Autism Spectrum Disorder EEG Research
Autism Spectrum Disorder is a neurodevelopmental disorder that affects sensorimotor, cognitive, and socio-communicative ability throughout the lifespan. The current behavioral diagnostics for autism can only be applied from 3 years of age, which delays the onset of interventions that are badly needed. This project explores the use of machine learning techniques to identify neurophysiological patterns in the resting-state EEG data from children with autism spectrum disorder (ASD) and their typically developing counterparts. Insights gained from this project will be used to investigate ways to provide rich automated feedback that assists parents with learning vital techniques for joint attention and social communication. We are currently looking for students interested in becoming involved with this research.