title: Quantitative electroencephalography in Alzheimer's disease: comparison with a control group, population norms and mental status.
abstract: OBJECTIVE
  Given that quantitative electroencephalography (EEG) has repeatedly shown excessive slow wave activity in dementia of the Alzheimer type (DAT) that increases with disease progression, we assessed the clinical utility of this tool by comparing various approaches used to assess slowing.
  
  
  METHODS
  Cross-sectional study comparing quantitative EEG data from patients with DAT with normative data from an elderly control group and from EEG norms derived from a large population.
  
  
  METHODS
  35 subjects diagnosed with probable DAT and 30 elderly controls.
  
  
  METHODS
  EEG recorded from 21 scalp sites of each patient and elderly control during vigilance-controlled, eyes-closed, resting conditions was spectrally analyzed to yield measures of absolute and relative power in delta, theta, alpha and beta bands and indices of mean alpha band and total band frequency.
  
  
  RESULTS
  Group comparisons of raw or age-regressed z-score population normative values yielded different profiles with respect to direction of frequency band changes, regional topography and clinical rating correlations, but both procedures evidenced overall patterns of EEG slowing in DAT. However, both methodologies yielded only modest (75%) classification rates.
  
  
  CONCLUSIONS
  Quantitative EEG remains a valuable research tool but, as yet, an unproven diagnostic tool, for DAT.
authors: Department of Psychiatry and Psychology, University of Ottawa-Royal Ottawa Hospital and Institute of Mental Health Research, Ottawa, Ont. vknott@rohcg.on.ca
authors: V
authors: V
authors: Knott
authors: E
authors: E
authors: Mohr
authors: C
authors: C
authors: Mahoney
authors: V
authors: V
authors: Ilivitsky
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000175:diagnosis / Q000503:physiopathology / Q000523:psychology; D000704:Analysis of Variance; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping / Q000379:methods; D003072:Cognition Disorders / Q000175:diagnosis* / Q000453:epidemiology; D003430:Cross-Sectional Studies; D016002:Discriminant Analysis; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D008297:Male; D009483:Neuropsychological Tests; D012016:Reference Values; D012720:Severity of Illness Index