Validation and diagnostic accuracy of predictive curves for age-associated
longitudinal cognitive decline in the elderly 
   Lead Investigator:    Robert LaForce
   Institution      :    CHU de Quebec - Universite Laval
   E-Mail           :    Audrey.Paradis@crchudequebec.ulaval.ca
   Proposal ID      :    1016



   Proposal Description:
   We aim to generate ready-to-use cognitive charts for follow-up of age-associated cognitive decline, analogous to pediatric growth charts, based on key predictors of incipient decline in the Montreal Cognitive Assessment, to allow simple clinical follow-up of age-associated cognitive decline by first-line physicians using those screening tools. Specifically, we plan to:  1. Build a model for cognitive charts using the MoCA in healthy controls, taking age and education into account  2. Validate the model in external databases with participants presenting matching characteristics  3. Validate the diagnostic accuracy of the newly developed cognitive charts