Mapping sleep's oscillatory events as a biomarker of Alzheimer's disease
Summary
This study analyzed sleep EEG oscillatory events including theta bursts, sleep spindles, and slow waves in 205 aging adults. The research found that cognitively unimpaired, amyloid-positive individuals demonstrated lower precision in slow wave-theta burst and slow wave-spindle coupling compared to amyloid-negative individuals. Significant biomarker correlations were found between oscillatory event coupling and CSF Aβ42/Aβ40, phosphorylated-tau181, and total-tau levels.
Why it matters
This work establishes sleep EEG as a potential non-invasive biomarker for early Alzheimer's disease pathogenesis. The finding that coupling precision breaks down before cognitive impairment appears suggests that at-home sleep EEG monitoring could enable inexpensive, scalable screening for preclinical AD, complementing expensive PET imaging or invasive lumbar puncture procedures.
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