Brendan P. Lucey

ScreenDMT identifies metabolites consistently linked to sleep disorders across three human cohorts, revealing replicable associations with insomnia, sleep duration, and daytime sleepiness.

The paper models A{beta} dynamics across brain, CSF, and plasma during sleep and wakefulness, showing increased CSF A{beta}42 levels after sleep due to sampling effects and impaired clearance.

The paper develops a cross-species translation framework to identify therapeutic targets for late-onset Alzheimer's disease using mouse models and human data.

This paper uses single-channel sleep EEG features to predict health outcomes like age, sex, and disease risk using machine learning models.

The paper maps sleep oscillatory events as biomarkers for early Alzheimer's disease by analyzing EEG and CSF biomarkers in aging adults.