Method for constructing effective connectivity in brain region based on nuclear magnetic resonance imaging

A magnetic resonance imaging and effective connection technology, applied in the field of image processing, can solve the problems of not considering the directionality of interaction and the inability to measure information transmission pathways in brain regions

Inactive Publication Date: 2012-02-22
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF0 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally speaking, functional connectivity measures whether there is a functional connection between different brain regions, regardless of the directionality of the interaction, so it cannot measure the transmission pathway of information between brain regions

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for constructing effective connectivity in brain region based on nuclear magnetic resonance imaging
  • Method for constructing effective connectivity in brain region based on nuclear magnetic resonance imaging
  • Method for constructing effective connectivity in brain region based on nuclear magnetic resonance imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0018] refer to figure 1 , a brain region connectivity construction method described in the present invention calculates and obtains the effective connectivity of brain regions according to the time series of regions of interest activated by the brain, and the specific implementation steps are as follows:

[0019] Step Sa: performing generalized linear model analysis on the preprocessed fMRI image data to extract brain activation regions;

[0020] In order to improve the signal-to-noise ratio of the data and eliminate the subtle differences in the brain structure of different subjects, preprocessing is required before statistical analysis of the data. Data preprocessing includes: head movement correction, image fusion be...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for constructing effective connectivity in a brain region based on nuclear magnetic resonance imaging. The method comprises the following steps of: performing generalized linear model analysis on data acquired by preprocessing a functional magnetic resonance imaging (fMRI) image, and extracting a brain activation region; selecting a region of interest according to the brain activation region, and extracting a corresponding time sequence; according to the acquired time sequence, establishing a multivariate autoregression (MVAR) model, and calculating to acquire an effective connectivity matrix; and performing single sample T inspection on the effective connectivity in the effective connectivity matrix by a substitution data method, and eliminating multi-comparison by a false discovery rate (FDR) method to acquire the remarkable effective connectivity in the brain region.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for constructing effective connectivity of brain regions based on nuclear magnetic resonance imaging. Background technique [0002] In the past ten years, the application of functional magnetic resonance imaging (fMRI) in the fields of cognitive neuroscience and clinical neuroscience has made great achievements. For the data analysis of fMRI signals, people mainly focus on two aspects: one is the positioning of brain functional areas, and the other is the analysis of brain area connections. Mapping of brain functional areas is also sometimes referred to as detection of activation areas. The goal is to find, according to certain algorithms, the activated brain regions associated with externally stimulating tasks. Sometimes further quantitative analysis is performed on the changes of the time series curves inside the activation area to study the signal changes...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 田捷白丽君张文生冯园园
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap