Cortical sources of resting state electroencephalographic alpha rhythms deteriorate across time in subjects with amnesic mild cognitive impairment

Claudio Babiloni, Claudio Del Percio, Roberta Lizio, Nicola Marzano, Francesco Infarinato, Andrea Soricelli, Elena Salvatore, Raffaele Ferri, Cinzia Bonforte, Gioacchino Tedeschi, Patrizia Montella, Annalisa Baglieri, Guido Rodriguez, Francesco Famà, Flavio Nobili, Fabrizio Vernieri, Francesca Ursini, Ciro Mundi, Giovanni B. Frisoni, Paolo M. Rossini

Research output: Contribution to journalArticlepeer-review

Abstract

Cortical sources of resting state electroencephalographic (EEG) rhythms are abnormal in subjects with mild cognitive impairment (MCI). Here, we tested the hypothesis that these sources in amnesic MCI subjects further deteriorate over 1 year. To this aim, the resting state eyes-closed EEG data were recorded in 54 MCI subjects at baseline (Mini Mental State Examination I= 26.9; standard error [SE], 0.2) and at approximately 1-year follow-up (13.8 months; SE, 0.5; Mini Mental State Examination II= 25.8; SE, 0.2). As a control, EEG recordings were also performed in 45 normal elderly and in 50 mild Alzheimer's disease subjects. EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha1 (8-10.5 Hz), alpha2 (10.5-13 Hz), beta1 (13-20 Hz), and beta2 (20-30 Hz). Cortical EEG sources were estimated using low-resolution brain electromagnetic tomography. Compared with the normal elderly and mild Alzheimer's disease subjects, the MCI subjects were characterized by an intermediate power of posterior alpha1 sources. In the MCI subjects, the follow-up EEG recordings showed a decreased power of posterior alpha1 and alpha2 sources. These results suggest that the resting state EEG alpha sources were sensitive-atleast at the group level-to the cognitive decline occurring in the amnesic MCI group over 1 year, and might represent cost-effective, noninvasive and widely available markers to follow amnesic MCI populations in large clinical trials.

Original languageEnglish
Pages (from-to)130-142
Number of pages13
JournalNeurobiology of Aging
Volume35
Issue number1
DOIs
Publication statusPublished - Jan 2014

Keywords

  • Disease tracking
  • Electroencephalography (EEG)
  • Low resolution brain electromagnetic tomography (LORETA)
  • Mild cognitive impairment (MCI)

ASJC Scopus subject areas

  • Clinical Neurology
  • Neuroscience(all)
  • Ageing
  • Developmental Biology
  • Geriatrics and Gerontology

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