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Home NEWS Science News Health

A fitness tracker for brain health: How a headband can identify early signs of Alzheimer’s disease in your sleep

Bioengineer by Bioengineer
August 23, 2023
in Health
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AURORA, Colo. (August 23, 2023) – Researchers from the University of Colorado Anschutz Medical Campus and Washington University in St. Louis have identified a way to assess brain activity in sleep that occurs in the earliest stages of Alzheimer’s disease, typically many years prior to developing symptoms of dementia.

A Fitness Tracker for Brain Health

Credit: The University of Colorado Anschutz Medical Campus

AURORA, Colo. (August 23, 2023) – Researchers from the University of Colorado Anschutz Medical Campus and Washington University in St. Louis have identified a way to assess brain activity in sleep that occurs in the earliest stages of Alzheimer’s disease, typically many years prior to developing symptoms of dementia.

The digital biomarker uses electroencephalography (EEG) that can be recorded from simple headband devices to detect brain wave patterns related to memory reactivation in sleep, which are part of a system that processes memories in deep sleep. Study results published today in Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association identify a relationship between EEG readings and levels of specific molecular changes indicative of pre-symptomatic Alzheimer’s disease. Additional findings further demonstrate that early stages of mild cognitive impairment due to Alzheimer’s disease can be detected in the EEG signals.

“This digital biomarker essentially enables any simple EEG headband device to be used as a fitness tracker for brain health,” says Brice McConnell, MD, PhD, assistant professor of neurology at the University of Colorado School of Medicine and study senior author. “Demonstrating how we can assess digital biomarkers for early indications of disease using accessible and scalable headband devices in a home setting is a huge advancement in catching and mitigating Alzheimer’s disease at the earliest stages.” 

In the largest study of its kind to date, researchers analyzed data from 205 aging adults, identifying measurable problems with memory reactivation in association with levels of proteins such as amyloid and tau that build up in Alzheimer’s Disease.

“What we found is these abnormal levels of proteins are related to sleep memory reactivations, which we could identify in people’s brainwave patterns before they experienced any symptoms,” says McConnell. “Identifying these early biomarkers for Alzheimer’s disease in asymptomatic adults can help patients develop preventative or mitigation strategies before the disease advances.”

Researchers say this is an exciting step towards using wearables as digital biomarkers for disease detection. “We are just scratching the surface with this work, paving the way for affordable and easy-to-use devices to monitor brain health,” says McConnell. “This is proof of principle that brain waves during sleep can be turned into a digital biomarker, and our next steps involve perfecting the process.” 

 

About the University of Colorado Anschutz Medical Campus

The University of Colorado Anschutz Medical Campus is a world-class medical destination at the forefront of transformative science, medicine, education and patient care. The campus encompasses the University of Colorado health professional schools, more than 60 centers and institutes, and two nationally ranked independent hospitals – UCHealth University of Colorado Hospital and Children’s Hospital Colorado – that treat more than two million adult and pediatric patients each year. Innovative, interconnected and highly collaborative, the University of Colorado Anschutz Medical Campus delivers life-changing treatments, patient care and professional training and conducts world-renowned research fueled by over $690 million in research grants. For more information, visit www.cuanschutz.edu.



Journal

Alzheimers Disease & Dementia

DOI

10.1002/alz.13420

Article Title

Mapping sleep’s oscillatory events as a biomarker of Alzheimer’s disease

Article Publication Date

23-Aug-2023

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