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 (δ=2-4 Hz; θ=4-8 Hz; α 1=8-10.5 Hz; α 2=10.5-13 Hz: β 1=13-20 Hz; β 2=20-30 Hz; and γ=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 δ (temporal), θ (parietal, occipital and temporal), and α 1 (central, parietal, occipital, temporal, limbic) sources were stronger in MCI Converted than stable subjects (P
Original language | English |
---|---|
Pages (from-to) | 793-803 |
Number of pages | 11 |
Journal | Neuroscience |
Volume | 143 |
Issue number | 3 |
DOIs | |
Publication status | Published - Dec 13 2006 |
Keywords
- Alzheimer's disease
- cognitive decline
- dementia
- EEG
- mild cognitive impairment
- neurodegeneration
ASJC Scopus subject areas
- Neuroscience(all)