In the largest study of its kind, CU Anschutz scientists are advancing the development of a digital biomarker. This marker, identified through a wearable headband used at night, can detect early indications of Alzheimer's disease from brainwave patterns. Researchers from the University of Colorad
have discovered a method to evaluate brain activity during sleep, linked to the initial phases of Alzheimer’s disease, often manifesting long before dementia symptoms appear.
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.
“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.”
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