Defining the Lowest Threshold for Amyloid-PET to Predict Future Cognitive Decline and Amyloid Accumulation

Michelle E. Farrell, Shu Jiang, Aaron P. Schultz, Michael J. Properzi, Julie C. Price, J. Alex Becker, Heidi I.L. Jacobs, Bernard J. Hanseeuw, Dorene M. Rentz, Victor L. Villemagne, Kathryn V. Papp, Elizabeth C. Mormino, Rebecca A. Betensky, Keith A. Johnson, Reisa A. Sperling, Rachel F. Buckley

Research output: Contribution to journalArticlepeer-review


IntroductionAs clinical trials move toward earlier intervention, we sought to redefine the β-amyloid (Aβ)-PET threshold based on the lowest point in a baseline distribution that robustly predicts future Aβ accumulation and cognitive decline in 3 independent samples of clinically normal individuals.MethodsSequential Aβ cutoffs were tested to identify the lowest cutoff associated with future change in cognition (Preclinical Alzheimer Cognitive Composite [PACC]) and Aβ-PET in clinically normal participants from the Harvard Aging Brain Study (n = 342), Australian Imaging, Biomarker and Lifestyle study of aging (n = 157), and Alzheimer's Disease Neuroimaging Initiative (n = 356).ResultsWithin samples, cutoffs derived from future Aβ-PET accumulation and PACC decline converged on the same inflection point, beyond which trajectories diverged from normal. Across samples, optimal cutoffs fell within a short range (Centiloid 15-18.5).DiscussionThese optimized thresholds can help to inform future research and clinical trials targeting early Aβ. Threshold convergence raises the possibility of contemporaneous early changes in Aβ and cognition.Classification of EvidenceThis study provides Class II evidence that among clinically normal individuals a specific Aβ-PET threshold is predictive of cognitive decline.

Original languageEnglish (US)
Pages (from-to)E619-E631
Issue number4
StatePublished - Jan 26 2021

ASJC Scopus subject areas

  • Clinical Neurology


Dive into the research topics of 'Defining the Lowest Threshold for Amyloid-PET to Predict Future Cognitive Decline and Amyloid Accumulation'. Together they form a unique fingerprint.

Cite this