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Individual alpha peak frequency tracks Alzheimer's disease progression: A longitudinal pilot study
BackgroundEarly and accurate tracking of Alzheimer's disease (AD) progression is critical for timely intervention. However, electrophysiological biomarkers capable of capturing long-term neurodegenerative changes remain largely underexplored.ObjectiveWe investigated whether individual alpha peak frequency (IAPF), an electroencephalography (EEG)-derived measure of dominant neural oscillatory activity, could serve as a longitudinal biomarker of AD progression.MethodsTwenty-seven patients with AD aged 63-91 years underwent annual EEG and cognitive assessments over 2-7 years. IAPF was extracted from eyes-closed resting-state EEG. Longitudinal associations among IAPF, Mini-Mental State Examination (MMSE) scores, age, and follow-up time were evaluated using repeated-measures correlation and linear mixed-effects models. Annual IAPF changes were compared with those of healthy controls (HC) aged 20-70 years, stratified by decade-based age subgroups. Longitudinal changes in relative spectral power …
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| Resting-state EEG data before and after cognitive activity across the adult lif… | secondary |