Rebecca A. Hayes

This study uses bee-collected pollen sequence data to train machine learning models for predicting sample origin, finding that Random Forest and k-Nearest Neighbors models achieve high accuracy.

This study evaluates low-field MRI processing strategies to improve cortical thickness correspondence with high-field MRI in young people, finding that recon-all-clinical on multi-orientation T2w images provides the best results.

This study examines the relationship between cortical gyrification and sleep patterns in adolescents and young adults, identifying both stable and age-specific associations.

This study examines brain morphometric deviations in individuals at clinical high-risk for psychosis and finds they largely overlap with healthy variation and are not strongly associated with symptom severity or conversion to psychosis.

This study examines how sleep patterns relate to gray matter structure across adolescence, finding both stable and developmentally-specific associations in different brain regions.

The paper investigates how age affects symptom expression in first-episode psychosis using longitudinal data, finding age-related changes in perceptual and non-perceptual positive symptoms.