An analysis system for ADHD in children based on fMRI images

Abstract

The invention discloses a children ADHD analysis system based on functional nuclear magnetic resonance images, including a data acquisition module, specifically as follows, the first step is to collect the resting state functional nuclear magnetic resonance of the whole brain of large-scale normal children and ADHD children Image data; data analysis module: the details are as follows, the second step is to perform standardized signal analysis and processing procedures on these image data according to the SPM8 toolbox, the third step is to perform spectrum analysis on the image time series of 116 brain regions respectively; the fourth step The first step is to obtain the pattern classifier according to the standard forward neural network structure design technology; the fifth step is to use the test sample set to sort the classification accuracy of the obtained 116 pattern classifiers; the data judgment module: the details are as follows, the sixth step , for the subjects whose risk of suffering from ADHD needs to be assessed; the seventh step is to input the data obtained in the sixth step into the corresponding pattern classifier to obtain the corresponding classification results.

Description

technical field [0001] The invention relates to a child ADHD analysis system based on functional nuclear magnetic resonance images, which belongs to the field of medical technology. Background technique [0002] ADHD (abbreviated as ADHD), also known as Attention Deficit Hyperactivity Disorder (ADHD). It is a common abnormal behavior problem in children. These children have normal or near-normal intelligence, but have defects in learning, behavior, and emotion. The main manifestations are difficulty in concentration, narrow attention span, short attention span, and activities regardless of occasions, which are not commensurate with age and developmental level. Excessive, emotional impulsiveness, etc., often accompanied by cognitive impairment and learning difficulties. The disease starts before school and is a chronic process. The disease not only affects children's school, family and out-of-school life, but also easily leads to persistent learning difficulties, behaviora...

AI Technical Summary

Problems solved by technology

These children have normal or near-normal intelligence, but have defects in learning, behavior, and emotion. The main manifestations are difficulty in concentration, narrow attention span, short attention span, and activities regardless of occasions, which are not commensurate with age and developmental level. Excessive, emotional impulsiveness, etc., often accompanied by cognitive impairment and learning difficulties

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