Longitudinal evaluation of surrogates of regional cerebral blood flow computed from dynamic amyloid PET imaging

Murat Bilgel, Lori Beason-Held, Yang An, Yun Zhou, Dean F. Wong, Susan M. Resnick

Research output: Contribution to journalArticlepeer-review

Abstract

Surrogates of neuronal activity, typically measured by regional cerebral blood flow (rCBF) or glucose metabolism, can be estimated from dynamic amyloid PET imaging. Using data for 149 participants (345 visits) from the Baltimore Longitudinal Study of Aging, we assessed whether the average of early amyloid frames (EA) and R1 computed from dynamic 11C-Pittsburgh compound B (PiB) PET can serve as surrogates of rCBF computed from 15O-H2O-PET. R1 had the highest longitudinal test–retest reliability. Interquartile range (IQR) of cross-sectional Pearson correlations with rCBF was 0.60–0.72 for EA and 0.63–0.72 for R1. Correlations between rates of change were lower (IQR 0.22–0.50 for EA, 0.25–0.55 for R1). Values in the Alzheimer’s metabolic signature meta-ROI were negatively associated with age and exhibited longitudinal declines for each PET measure. In age-adjusted analyses, meta-ROI rCBF and R1 were lower among amyloid+ individuals; EA and R1 were lower among males. Regional PiB-based measures, in particular R1, can be suitable surrogates of rCBF. Dynamic PiB-PET may obviate the need for a separate scan to measure neuronal activity, thereby reducing patient burden, radioactivity exposure, and cost.

Original languageEnglish (US)
Pages (from-to)288-297
Number of pages10
JournalJournal of Cerebral Blood Flow and Metabolism
Volume40
Issue number2
DOIs
StatePublished - Feb 1 2020

Keywords

  • Amyloid
  • cerebral blood flow
  • longitudinal
  • neurodegeneration
  • neuronal activity

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of 'Longitudinal evaluation of surrogates of regional cerebral blood flow computed from dynamic amyloid PET imaging'. Together they form a unique fingerprint.

Cite this