Time-space characteristic analysis method for near-infrared brain imaging signals of children with autism spectrum disorder

Abstract

The present invention provides a time-space characteristic analysis method for near-infrared brain imaging signals of children with autism spectrum disorder. The time-space characteristic analysis method comprises the following steps: step one, self-preparing a brain signal acquisition annular electrode cap on a basis of a swimming cap; step two, acquiring three signals of oxygenated hemoglobin, deoxygenated hemoglobin and total hemoglobin when a testee watches cartoon by a near-infrared brain imager; step three, preprocessing obtained image data by using a program; step four, performing a time-space characteristic analysis to obtain a time-space characteristic parameter beta; and step five, carrying out statistical analysis on between-group variance of the time-space characteristic parameter beta of the children with autism spectrum disorder and normal children. The provided time-space characteristic analysis method for the near-infrared brain imaging signals of the children with theautism spectrum disorder can obtain the time-space characteristic parameter of the near-infrared brain imaging images for diagnosis of the children with the autism spectrum disorder and assist medicalworkers in completing the primary diagnosis of the children with the autism spectrum disorder.

Description

technical field [0001] The invention relates to a time-spatial feature analysis method for near-infrared brain imaging signals of children with autism spectrum disorders, and belongs to the technical field of brain image data analysis. Background technique [0002] Autism Spectrum Disorder (ASD) is a collective term for a series of neurodevelopmental disorders. Autism was first discovered and named by American doctor Kanner in 1946. According to the definition of "Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5)" published by the American Psychiatric Association (APA) in 2013, suffering from this Patients with the disorder are often characterized by impairments in social interaction and communication, narrow interests, and stereotyped behaviors, with impairment in social interaction being a core feature. [0003] Functional magnetic resonance imaging (fMRI) is widely used to study the neural mechanisms of ASD, but fMRI technology also has certai...

AI Technical Summary

Problems solved by technology

Subjects are required to keep their head still during fMRI acquisition, which is difficult for children with ASD

These factors will lead to the failure of fMRI signal acquisition

Another disadvantage of fMRI technology is its relatively poor time resolution (second level)

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