Longitudinal trajectory of neuropsychological performance and dementia subtypes
  
   Lead Investigator:    Huiping Xu
   Institution      :    Indiana University
   E-Mail           :    huipxu@iupui.edu
   Proposal ID      :    154


   Publications:


1  Lai D, Xu H, Koller D, Foroud T, Gao S
   A Multivariate Finite Mixture Latent Trajectory Model with Application to Dementia Studies
   Journal Article  J Appl Stat,43:2503-2523,2016,PMC5021196

   PUBLISHED





   Proposal Description:
   Differentiating the types of dementia is a difficult clinical challenge. Our proposed research aims to determine how the longitudinal patterns of neuropsychological performance can be used for dementia subtypes. The specific aims are: (1) to determine the longitudinal trajectories of cognitive performance using neuropsychological tests in multiple cognitive domains (2) to examine the relationship between these trajectories and neuropathologic diagnosis. The results of our investigation will allow clinicians to utilize longitudinal clinical and neuropsychological data and provide a more accurate dementia subtype diagnosis based on patients??? cognitive trajectories.