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Dynamic brain function network generation method, system and equipment

A technology of brain function network and function network, which is applied in the field of dynamic brain function network generation, can solve the problems of unclear definition of start and end time, no consideration of changes in brain function fluctuations, etc.

Active Publication Date: 2021-08-20
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI +1
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  • Application Information

AI Technical Summary

Problems solved by technology

However, this method does not have a clear definition of the start and end time of each network, and it is mostly arbitrarily selected, without considering the fluctuation of brain function in the resting state, so the accuracy of the network needs to be further improved

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  • Dynamic brain function network generation method, system and equipment
  • Dynamic brain function network generation method, system and equipment
  • Dynamic brain function network generation method, system and equipment

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Embodiment Construction

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is some embodiments of the present invention, but not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0019] Some studies have pointed out that the scalp topographic map corresponding to multi-lead EEG / MEG changes over time in an organized manner, and the scalp topographic map maintains a stable state within about 100ms, and then quickly switches to another state and remains stable. This semi-stable state is called the EEG / MEG micros...

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Abstract

The invention discloses a dynamic brain function network generation method, system and equipment, wherein the method comprises the steps of: obtaining the scalp electroencephalogram data of a tested person, and carrying out artifact removal preprocessing, so as to obtain a high-quality scalp electroencephalogram signal; based on the high-quality scalp electroencephalogram signal, obtaining a micro-state time sequence of the tested person, and for a specified micro-state, determining a closed-loop period of the specified micro-state in the micro-state time sequence; determining a resting state function network of the tested person in the closed-loop period based on the time sequence signal in the closed-loop period; and based on the plurality of resting state function networks, determining a dynamic resting state function network changing along with the micro-state time sequence in the specified micro-state period, and carrying out network topology characteristic analysis. According to the technical scheme provided by the invention, a more accurate dynamic brain function network can be generated.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method, system and equipment for generating a dynamic brain function network. Background technique [0002] The human brain is one of the most complex systems in nature. It contains hundreds of billions of neurons, and these neurons are connected to each other structurally and functionally. They coordinate with each other and work together to realize the normal physiological functions of the human body. Therefore, studying the brain from the perspective of the entire brain structure and functional network is an important means of current research in the field of brain science. With the help of structural neuroimaging imaging technology, the research on brain structure and its network has achieved remarkable results. However, brain function is very complex, and although some progress has been made in the study of brain functional networks, there are still many unknown a...

Claims

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Application Information

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IPC IPC(8): A61B5/37A61B5/374A61B5/291G06K9/62
CPCA61B5/7207A61B5/725A61B5/7267A61B2503/06G06F18/23213G06F18/241
Inventor 戴亚康刘燕汤继宏黄静彭博
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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