Date Thesis Awarded
Honors Thesis -- Open Access
Bachelors of Science (BS)
A central aim of this study was to determine whether there are consistent differences in a variety of ERPs and/or resting state measures of EEG between children diagnosed with ASD and psychiatric controls. Additionally, we aimed to determine whether any of those differences would generalize to the neural correlates of continuous measures of autistic tendencies in the general population. We classified EEG data into three categories: basic sensory responses, cognitive/perceptual ERPs, and resting state measures. Our study indicated that basic sensory responses and cognitive/perceptual event-related potentials (ERPs) did not differentiate autistic individuals from controls. For resting-state measures, the high gamma frequency band emerged as the sole differentiator.
Liang, Shuhan, "Examining Measures of EEG as Biomarkers for Autism Spectrum Disorder" (2023). Undergraduate Honors Theses. William & Mary. Paper 1958.