Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An fMRI-based approach to model building of the vascular basis-brain connectivity and cognitive behavior

A construction method, a technique for blood vessels, applied in the field of model construction of blood vessel basis-brain connection and cognitive behavior

Active Publication Date: 2021-07-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF1 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Currently, no studies have directly linked brain function to renal oxygenation and behavioral cognition

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
  • An fMRI-based approach to model building of the vascular basis-brain connectivity and cognitive behavior
  • An fMRI-based approach to model building of the vascular basis-brain connectivity and cognitive behavior

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The technical solution of the present invention will be further described below with reference to the drawings.

[0041] Such as figure 1 As shown, a model constructing method for fmri-based vascular base-brain connection and cognitive behavior, including the following steps:

[0042] S1, pretreatment of brain function magnetic resonance data with SPM12 and NIT; including the following sub steps:

[0043] S11, remove brain function magnetic resonance data at the top five time points;

[0044] S12, perform time point correction;

[0045] S13, head dynamic correction;

[0046] S14, standardized to the MNI template;

[0047] S15, regression 24 header parameters, remove linear trend, white matter and cerebrospinal fluid signal;

[0048] S16, performing band pass filter, frequency band is 0.01-0.1 Hz;

[0049] S17, returning to the whole brain.

[0050] S2, perform functional connection gradient analysis and hierarchical function connection analysis of pre-treated brain function ...

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 fMRI-based model building method of vascular basis-brain connection and cognitive behavior, comprising the following steps: S1, preprocessing brain functional magnetic resonance data with SPM12 and NIT; S2, finding gradient analysis and Hierarchical functional connectivity difference brain regions were used as regions of interest, and the gradient values ​​and hierarchical functional connectivity values ​​corresponding to the regions of interest were extracted; S3, using the R2* value of the renal medulla to describe the state of vascular aging; S4, collecting the behavioral awareness of the subjects Scores of cognitive tests; S5, Pearson correlation analysis was performed between the functional connectivity value of the region of interest and the indicators describing vascular aging and the scores of behavioral cognitive tests; S6, the indicators of vascular aging and the scores of behavioral cognitive tests Perform Pearson correlation analysis. Based on functional magnetic resonance, the present invention constructs a model of brain aging research of vascular basis-brain connection-cognitive behavior from the perspective of hierarchical network, and provides new evidence for the understanding of brain aging functional connection mechanism.

Description

Technical field [0001] The present invention belongs to the field of image processing, and more particularly to a model construct of a vascular base-brain connection and cognitive behavior based on FMRI (functional magnetic resonance imaging). Background technique [0002] Based on Blood Oxygenation Level-Dependent, Bold Oxygenation Level-dependent, Bold Oxygenation Level-dependent, Bold Oxygenation Level-dependent, Bold Oxygen, FMRI) uses the paramagnetic properties of deoxymoglobin in the blood to assess the changes in oxygen content in the tissue. When all other measurement parameters are constant, it provides a sensitive non-invasive and repeatable approach to detect oxygen partial pressure in the organization. Depending on the principle of FMRI, FMRI is used to indirectly fluctuate from the spontaneous fluctuation of the reaction neuronal signal, but at the same time associated with oxygen metabolism and blood flow capacity, the deoxynionic protein content. Therefore, Bold-F...

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 Patents(China)
IPC IPC(8): A61B5/055A61B5/00G16H30/00G16H50/50
CPCA61B5/0042A61B5/055A61B5/4088A61B5/725A61B2576/026G16H30/00G16H50/50
Inventor 罗程李鹤纯尧德中何满西
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com