Science from the Field with BMedical
In this episode of Science from the Field, host Ben Greenaway, sits down with Dan Levendowski from Advanced Brain Monitoring to explore how sleep and EEG biomarkers are reshaping the way we understand neurodegenerative disease risk. The conversation traces the evolution of the Sleep Profiler, from early sleep measurement and EEG analysis to its role in identifying subtle brain changes associated with conditions such as Alzheimer’s disease, Parkinson’s disease, Lewy body dementia, and REM sleep behaviour disorder. Dan explains how specific sleep characteristics including sleep architecture, non-REM hypertonia, autonomic activation, and time spent sleeping supine can act as early indicators of neurodegenerative risk, often years before cognitive symptoms appear. They also discuss the emerging science around glymphatic clearance during sleep, why sleeping position may matter, and how machine-learning models are being used to interpret complex biomarker data in a clinically meaningful way. The episode also explores the ethical and practical questions that arise when identifying risk early: how clinicians communicate findings, how patients and families use this information for planning, and where this technology fits within both research and real-world clinical care. This is a deep-dive episode for clinicians, researchers, and anyone interested in the intersection of sleep, brain health, and the future of neurodegenerative disease detection.
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