title: Index of alpha/theta ratio of the electroencephalogram: a new marker for Alzheimer's disease.
abstract: OBJECTIVE
  We evaluated quantitative EEG measures to determine a screening index to discriminate Alzheimer's disease (AD) patients from normal individuals.
  
  
  METHODS
  Two groups of individuals older than 50 years, comprising a control group of 57 normal volunteers and a study group of 50 patients with probable AD, were compared. EEG recordings were obtained from subjects in a wake state with eyes closed at rest for 30 min. Logistic regression analysis was conducted.
  
  
  RESULTS
  Spectral potentials of the alpha and theta bands were computed for all electrodes and the alpha/theta ratio calculated. Logistic regression of alpha/theta of the mean potential of the C3 and O1 electrodes was carried out. A formula was calculated to aid the diagnosis of AD yielding 76.4% sensitivity and 84.6% specificity for AD with an area under the ROC curve of 0.92.
  
  
  CONCLUSIONS
  Logistic regression of alpha/theta of the spectrum of the mean potential of EEG represents a good marker discriminating AD patients from normal controls.
authors.affiliation: Division of Clinical Neurology, Referral Center for Cognitive Disorders, HCFMUSP , São Paulo , Brazil.
authors.forename: Magali T
authors.initials: MT
authors.lastname: Schmidt
authors.forename: Paulo A M
authors.initials: PA
authors.lastname: Kanda
authors.forename: Luis F H
authors.initials: LF
authors.lastname: Basile
authors.forename: Helder Frederico
authors.initials: HF
authors.lastname: da Silva Lopes
authors.forename: Regina
authors.initials: R
authors.lastname: Baratho
authors.forename: Jose L C
authors.initials: JL
authors.lastname: Demario
authors.forename: Mario S
authors.initials: MS
authors.lastname: Jorge
authors.forename: Antonio E
authors.initials: AE
authors.lastname: Nardi
authors.forename: Sergio
authors.initials: S
authors.lastname: Machado
authors.forename: Jéssica N
authors.initials: JN
authors.lastname: Ianof
authors.forename: Ricardo
authors.initials: R
authors.lastname: Nitrini
authors.forename: Renato
authors.initials: R
authors.lastname: Anghinah
keywords: Alzheimer’s disease; EEG; alpha; logistic regression; theta