title: Validity of the quantitative EEG statistical pattern recognition method in diagnosing Alzheimer's disease.
abstract: OBJECTIVE
  To evaluate the use of quantitative EEG (qEEG) statistical pattern recognition in diagnosing Alzheimer's disease (AD).
  
  
  METHODS
  qEEG was performed on 104 patients referred to a memory clinic. The qEEG results were compared to the clinical diagnosis made without access to the EEG results.
  
  
  RESULTS
  Of 30 patients with a clinical diagnosis of AD, 22 were test positive. Of the 74 patients without AD, 34 were test negative. The qEEG result was found to correlate with atrophy of the medial temporal lobe demonstrated on cerebral MRI (p = 0.002) and with scores on neuropsychological tests.
  
  
  CONCLUSIONS
  The qEEG was poor at diagnosing AD, as it produced many false-positive results.
authors: Department of Geriatric Medicine, Ullevaal University Hospital, Nydalen, Oslo, Norway. nina.ommundsen@oslo-universitetssykehus.no
authors: Nina
authors: N
authors: Ommundsen
authors: Knut
authors: K
authors: Engedal
authors: Anne Rita
authors: AR
authors: Øksengård
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000175:diagnosis* / Q000503:physiopathology; D016208:Databases, Factual; D003704:Dementia / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology; D003936:Diagnosis, Computer-Assisted / Q000379:methods* / Q000592:standards; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods*; D012372:ROC Curve; D012680:Sensitivity and Specificity