Ashura Williams Buckley

The paper analyzes sleep data from 1527 pediatric PSGs across five sites to study neurodevelopmental disorders, identifying sleep architecture disruptions in Down Syndrome and developing a sleep stager and brain age prediction model.

This study examines the infraslow fluctuation of sigma power (ISFS) in sleep EEG data from young individuals with schizophrenia, finding reduced ISFS in both Childhood-Onset and Early-Onset Schizophrenia groups compared to controls.

The paper investigates spindle chirp and other sleep oscillatory features in young children with and without autism, finding significant differences in chirp negativity and coupling angles.

This study presents a 10-year prospective analysis of type II GM1 gangliosidosis, detailing disease progression and phenotypic features in 41 patients.

The paper develops a sleep-based metric to quantify brain maturation using EEG data from children, showing high accuracy in predicting chronological age and detecting neurodevelopmental differences.