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Method for constructing brain function network with improved individual identification based on functional image data

A brain function network and image data technology, applied in the field of brain function network, can solve problems such as misleading interactions, inability to accurately reflect relationships, and overestimation of statistical correlation metrics

Inactive Publication Date: 2020-02-21
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, such calculated brain connections sometimes do not accurately reflect the relationship between these two brain regions
For example, if brain region 1 has no direct effect on brain region 2, but brain region 1 has a direct effect on brain region 3, and brain region 3 also has a direct effect on brain region 2, then the brain region 1 and The brain connection between brain area 2 may be stronger. This stronger brain connection is mediated by brain area 3, which will mislead us to understand the real interaction between brain area 1 and brain area 2.
Furthermore, for a pair of brain regions with direct connectivity, statistical correlation measures may be overestimated due to some indirect effects caused by their interactions with other brain regions

Method used

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  • Method for constructing brain function network with improved individual identification based on functional image data
  • Method for constructing brain function network with improved individual identification based on functional image data
  • Method for constructing brain function network with improved individual identification based on functional image data

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Experimental program
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Embodiment 1

[0119] figure 1 It is a flow chart of the steps of a method for constructing a brain function network with improved individual discrimination based on functional image data in the present invention. like figure 1 As shown, (a) first collect the magnetic resonance imaging data (functional magnetic resonance imaging and T1 weighted image) of the evaluation object, and provide the magnetic resonance imaging data of the evaluation object's brain in the resting state and / or task state; (b) based on the Based on the above magnetic resonance imaging data, the first brain functional network of the evaluation object is constructed, that is, the time series representing the neural activity information of each brain region is extracted from the functional magnetic resonance imaging data, and then the brain interval is calculated based on the representative time series of each brain region. functional connection, thereby constructing the first brain functional network; (c) then extractin...

Embodiment 2

[0136] The following is a specific embodiment of constructing a brain function network for improving individual discrimination by taking a specific evaluation object as an example according to the method of the present invention.

[0137] 1.1 Data processing:

[0138] We selected the data set "One-month Test-Retest Reliability and Dynamical Resting-State Study" from the Consortium for Reliability and Reproducibility public data set, in which 15 subjects were female and 15 were male, with an average age of about 24 years old . Each subject was scanned ten times over a month, every three days. We utilized the Data Processing Assistant for rs-fMRI (DPARSF). This is a data processing tool based on Statistical Parametric Mapping (SPM) and Data Processing and Analysis of Brain Imaging (DPABI). The processing process includes steps such as alignment, registration, spatial standardization, spatial resampling, spatial smoothing, regression of irrelevant variables, and temporal filte...

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Abstract

The invention discloses a method for constructing a brain function network with improved individual identification based on functional image data. The method comprises the following steps: providing magnetic resonance imaging data of an evaluation object in a brain resting state and / or a task state, based on the magnetic resonance imaging data, constructing a first brain function network of the evaluation object, in the first brain function network, extracting direct connection between brain areas, forming brain function feature vectors between all the brain areas of an evaluation object through the direct connection between the brain areas, and constructing a second brain function network of the evaluation object based on the brain function feature vectors, namely, the brain function network with the individual recognition capability improved. According to the method, the characteristics or indexes of the individual identification ability as high as possible can be obtained from limited functional magnetic resonance imaging data, brain lines are constructed based on the characteristics or indexes to describe the brain function characteristics of the individual, and valuable imagemarks are provided for diagnosis and treatment of mental diseases.

Description

technical field [0001] The invention relates to the fields of neural engineering and neuroimaging, in particular to a method for constructing a brain function network based on functional image data to improve individual discrimination. Background technique [0002] In recent years, scientists at home and abroad have conducted extensive and in-depth research on functional magnetic resonance imaging and brain functional networks based on functional magnetic resonance imaging. In the past, researchers have mainly analyzed brain functional networks at the group level, for example, studying differences between groups of sick and healthy people. However, group-level analyzes do not take into account the intrinsic structural and functional differences in the brain between individuals. More recently, several studies have found quantitative differences between individual brain tissue and the group mean estimate. To better understand individual brains, researchers are starting to ac...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10088G06T2207/30016
Inventor 靳文孙俊峰童善保
Owner SHANGHAI JIAO TONG UNIV