
In this free webinar, learn how sleep EEG can help detect early biological changes associated with Alzheimer's disease and mild cognitive impairment. The featured speakers will discuss slow-wave sleep, sleep spindles and sleep microarchitecture as potential tools for patient stratification and disease monitoring. Attendees will also explore how at-home EEG and sleep-based biomarkers can support interim analyses, treatment-response assessment and go/no-go decisions in these trials.
TORONTO, Aug. 14, 2026 /PRNewswire/ -- Sleep is fundamental to memory consolidation and neural repair, making it one of the most biologically meaningful signals we can measure in aging and neurodegeneration. Sleep disturbances are often among the earliest detectable changes in Alzheimer's disease (AD), emerging years before memory loss, cognitive decline, and diagnosis, and potentially ahead of pathology accumulation itself. This webinar explores how sleep EEG can support earlier detection of Alzheimer's pathophysiology and inform AD/Mild Cognitive Impairment (MCI) trial design.
The featured speakers will examine how disrupted sleep is tied to pathways implicated in neurodegeneration, including synaptic homeostasis, neuroinflammation, metabolic waste clearance, and glial cell function, with slow-wave sleep thought to be central to the glymphatic clearance of amyloid-beta and tau. Poor sleep may accelerate pathological protein accumulation, which in turn degrades the brain regions that regulate sleep, making disrupted sleep both an early symptom and likely contributor to AD: disrupting slow-wave activity for a single night raises CSF amyloid-beta by morning, and reduced slow-wave activity separately tracks with greater amyloid burden on PET.
The discussion will also address how sleep can serve both an early functional readout, ahead of standard cognitive testing, and a sensitive measure of clinical benefit. Spindle-slow wave coupling tracks early amyloid burden and predicts memory decline in cognitively healthy older adults, and because sleep metrics shift within days to months rather than the years needed for structural or cognitive endpoints, they can track amyloid accumulation and predict memory decline over 6- to 24-month windows, a timescale well suited to interim analyses and go/no-go decisions. Speakers will address how biomarker-positive but cognitively normal patients can be identified through sleep EEG and enrolled earlier than current diagnostic pathways allow.
Attendees will learn how sleep EEG endpoints can be incorporated into trial design to help capture treatment signals earlier, support interim analyses, and characterize response.
Register for this webinar to learn how sleep EEG can support earlier detection of Alzheimer's pathophysiology and strengthen AD/MCI clinical trial design.
Join experts Jacobo E. Mintzer, MD, MBA, Distinguished Fellow, American Psychiatric Association; Professor, Medical University of South Carolina; Joseph R. Winer, PhD, Neuroscientist, California Pacific Medical Center Research Institute, San Francisco Coordinating Center, UCSF; and Jay Pathmanathan, MD, PhD, Senior Medical Director, Beacon Biosignals, for the live webinar on Wednesday, September 02, 2026, at 1pm EDT (10 am PDT).
For more information, or to register for this event, visit Sleep as a Window into Early Stages of Alzheimer's Pathophysiology: Implications for Clinical Development.
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