Brain Connection Mining System Based on Literature Analysis and Functional Magnetic Resonance Image Analysis

A function and literature technology, applied in the field of brain connection mining system, can solve the problems of long connection time and low accuracy of brain function, and achieve the effect of improving operation speed, accuracy rate and operation efficiency.

Inactive Publication Date: 2016-06-29
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0013] The purpose of the present invention is to solve the problem that the dynamic causal model in cognitive neuroscience calculates the brain functional connection time is too long and the accuracy is low, and proposes a brain connection mining system and mining system based on literature analysis and functional nuclear magnetic resonance image analysis. method

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  • Brain Connection Mining System Based on Literature Analysis and Functional Magnetic Resonance Image Analysis
  • Brain Connection Mining System Based on Literature Analysis and Functional Magnetic Resonance Image Analysis
  • Brain Connection Mining System Based on Literature Analysis and Functional Magnetic Resonance Image Analysis

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Embodiment Construction

[0040] The following describes the present invention in detail with reference to the drawings and embodiments:

[0041] Such as figure 1 As shown, the mining system of the present invention includes a dynamic causal model module, an activation analysis module, a document connection analysis module, a search sub-network module, a document database, and a brain network connection database. Among them, because the dynamic causality model requires that the repetition time parameter of the image is as small as possible, at least a 1.5T fMRI machine is required to complete this use case.

[0042] As shown in step 1, in the specific implementation of this patent, the following model is used to calculate the probability of a certain point Xi in the brain being activated. Define Pr(Xi,a) as the probability of Xi being activated under the influence of activation area a, then Pr(Xi,a) is defined as follows:

[0043] Pr ( X i , a ) = e ( - d i 2 / 2 ...

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Abstract

The invention relates to a brain link mining system and method based on document analysis and functional nuclear magnetic resonance imaging analysis, and belongs to the fields of computer technologies and cognitive neuroscience technologies. The system comprises a dynamic causal model module, an activation analysis module, a document link analysis module, a seeking sub-network module, a document database and a brain network link database. The method comprises the steps of firstly, by calculating the activated probabilities of all brain coordinates in all documents, figuring out the activated probabilities of corresponding anatomical areas to obtain activated brain areas, mining modes which frequently appear in the brain areas through the association rules algorithm, calculating confidence coefficients to obtain a trusted brain function network, establishing the corresponding documents to generate a brain network database, then collecting corresponding functional nuclear magnetic resonance imaging data by utilizing a functional nuclear magnetic resonance imaging system, and verifying the actual link direction and weight numbers of a network edge by utilizing the dynamic causal model module. In this way, the problem that calculating is overlong in time and low in accuracy in the brain link analysis process is solved.

Description

Technical field [0001] The invention relates to a brain connection mining system and mining method based on document analysis and functional nuclear magnetic resonance image (fMRI) analysis, and belongs to the technical fields of computer technology and cognitive neuroscience. Background technique [0002] In cognitive neuroscience, due to the special features of its research tools, the conclusions obtained in its papers have very structured outputs. Summarizing the conclusions in different documents, it is possible to get unexpected results, which will bring a scientific leap. There are no more than two ways to summarize the conclusions of cognitive neuroscience. The first is to obtain conclusions through a large number of literatures and expert opinions. This type of analysis method is called a summary in the usual sense. Cognitive neuroscience conclusions obtained through reviews often have many shortcomings. The reason is that people who write reviews often omit some detail...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 牛振东周乾
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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