Conversion from MCI to Alzheimer's disease is predicted by sources and coherence of brain EEG rhythms.

Abstract—Objective. Can quantitative electroencephalography
(EEG) predict the conversion from mild cognitive impairment
(MCI) to Alzheimer’s disease (AD)?
Methods. Sixty-nine subjects fulfilling criteria for MCI
were enrolled; cortical connectivity (spectral coherence) and
(low resolution brain electromagnetic tomography) sources
of EEG rhythms (2–4 Hz; 4–8 Hz; 18–10.5 Hz;
210.5–13 Hz: 113–20 Hz; 220–30 Hz; and 30–40)
were evaluated at baseline (time of MCI diagnosis) and follow
up (about 14 months later). At follow-up, 45 subjects were still
MCI (MCI Stable) and 24 subjects were converted to AD (MCI
Converted).
Results. At baseline, fronto-parietal midline coherence as
well as (temporal), (parietal, occipital and temporal), and
1 (central, parietal, occipital, temporal, limbic) sources were
stronger in MCI Converted than stable subjects (P<0.05). Cox
regression modeling showed low midline coherence and
weak temporal source associated with 10% annual rate AD
conversion, while this rate increased up to 40% and 60%
when strong temporal source and high midline coherence
were observed respectively.