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<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 δ source and high midline γ coherence were observed respectively. Interpretation. Low-cost and diffuse computerized EEG techniques are able to statistically predict MCI to AD conversion. © 2006 IBRO.

Conversion from mild cognitive impairment to Alzheimer's disease is predicted by sources and coherence of brain electroencephalography rhythms / Rossini, P. M.; Del Percio, C.; Pasqualetti, P.; Cassetta, E.; Binetti, G.; Dal Forno, G.; Ferreri, F.; Frisoni, G.; Chiovenda, P.; Miniussi, C.; Parisi, L.; Tombini, M.; Vecchio, F.; Babiloni, C.. - In: NEUROSCIENCE. - ISSN 0306-4522. - STAMPA. - 143:3(2006), pp. 793-803. [10.1016/j.neuroscience.2006.08.049]

Conversion from mild cognitive impairment to Alzheimer's disease is predicted by sources and coherence of brain electroencephalography rhythms

Miniussi C.;Parisi L.;
2006-01-01

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<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 δ source and high midline γ coherence were observed respectively. Interpretation. Low-cost and diffuse computerized EEG techniques are able to statistically predict MCI to AD conversion. © 2006 IBRO.
2006
3
Rossini, P. M.; Del Percio, C.; Pasqualetti, P.; Cassetta, E.; Binetti, G.; Dal Forno, G.; Ferreri, F.; Frisoni, G.; Chiovenda, P.; Miniussi, C.; Pari...espandi
Conversion from mild cognitive impairment to Alzheimer's disease is predicted by sources and coherence of brain electroencephalography rhythms / Rossini, P. M.; Del Percio, C.; Pasqualetti, P.; Cassetta, E.; Binetti, G.; Dal Forno, G.; Ferreri, F.; Frisoni, G.; Chiovenda, P.; Miniussi, C.; Parisi, L.; Tombini, M.; Vecchio, F.; Babiloni, C.. - In: NEUROSCIENCE. - ISSN 0306-4522. - STAMPA. - 143:3(2006), pp. 793-803. [10.1016/j.neuroscience.2006.08.049]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/285376
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