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.
|Titolo:||Conversion from MCI to Alzheimer's disease is predicted by sources and coherence of brain EEG rhythms.|
|Autori:||P. M., Rossini; C., Del Percio; P., Pasqualetti; E., Cassetta; G., Binetti; G., Dal Forno; F., Ferreri; G., Frisoni; P., Chiovenda; Miniussi, Carlo; L., Parisi; M., Tombini; F., Vecchio; C., Babiloni|
|Titolo del periodico:||NEUROSCIENCE|
|Anno di pubblicazione:||2006|
|Appare nelle tipologie:||03.1 Articolo su rivista (Journal article)|