Early detection of risk of autism spectrum disorder
Title: Early detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals
Problem: Autism spectrum disorder (ASD) is a neurodevelopmental disorder that responds to early treatment, but most people are diagnosed late. We therefore need biomarkers for ASD that do not require highly trained professionals. Electroencephalography (EEG) might help the search for early biomarkers.
Project: In this interdisciplinary project, recurrence quantification analysis of 5-second segments of resting state EEG data was used to identify a potential biomarker for ASD. In three studies, the biomarker was able to differentiate between ASD and typically developing children, ASD and non-ASD within a genetic syndrome, and between non-syndromal ASD and syndromal ASD, all with greater than 90% accuracy.