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Brain functional effective connection analyzing method

A technology of effective connection and analysis method, applied in the fields of medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as effective connection analysis error, and achieve the effect of improving accuracy and eliminating high redundancy.

Inactive Publication Date: 2011-08-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem of the effective connection between the regions of interest of brain functional magnetic resonance imaging data and EEG data by using the conditional Granger causality method in the existing brain functional imaging technology field, due to the There is a high degree of redundancy, which causes errors in effective connection analysis, and a method for effective connection analysis of brain functions is proposed

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Embodiment Construction

[0022] Below in conjunction with accompanying drawing and concrete example, the present invention will be further described:

[0023] Concrete flow process of the present invention is as figure 1 As shown, it specifically includes the following steps:

[0024] Step 1: Preprocessing the brain functional magnetic resonance imaging data and EEG data; preprocessing of brain functional magnetic resonance imaging data: first correct the spatial displacement of the brain functional magnetic resonance imaging data, and then standardize the corrected image processing, and then use the Gaussian kernel to perform spatial smoothing on the standardized processed image; preprocessing of EEG data: first normalize the EEG data, and then de-drift;

[0025] Step 2: Extract a set of time signal sets V containing at least 4 time signals from the region of interest of the preprocessed functional magnetic resonance imaging data or EEG data, and perform a generalized stationarity test on the signal...

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Abstract

The invention discloses a brain functional effective connection analyzing method, which is provided due to the fact that: in the technical field of conventional brain functional imaging, when a conditional Granger causality method is adopted to study an effective connection between interested regions of the brain functional magnetic resonance data and electroencephalogram data, errors occurring in the effective connection analysis are caused because of high redundancy existing among multiple channels of signals. The method comprehensively applies the conditional Granger causality of Yonghong Chen and principal component analysis, does not need to consider the coherence problem of estimating the same spectrum in a calculating process by conditional Granger causality, removes a negative value causality spectrum without physical meanings, eliminates the high-degree redundancy existing among multiple channels of signals, and effectively improves the accuracy of effective connection analysis.

Description

technical field [0001] The invention belongs to the field of brain function imaging, in particular to the analysis of effective connection of brain function. Background technique [0002] At present, in the field of brain functional imaging, there are many technical means to study the effective connection of brain functional magnetic resonance imaging data and EEG data, mainly including structural equation model (Structural Equation model), dynamic causal model (Dynamic Causal Model, DCM). ), Granger causality (Granger CausalityMapping, GCM), conditional Granger causality (conditional Granger CausalityMapping, cGCM). If a time series Y causes (or affects) X, then the value of X can be predicted using information about Y. The Granger causality mentioned here can be understood as predictability, that is, given two discrete time series X and Y, if the past X and Y values ​​are used to predict the current X value, it is better than the prediction of the past X value alone. Mor...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00
Inventor 陈华富李辉辉吴国榕
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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