Abigail H. Dickinson

Among infant siblings of autistic children, greater trial-to-trial variability in visual P1 latency at 6 and 12 months tracked higher 24-month cognitive and language scores; mean P1 measures did not.

The paper identifies periodic and aperiodic components of EEG delta power as complementary biomarkers for Angelman syndrome in both humans and mice.

This study identifies atypical alpha peak frequency (PAF) in EEGs of children with Angelman syndrome, showing reduced detection rates and lower frequencies compared to typically developing controls.

This study finds that adults with autism spectrum disorder show accelerated age-related oscillatory slowing in peak alpha frequency compared to neurotypical controls.

The paper uses EEG data from infants to predict later ASD symptoms using multivariate pattern analysis, finding specific connectivity differences associated with ASD.

The paper uses EEG to identify early functional brain differences in infants with tuberous sclerosis complex (TSC) that predict later autism spectrum disorder (ASD) development.