Brain Volume Analysis with T1-MRI Data in Autism Spectrum Disorder
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Abstract
Purpose: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is characterized by impaired social interactions. Early detection can prevent the progression of the disease. So far, much research has been done to better diagnose autism. Investigation of brain structure using Magnetic Resonance Imaging (MRI) provides valuable information on the evolution of the brain of patients with autism.
Materials and Methods: In this study, we equally selected T1-MRI data from 20 control subjects and 20 patients, aged under 13 years (male and female, right hand and left hand). MRI research has shown that the brain of autistic children has grown locally and globally. In this paper, for the brain volumetric evaluation of autistic patients, the MRI data was segmented and then analyzed with a statistical method, which has been investigated more generally, in both the cortical and subcortical areas.
Results: We extracted 110 cortical and subcortical brain areas. The statistical analysis show which areas are important in discriminant between ASD and healthy control groups. According to the results of MRI, an increase in overall growth is seen in the subcortical areas of the brain (amygdala and hippocampus) as well as the cerebellum, but in adults with autism, a decrease in brain volume is seen.
Conclusion: In this study, we analyze the T1-MRI data of ASD subjects for early detection of Autism disorder. Our results were shown in the 6 brain areas that have P-values under 0.005. These areas are important in the early detestation and treatment of ASD.
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| Files | ||
| Issue | Vol 8 No 1 (2021) | |
| Section | Original Article(s) | |
| DOI | https://doi.org/10.18502/fbt.v8i1.5856 | |
| Keywords | ||
| Autism Spectrum Disorder Magnetic Resonance Imaging Autism Statistical Analysis | ||
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