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

P. M. Rossini, C. Del Percio, P. Pasqualetti, E. Cassetta, G. Binetti, G. Dal Forno, F. Ferreri, G. Frisoni, P. Chiovenda, C. Miniussi, L. Parisi, M. Tombini, F. Vecchio, C. Babiloni

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)793-803
Number of pages11
JournalNeuroscience
Volume143
Issue number3
DOIs
Publication statusPublished - Dec 13 2006

Keywords

  • Alzheimer's disease
  • cognitive decline
  • dementia
  • EEG
  • mild cognitive impairment
  • neurodegeneration

ASJC Scopus subject areas

  • Neuroscience(all)

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