Source Localization based Healthcare Diagnostic System using ERP signals: An application to ASD.

Aim: Autism spectrum disorder is a complex disorder in which persistent challenges are introduced in communication, social interaction and repetitive patterns are introduced that affects 1% individuals in United Kingdom and 1.5% individual in united states. The number of individuals affected by autism is 1 in 110 in india and 1 in 68 worldwide. It has been estimated that 2 million people in India are affected by autism spectrum disorder. In this study we used Evented Related potentials(ERP) to investigate the brain area in order to diagnose ASD. Methods: This study enrolled 20 individuals with Autism and 20 typically developing individuals. Low-resolution electromagnetic tomography (LORETA) was used to analyze ERP data to reveal the mechanisms underlying Autism in individuals. Results: There were significant difference in current density between Autistic and typically developing individuals. In the entire brain area, the occipital lobe concerned with visual perception exhibited the most significant difference between the individuals with autism and typically developing individuals groups. Differences were also observed in parietal and frontal lobes. Conclusions: LORETA can prove to be a revolutionary tool for investigation of autism spectrum disorder. n comparison to other techniques ERP is a promising biomarker for autism . By comparing activation maps at different time instants one can diagnose Autism at a early stage Our study aims to address diagnostic approach for autism in individuals. [ABSTRACT FROM AUTHOR]