Sources of cortical rhythms change as a function of cognitive impairment in pathological aging: a multicenter study

Clin Neurophysiol. 2006 Feb;117(2):252-68. doi: 10.1016/j.clinph.2005.09.019. Epub 2005 Dec 27.

Abstract

Objective: The present study tested the hypothesis that cortical electroencephalographic (EEG) rhythms. change across normal elderly (Nold), mild cognitive impairment (MCI), and Alzheimer's disease (AD) subjects as a function of the global cognitive level.

Methods: Resting eyes-closed EEG data were recorded in 155 MCI, 193 mild AD, and 126 age-matched Nold subjects. EEG rhythms of interest were 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), and beta 2 (20-30 Hz). EEG cortical sources were estimated by LORETA.

Results: Occipital delta and alpha 1 sources in parietal, occipital, temporal, and 'limbic' areas had an intermediate magnitude in MCI subjects compared to mild AD and Nold subjects. These five EEG sources presented both linear and nonlinear (linear, exponential, logarithmic, and power) correlations with the global cognitive level (as revealed by mini mental state examination score) across all subjects.

Conclusions: Cortical EEG rhythms change in pathological aging as a function of the global cognitive level.

Significance: The present functional data on large populations support the 'transitional hypothesis' of a shadow zone across normality, pre-clinical stage of dementia (MCI), and AD.

Publication types

  • Comparative Study
  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aging / pathology*
  • Alzheimer Disease / physiopathology
  • Brain Mapping*
  • Case-Control Studies
  • Cerebral Cortex / physiopathology*
  • Cognition Disorders / physiopathology*
  • Electroencephalography / classification
  • Electroencephalography / methods
  • Female
  • Humans
  • Male
  • Mental Status Schedule / statistics & numerical data
  • Middle Aged
  • Retrospective Studies
  • Signal Processing, Computer-Assisted
  • Spectrum Analysis
  • Statistics as Topic

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