Brain interval covariance analysis method for functional magnetic resonance data processing

A technology of functional magnetic resonance and data processing, which is applied in the field of interaction and collaborative competition between brain regions, and can solve problems such as less research

Inactive Publication Date: 2014-06-04
DALIAN LINGDONG TECH DEV
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Problems solved by technology

The experimental results are usually "the activation of fMRI scanning brain region R is higher than that of T2 in a given task T1" or simply determine which brain regions are involved in cognitive processing, but it is useful for examining the participation in cognitive pr...

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  • Brain interval covariance analysis method for functional magnetic resonance data processing
  • Brain interval covariance analysis method for functional magnetic resonance data processing
  • Brain interval covariance analysis method for functional magnetic resonance data processing

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Embodiment Construction

[0041] The experimental data comes from the First Affiliated Hospital of Dalian Medical University, which collects data of 10 Chinese people for addition and size comparison of Arabic numerals. Each person collects data for 116 seconds, and generates 58 frames of images (the first four frames are removed). After the data were processed by the SPM software package, the region of interest was delineated.

[0042] figure 1 It is the result processed by ROI-based effective connectivity analysis method. Circles 1-6 on the left represent the six interest areas of the left brain, which are area of ​​interest 1 (Brodmann area[BA]19 / 37), area of ​​interest 2 (BA39 / 40), area of ​​interest 3 (BA40) , ROI 4 (BA6), ROI 5 (BA6 / 8 / 9), ROI 6 (BA44 / 45), and 1-6 on the right are brain areas that are symmetrical to the ROI of the left hemisphere. Numbers connecting lines between circles indicate correlations between brain regions.

[0043] From figure 1 The correlation between regions of in...

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Abstract

The invention discloses a brain interval covariance analysis method for functional magnetic resonance data processing. The method includes the following steps that preprocessing is carried out, wherein individual differences are eliminated firstly to obtain statistical parameter images; then regions of interest are designated according to the images; registration and standardization are carried out on brain mappings by means of an SPM software package; according to experimental design, an estimation model is appointed, so that a statistical result is obtained; according to distributed situations of activated brain intervals, precise anatomic sites of the activated regions are found out, and the regions of interest are designated; effective connection analysis based on the regions of interest is carried out, wherein a function regulation model of a correlation analysis of a brain loop is established through correlation analysis of signal values. Specifically, the relation among the regions of interest is found out through comparison changes, relative to control, of tasks of different regions of interest. Interdependency among the brain intervals can be dynamically reflected in the process of performing the tasks through time covariance analysis and time dependence connection dynamic analysis.

Description

technical field [0001] The present invention relates to the technique of interaction and synergetic competition between brain regions, in particular to a method for covariance analysis between brain regions based on internal conditions. Background technique [0002] Since the early 1990s, with the continuous maturity and development of new technologies for brain functional imaging, more and more scientists and laboratories around the world have begun to use functional magnetic resonance imaging (fMRI) technology to study advanced brain functions. neural activity. Functional magnetic resonance imaging of the brain is mainly based on the principle of contrast enhancement of blood flow and blood oxygen level dependence (BOLD Oxygenation-Level Dependent, BOLD). A study of functional activity. With high spatial resolution and the potential to further improve temporal resolution, it is very suitable for the spatiotemporal analysis of neural activity and the study of advanced bra...

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Application Information

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IPC IPC(8): G06F19/00G06T7/00
Inventor 刘文宇
Owner DALIAN LINGDONG TECH DEV
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