Montreal Cognitive Assessment (MoCA): validation study for frontotemporal dementia

J Geriatr Psychiatry Neurol. 2012 Sep;25(3):146-54. doi: 10.1177/0891988712455235. Epub 2012 Aug 1.

Abstract

The Montreal Cognitive Assessment (MoCA) is a brief instrument developed for the screening of milder forms of cognitive impairment, having surpassed the well-known limitations of the Mini-Mental State Examination (MMSE). The aim of the present study was to validate the MoCA as a cognitive screening test for behavioral-variant frontotemporal dementia (bv-FTD) by examining its psychometric properties and diagnostic accuracy. Three matched subgroups of participants were considered: bv-FTD (n = 50), Alzheimer disease (n = 50), and a control group of healthy adults (n = 50). Compared with the MMSE, the MoCA demonstrated consistently superior psychometric properties and discriminant capacity, providing comprehensive information about the patients' cognitive profiles. The diagnostic accuracy of MoCA for bv-FTD was extremely high (area under the curve AUC [MoCA] = 0.934, 95% confidence interval [CI] = 0.866-.974; AUC [MMSE] = 0.772, 95% CI = 0.677-0.850). With a cutoff below 17 points, the MoCA results for sensitivity, specificity, positive predictive value, negative predictive value, and classification accuracy were significantly superior to those of the MMSE. The MoCA is a sensitive and accurate instrument for screening the patients with bv-FTD and represents a better option than the MMSE.

Publication types

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

MeSH terms

  • Aged
  • Area Under Curve
  • Cognition Disorders / complications
  • Cognition Disorders / diagnosis*
  • Cognition Disorders / psychology
  • Female
  • Frontotemporal Dementia / complications
  • Frontotemporal Dementia / diagnosis*
  • Frontotemporal Dementia / psychology
  • Geriatric Assessment / methods*
  • Geriatric Assessment / statistics & numerical data
  • Humans
  • Male
  • Neuropsychological Tests / statistics & numerical data*
  • Predictive Value of Tests
  • Psychometrics
  • ROC Curve
  • Reproducibility of Results
  • Sensitivity and Specificity