Brain nucleus Granger causal analysis method based on obesity model Prader-Willi syndrome (PWS)

An obesity model and causal analysis technology, which is applied in the field of medical image processing and analysis, and can solve problems such as in-depth and detailed research on mutual causality, and research on the physiological baseline level of PWS patients.

Inactive Publication Date: 2013-04-24
XIDIAN UNIV
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above literatures are only studied from the perspective of picture stimulation, and have not been studied from the internal physiological baseline level of PWS patients.
In addition, the above studies only found differences in the functions of brain nuclei through image stimulation, and did not conduct an overall study from t

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
  • Brain nucleus Granger causal analysis method based on obesity model Prader-Willi syndrome (PWS)
  • Brain nucleus Granger causal analysis method based on obesity model Prader-Willi syndrome (PWS)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The specific process of a complete Granger causality analysis method for brain nuclei based on the obesity model PWS will be described in detail below with reference to the accompanying drawings.

[0031] refer to figure 1 , the present invention comprises: data preprocessing (based on SPM5) is carried out to the data collected after magnetic resonance scanning, then adopts low-frequency amplitude slow-wave oscillation analysis to find some regions of interest, and finally uses Granger causal analysis to describe the relationship between these regions of interest causality. Specific steps are as follows:

[0032] 1. Data preprocessing and analysis stage

[0033] Step 1: Perform time difference correction on the data collected by MRI. Time difference correction is to correct the difference in acquisition time between layers in a volume, so as to ensure that each layer is obtained from the same time.

[0034] Step 2: Since the duration of the brain functional imaging e...

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 brain nucleus Granger causal analysis method based on obesity model Prader-Willi syndrome (PWS). The method comprises steps of obtaining functional magnetic resonance data through a resting state scanning method, and preprocessing data, wherein the processing comprises steps of time correction, head movement aligning, space standardization and spatial smoothing; conducting Amplitude Of Low Frequency Fluctuation (ALFF) analysis for preprocessed data, and defining regions of interest in accordance with a brain difference region of a PWS patient and a normal control group; and conducting the Granger causal analysis, selecting two regions from regions of interest, extracting time sequences of two regions, calculating the Granger causal value between two regions through a two-phase autoregression module, and conducting normalization for the Granger causal value. By the aid of the method, the abnormal drive action of amygdaloid nucleus on hypothalamus is found, the energy balance of the hypothalamus is damaged, the PWS patient overeats and is fat, the target spot is found for the clinical treatment, the iconography evidence is provided and the good research result is obtained.

Description

technical field [0001] The invention belongs to the technical field of medical image processing and analysis, relates to a Granger causal analysis method for the interaction relationship between brain nuclei of an obesity model (Prader-Willi syndrome, PWS), and can be used for pathogenic mechanisms The identification and extraction of brain targets and the description of the causal relationship between nuclei can provide imaging evidence for clinical treatment. Background technique [0002] At present, all countries in the world are facing the global problem of obesity, which is the third most threatening factor to human health after cardiovascular disease and cancer. The number of obese people in the world has exceeded 400 million (about 6% of the total population) and about 1.6 billion overweight people (about 24% of the total population). Obese people, and by the end of 2008, the number of obese people in my country has exceeded 90 million, and the number of overweight pe...

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
IPC IPC(8): A61B5/055G06T7/00
Inventor 张毅邱思友赵恒刘鹏李军田捷刘一军
Owner XIDIAN UNIV
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