EEG biomarkers in Alzheimer's and prodromal Alzheimer's: a comprehensive analysis of spectral and connectivity features
Summary
This study collected resting-state EEG data from individuals with Alzheimer's disease, prodromal AD (MCI), and normal cognition, extracting 41 different EEG features. Theta/alpha and theta/beta power ratios showed significant differences between cognitively normal and AD individuals. Notably, increased gamma/alpha power ratio, gamma power, and gamma functional connectivity were observed in prodromal AD, distinguishing it from full AD.
Why it matters
The comprehensive catalog of AD-specific EEG features provides clinicians and researchers with validated biomarkers for early diagnosis and treatment monitoring. The finding that gamma connectivity increases in prodromal AD but changes in different ways in full AD offers a potential window for early intervention before irreversible neurodegeneration occurs.
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