This study is developing new non-invasive brain imaging tools to better understand how the brain clears waste during sleep—and how this process may differ between men and women as they age, with links to Alzheimer’s disease.

This study looks at how repeated exposure to low-level blasts during intense military training affects sleep, brain inflammation, and health over time.

We are conducting a cutting-edge clinical trial using wearable technology to improve sleep in Warfighters with insomnia and sympathetic nervous system hyperactivity, while simultaneously validating biomarkers of autonomic and glymphatic function.

This study explores what causes the brain to feel tired after long periods of wakefulness and aims to find new ways—both behavioral and medical—to prevent the negative effects of sleep loss. It focuses on “local sleep in wake”, when small brain regions briefly enter a sleep-like state during wakefulness, leading to lapses in attention and reduced performance.

This project is creating new brain imaging tools to measure how fluid flows in the brain during sleep, helping us understand how poor sleep affects health and performance—especially in Service Members who work long or irregular hours.

This study explores whether less invasive sampling methods can reliably reflect gut microbiome changes, making it easier to study brain injury-related biomarkers in future research.

This study looks at how proteins in the blood change after recovery sleep following sleep deprivation. By analyzing both general blood proteins and those from brain-related cell fragments called exosomes, we aim to uncover biological markers linked to how well someone recovers and potential resiliency to sleep loss.

This study measures how people respond to total sleep deprivation by tracking attention lapses using a reaction-time test and changes in brain activity during deep sleep. We will examine how fluid shifts in the brain vary after sleep loss using near-infrared light technology and explore genetic risk factors for Alzheimer’s disease through a broad genetic screening approach.

This Phase II study will advance the ankle-worn Guardian Sleep Assessment System (GSAS), which uses cutting-edge sensors and machine-learning to monitor subtle leg movements during sleep and detect micro-cortical arousals that can impair sleep quality and cognitive performane.