Degree Date
3-2026
Document Type
Dissertation - Public Access
Degree Name
Psy.D. Doctor of Clinical Psychology
Academic Discipline
Clinical Psychology
First Advisor
Leah Horvath, PsyD
Second Advisor
Emese Vitalis, PsyD
Third Advisor
Catherine Jackson, PsyD
Abstract
Autism spectrum disorder (ASD) is a developmental condition marked by impairments in social interaction, communication, repetitive behaviors, and differences in cognitive and emotional functioning. These challenges can significantly affect daily living, relationships, and long-term independence, often requiring lifelong support. Emerging research suggests that deficits in interoceptive processing—the ability to perceive internal bodily states—may contribute to ASD symptoms and represent a potential target for intervention.
This study aims to compare resting-state EEG (QEEG) activity between children and adolescents with ASD and neurotypical (TD) peers, and to explore the relationship between interoceptive processing and ASD diagnosis. Archival QEEG data from individuals aged 4–17 were analyzed.
A multivariate analysis of covariance (MANCOVA) was used to examine group differences, with diagnosis (ASD vs. TD) and sex as independent variables, and age as a covariate to control for developmental effects. Dependent variables included absolute, peak, and relative spectral power across standard EEG frequency bands (Delta, Theta, Alpha, Beta, Gamma). Separate MANCOVAs were conducted for each frequency band, followed by univariate ANOVAs to identify specific electrode-level differences.
This methodological approach allows for the isolation of diagnostic and sex-related effects while accounting for age-related variability. The study aims to clarify neurophysiological differences associated with ASD and their potential link to interoceptive processing, with implications for future treatment strategies.
Recommended Citation
Morris, Stephanie J., "Resting-State EEG Spectral Activity in Children and Adolescents with ASD: Potential Correlations with Interoceptive Neocortical Areas" (2026). Dissertations. 980.
https://digitalcommons.nl.edu/diss/980