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Children autism neurobiological marker searching method based on persistent homology

A technique for autism and biology, applied in the field of finding neurobiological markers, can solve problems such as instability and achieve high diagnostic accuracy

Pending Publication Date: 2021-08-31
SHANDONG JIANZHU UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The early diagnosis of ASD is mainly based on behavioral scales, and the diagnostic practice is also updated and changed, which is highly subjective and unstable

Method used

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  • Children autism neurobiological marker searching method based on persistent homology
  • Children autism neurobiological marker searching method based on persistent homology
  • Children autism neurobiological marker searching method based on persistent homology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] A method for finding neurobiological markers of children's autism based on persistent homology, comprising the following steps:

[0061] A. Use the resting state functional magnetic resonance data processing tool DPABI software to perform image preprocessing on the brain fMRI data in ABIDE. The process is as follows:

[0062] (1) remove the time point data with more noise in the first n;

[0063] n=10. When the subject enters the MRI scan, it will take a while for the gradient magnetic field to stabilize, and it will also take a while for the subject to adapt. Therefore, the image noise at the first few time points is more, usually choose to remove more than 4 time points, and the default is to remove the first 10 time points. indivual.

[0064] (2) Remove confounding variation caused by physiological processes (including heartbeat, head movement, and respiration); exclude brain fMRI data obtained when the subject's head movement exceeds 3mm and the rotation angle exc...

Embodiment 2

[0077] According to the method for finding a neurobiological marker of children's autism based on persistent homology described in Example 1, the difference is:

[0078] In step (6), the functional connection matrix of each pair of brain regions is calculated based on the blood oxygen level time series of the blood flow into the brain cells through MRI imaging, and the specific implementation steps include:

[0079] Select the brain area in the aal template as the vertex;

[0080] Use DPABI software to calculate the Pearson correlation coefficient (edge ​​weight) between vertices, and obtain the relationship matrix of the human brain network, including:

[0081] Calculation of mean temporal signal sequences for 90 brain regions in the AAL template And the Pearson correlation coefficient of the brain area, the Pearson correlation coefficient of the brain area is the average time signal sequence of the brain area The Pearson correlation coefficient between, the Pearson corre...

Embodiment 3

[0095] According to a kind of method for finding neurobiological markers of children's autism based on persistent homology described in embodiment 2, the difference is:

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Abstract

The invention relates to a children autism neurobiological marker searching method based on persistent homology. The method comprises the following steps of A, carrying out image preprocessing on brain fMRI (Functional Magnetic Resonance Imaging) data; B, establishing a VR-filtering model according to the functional connection relation matrix of each pair of brain regions: calculating a VR-filtering bar code by using a persistent homology method; C, converting the VR-filtering bar code into the number of FC branches of a brain network and the number of FC neural circuits of the brain network; and D, performing difference test on the number of FC neural circuits with different scale circuit lengths under different threshold values and the brain regions participating in the FC neural circuits by adopting a nonparametric test method of SPSS. According to the method, the difference characteristics of the two groups of people are investigated from the perspective of an FC neural circuit, and the larger the fMRI databases of an ASD patient group and a TD group are, the higher the diagnosis precision is.

Description

technical field [0001] The invention relates to a method for finding neurobiological markers, in particular to a method for finding neurobiological markers for children with autism based on persistent homology. Background technique [0002] Autism spectrum disorder (ASD), also known as autism, is a complex neurodevelopmental disorder. Onset usually occurs before the age of 3 years, with typical clinical features of impaired verbal communication and social interaction, a narrow range of interests, and repetitive stereotyped behaviors. According to the 2019 "Report on the Development of China's Autism Education and Rehabilitation Industry III", there are more than 10 million people with autism in China, including more than 2 million children with autism, and it is growing at a rate of nearly 200,000 per year. According to data released by the US Centers for Disease Control and Prevention (CDC), in 2018, one in 59 American children was diagnosed with autism spectrum disorder (...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/055
CPCA61B5/165A61B5/055A61B5/0042
Inventor 梁第夏省详张宪福邓伟
Owner SHANDONG JIANZHU UNIV
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