title: Conversion from mild cognitive impairment to Alzheimer's disease is predicted by sources and coherence of brain electroencephalography 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 (delta=2-4 Hz; theta=4-8 Hz; alpha 1=8-10.5 Hz; alpha 2=10.5-13 Hz: beta 1=13-20 Hz; beta 2=20-30 Hz; and gamma=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 delta (temporal), theta (parietal, occipital and temporal), and alpha 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 delta source and high midline gamma coherence were observed respectively. Interpretation. Low-cost and diffuse computerized EEG techniques are able to statistically predict MCI to AD conversion.
authors.affiliation: IRCCS "Centro S. Giovanni di Dio-F.B.F.," Brescia, Italy. paolomaria.rossini@afar.it
authors.forename: P M
authors.initials: PM
authors.lastname: Rossini
authors.forename: C
authors.initials: C
authors.lastname: Del Percio
authors.forename: P
authors.initials: P
authors.lastname: Pasqualetti
authors.forename: E
authors.initials: E
authors.lastname: Cassetta
authors.forename: G
authors.initials: G
authors.lastname: Binetti
authors.forename: G
authors.initials: G
authors.lastname: Dal Forno
authors.forename: F
authors.initials: F
authors.lastname: Ferreri
authors.forename: G
authors.initials: G
authors.lastname: Frisoni
authors.forename: P
authors.initials: P
authors.lastname: Chiovenda
authors.forename: C
authors.initials: C
authors.lastname: Miniussi
authors.forename: L
authors.initials: L
authors.lastname: Parisi
authors.forename: M
authors.initials: M
authors.lastname: Tombini
authors.forename: F
authors.initials: F
authors.lastname: Vecchio
authors.forename: C
authors.initials: C
authors.lastname: Babiloni
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000175:diagnosis* / Q000503:physiopathology*; D000704:Analysis of Variance; D001931:Brain Mapping; D016022:Case-Control Studies; D003072:Cognition Disorders / Q000503:physiopathology*; D018450:Disease Progression; D004569:Electroencephalography; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D008609:Mental Status Schedule; D009483:Neuropsychological Tests; D011237:Predictive Value of Tests; D012016:Reference Values; D012044:Regression Analysis; D013057:Spectrum Analysis