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Stability calculation method for brain dynamic function mode

A dynamic function and calculation method technology, applied in the field of brain imaging, can solve the problems of not accurately reflecting the actual functional division of the brain, signal loss, etc., and achieve the effect of avoiding the loss of useful signals and reducing the consumption of computing resources

Active Publication Date: 2019-10-11
INST OF PSYCHOLOGY CHINESE ACADEMY OF SCI
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Problems solved by technology

[0005] Therefore, in order to solve the problem that the existing signal loss caused by solving the average time signal of each brain partition can not accurately reflect the actual functional partition of the brain, the present invention provides a brain dynamic function based on the gray matter voxel-voxel method. Model Stability Calculation Method

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  • Stability calculation method for brain dynamic function mode
  • Stability calculation method for brain dynamic function mode
  • Stability calculation method for brain dynamic function mode

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[0062] The resting state fMRI data and structural image data of two groups of subjects (such as depression patients and normal control group) were collected by magnetic resonance equipment. There were 40 subjects in each group, and demographic variables such as age, gender and education level were collected. match on. The purpose of the study is to analyze and compare the differences in brain function stability between patients with depression and normal controls. The fMRI data were acquired while the individual was at rest, with a scan duration of 6 minutes and a TR of 1 second.

[0063] (1) First, use SPM12 or DPABI and other MATLAB-based toolkits to perform conventional resting-state brain function data preprocessing on fMRI data. Subjects with poor functional image quality and excessive head movement were excluded. Calculate the average image of the gray matter volume images of the remaining subjects in the two groups, and use 0.2 as the threshold to extract voxels with ...

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Abstract

The invention discloses a stability calculation method for a brain dynamic function mode. The method comprises the following steps of acquiring and preprocessing functional magnetic resonance imagingdata and structural magnetic resonance imaging data of a subject; extracting grey matter voxel with volume of brain grey matter being greater than 0.2 as a mask for subsequent calculation; calculatinga two-dimensional matrix of dynamic function connection between each gray voxel and other gray voxels of the whole brain under each time window by adopting a sliding time window method; calculating the obtained two-dimensional matrix of each gray voxel by taking a time window as a scorer to obtain a Kendall harmony coefficient of the two-dimensional matrix as a functional stability value of the gray voxel; calculating the tested whole-brain gray voxels one by one to obtain functional stability values of all the gray voxels; performing Z-score standardization of functional stability values ofall gray matter voxels and forming and outputting the brain dynamic function stability of the subject. . Calculation based on gray voxels is adopted. Brain activity signals are utilized to the maximumextent, and dynamic characteristics of brain functional activities can be accurately and comprehensively described.

Description

technical field [0001] The invention belongs to the technical field of brain imaging, and in particular relates to a method for calculating the stability of brain dynamic function patterns. Background technique [0002] Stability is one of the important properties of brain functional activity. The brain's ability to generate stable representations of information through a wide range of neural activity and connections is key to its efficient functioning. Although many studies in recent years have investigated the dynamic characteristics of the brain's functional organization model, there is still a lack of research describing the stability of its functional organization model, especially the functional stability of each brain region. The reason is that there are currently no suitable algorithms and tools to investigate functional stability indicators at the voxel level. [0003] Existing studies have used brain functional imaging techniques to examine the flexibility and va...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G06T7/00
CPCG06T17/00G06T7/0012G06T2207/10088G06T2207/30016
Inventor 严超赣李乐鲁彬
Owner INST OF PSYCHOLOGY CHINESE ACADEMY OF SCI
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