network construction method, device and equipment and computer storage medium

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Embodiment Construction

[0036] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] The resting state brain network construction device mainly involved in the embodiment of the present invention refers to a network connection device capable of realizing network connection, and the resting state brain network construction device may be a server, a cloud platform, or the like.

[0038] refer to figure 1 , figure 1 It is a schematic diagram of the hardware structure of the resting state brain network construction equipment involved in various embodiments of the present invention. In the embodiment of the present invention, the resting state brain network construction device may include a processor 1001 (such as a central processing unit, CPU), a communication bus 1002, an input port 1003, an output port 1004, and a memory 1005. Wherein, the communication bus 1002 is used to realize the connecti...

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Abstract

The invention discloses a rest-state brain network construction method, device and equipment, and a computer storage medium. The method comprises the steps of obtaining rest-state functional magneticresonance data corresponding to a whole brain image; determining brain network nodes in the whole brain image according to a standard brain template, and respectively determining an average time sequence of voxels corresponding to each brain network node according to the rest-state functional magnetic resonance data; calculating a distance correlation coefficient between any two brain network nodes according to the average time sequence; and determining a brain network connection edge in the whole-brain image according to the distance correlation coefficient so as to construct a brain networkaccording to the brain network node and the brain network connection edge. Therefore, the brain network is constructed by utilizing the distance correlation coefficient, the construction steps of thebrain network are simplified, and the accuracy of the brain network is improved.

Description

technical field [0001] The present invention relates to the technical field of brain networks, in particular to a resting state brain network construction method, device, equipment and computer storage medium. Background technique [0002] With the continuous attention to brain function and the continuous improvement of brain function imaging technology, the research of brain science has developed rapidly. Functional magnetic resonance imaging (fMRI) is an imaging method that uses magnetic resonance imaging to measure hemodynamic changes caused by neuronal activity. It has the advantages of non-invasiveness, no radiation exposure, and high resolution. One of the main means used to study brain function. [0003] If you want to analyze and study brain function, you need to build a brain functional network. At present, the brain function network model is basically constructed using the Pearson coefficient. However, because the Pearson coefficient has high requirements for func...

Claims

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Application Information

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IPC IPC(8): G06N3/00A61B5/00A61B5/055
CPCG06N3/004A61B5/055A61B5/0042
Inventor 刘维湘梁晓童戚玉龙成官迅
Owner SHENZHEN UNIV
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