Estimating the temporal evolution of Alzheimer's disease pathology with autopsy data

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5 Scopus citations

Abstract

The temporal growth of Alzheimer's disease (AD) neuropathology cannot be easily determined because autopsy data are available only after death. We combined autopsy data from 471 participants in the Honolulu-Asia Aging Study (HAAS) into latent factor measures of neurofibrillary tangle and neuritic plaque counts. These were associated with intercept and slope parameters from a latent growth curve (LGC) model of 9-year change in cognitive test performance in 3244 autopsied and non-autopsied HAAS participants. Change in cognition fully mediated the association between baseline cognitive performance and AD lesions counts. The mediation effect of cognitive change on both AD lesion models effectively dates them within the period of cognitive surveillance. Additional analyses could lead to an improved understanding of lesion propagation in AD.

Original languageEnglish (US)
Pages (from-to)23-32
Number of pages10
JournalJournal of Alzheimer's Disease
Volume32
Issue number1
DOIs
StatePublished - 2012

Keywords

  • Alzheimer's disease
  • longitudinal
  • neuropathology
  • old age

ASJC Scopus subject areas

  • Neuroscience(all)
  • Clinical Psychology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health

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