Evolution of neurodegeneration-imaging biomarkers from clinically normal to dementia in the Alzheimer disease spectrum

David S. Knopman, Clifford R. Jack, Emily S. Lundt, Stephen D. Weigand, Prashanthi Vemuri, Val J. Lowe, Kejal Kantarci, Jeffrey L. Gunter, Matthew L. Senjem, Michelle M. Mielke, Mary M. Machulda, Rosebud O. Roberts, Bradley F. Boeve, David T. Jones, Ronald C. Petersen

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The availability of antemortem biomarkers for Alzheimer's disease (AD) enables monitoring the evolution of neurodegenerative processes in real time. Pittsburgh compound B (PIB) positron emission tomography (PET) was used to select participants in the Mayo Clinic Study of Aging and the Mayo Alzheimer's Disease Research Center with elevated β-amyloid, designated as “A+,” and hippocampal volume and 18fluorodeoxyglucose (FDG) positron emission tomography were used to characterize participants as having evidence of neurodegeneration (“N+”) at the baseline evaluation. There were 145 clinically normal (CN) A+ individuals, 62 persons with mild cognitive impairment (MCI) who were A+ and 20 with A+ AD dementia. Over a period of 1–6 years, MCI A+N+ individuals showed declines in medial temporal, lateral temporal, lateral parietal, and to a lesser extent, medial parietal regions for both FDG standardized uptake value ratio and gray matter volume that exceeded declines seen in the CN A+N+ group. The AD dementia group showed declines in the same regions on FDG standardized uptake value ratio and gray matter volume with rates that exceeded that in MCI A+N+. Expansion of regional involvement and faster rate of neurodegeneration characterizes progression in the AD pathway.

Original languageEnglish (US)
Pages (from-to)32-42
Number of pages11
JournalNeurobiology of Aging
Volume46
DOIs
StatePublished - Oct 1 2016
Externally publishedYes

Keywords

  • Alzheimer's disease
  • FDG PET imaging
  • Longitudinal study
  • MR imaging
  • PIB PET imaging

ASJC Scopus subject areas

  • Clinical Neurology
  • General Neuroscience
  • Aging
  • Developmental Biology
  • Geriatrics and Gerontology

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