Title of article :
Poincare section-based biomarkers of hemispheric asymmetry applied to autism spectrum disorder
Author/Authors :
Hebrani Paria نويسنده , Ashrafzadeh Farah نويسنده , Sheikhani Ali نويسنده Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran , Sadeghi Bajestani Ghasem نويسنده Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, IR Iran , Hashemi Golpayegani Seyed Mohammad Reza نويسنده Amirkabir University of Technology
Pages :
11
From page :
3257
To page :
3267
Abstract :
Asymmetry and symmetry coexist in natural and human processes, and the interaction of asymmetric action (recursion) and symmetric opposition (sinusoidal waves) is instrumental in generating creative features. Autism Spectrum Disorder (ASD) is a disorder in which asymmetry and functionality of brain hemispheres are a ected. In this study, di erence in brain asymmetry in ASD and normal children and the e ect of voice on asymmetry are being investigated. Due to abnormal cortical voice processing in ASD, data recording is done in two situations: animation with audio (V-A) for 5 minutes and watching the animation with muted audio band (VwA). Two Indexes Divergence (D) and number of Poincare section points further from threshold (HD) as new biomarkers are being extracted. Hemispheric asymmetry in ASD children does not follow norm patterns, and H and HD indexes con rm a disorder in hemisphereʹs functionality in all statistical tests which can be globally unveiled with Poincare section and extracted information. Two remarkable features of the presented method are: data recording protocol specialized for ASD children and new practical time-series analysis for detecting episodic patterns (complexes) as hallmark of ASD dynamic and arrangement as an empirical measure of nonrandom complexity. The presented method could detect these complexes
Journal title :
Astroparticle Physics
Serial Year :
2017
Record number :
2412190
Link To Document :
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