Cognitive aging trajectories in Alzheimers disease

 
   Lead Investigator:    Brandon Gavett
   Institution      :    University of Colorado at Colorado Springs
   E-Mail           :    bgavett@uccs.edu
   Proposal ID      :    229


   Publications:


1  Gavett BE, Vudy V, Jeffrey M, John SE, Gurnani A, Adams J
   The delta latent dementia phenotype in the uniform data set: Cross-validation and extension
   Journal Article  Neuropsychology,29:344-352,2015,PMC4340822

   PUBLISHED





   Proposal Description:
   As a clinical entity, the cognitive dysfunction produced by Alzheimer's disease  commonly presents with disordered episodic memory and semantic degradation.  Other cognitive difficulties, such as executive, language, and visuospatial  dysfunction are not necessarily consistent from person to person. Furthermore,  the rate at which these functions decline may differ based on neuropathological  characteristics and individual differences (e.g., APOE genotype, cognitive  reserve). The purpose of this study is to model the trajectory of cognitive  change in persons with AD using latent growth mixture modeling, in order to  determine whether the clinical diagnosis of AD represents two or more distinct  classes of individuals which can be differentiated by differing rates of  cognitive decline. If distinct classes emerge, an examination of covariates  (e.g., APOE genotype, cognitive reserve) can be beneficial in predicting  outcomes for those diagnosed with AD.