Brain function network construction method based on micro-state

A technology of brain function network and construction method, applied in the field of brain function network construction based on microstate, can solve the problem of rare microstate research, and achieve the effect of facilitating subsequent processing and analysis, reducing time cost, and high electrode density

Inactive Publication Date: 2018-09-28
TAIYUAN UNIV OF TECH
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The current research on microstates is mainly based on the transition between microstates and th

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  • Brain function network construction method based on micro-state
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  • Brain function network construction method based on micro-state

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[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] A method for constructing a brain function network based on microstates, comprising the following steps:

[0061] S1. Preprocessing the EEG signal includes:

[0062] 1) 1. Remove useless electrodes: the EEGLAB package on the matlab platform removes the four active electrodes from the original signal;

[0063] 2) Conversion of reference electrodes: use the EEGLAB package to convert the reference electrodes of the EEG raw data to the average reference el...

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Abstract

The invention relates to the technical field of brain function network research and more particularly relates to a brain function network construction method based on a micro-state. Starting from theconstruction of an EEG brain function network, according to the theory of EEG micro-state related aspects, namely that the EEG micro-state is the most basic state which reflects the brain activity, proposing that the EEG micro-state can also be applied to construction of the brain function network. The method provided by the invention solves the problem that the time consumed for construction of the traditional brain function network is too long and reduces a large quantity of redundant information in an original EEG time sequence by using the time sequence after micro-state reconstruction. Byapplying the method to an EEG data set of mental disease working memory collected in a hospital, the EEG brain function network for schizophrenia patients and normal persons is constructed; and compared with the brain function network constructed by using an original EEG signal, the brain function network constructed by the time sequence after micro-state reconstruction has the advantage that thecharacteristics of the human brain network can be more accurately reflected.

Description

technical field [0001] The present invention relates to the technical field of brain function network research, and more specifically, relates to a microstate-based brain function network construction method. Background technique [0002] As an emerging data analysis method in recent years, complex network has been applied in various fields. Since the brain is a very complex system, different neurons are interconnected to form a complex brain network, and this network has the characteristics of nonlinearity and chaos, so people gradually use complex network theory to study the brain. Generally, brain networks can be divided into structural networks and functional networks. Structural networks mainly use the brain regions as nodes and the connections between them as edges, which are common in functional magnetic resonance imaging (fMRI) networks. Functional brain networks also use brain regions as nodes, and their correlations as edges. Usually, the electroencephalography (...

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Application Information

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IPC IPC(8): A61B5/0476A61B5/0478
CPCA61B5/7203A61B5/7271A61B5/291A61B5/369
Inventor 李海芳杨鹏飞阴桂梅邓红霞姚蓉相洁郭浩
Owner TAIYUAN UNIV OF TECH
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