Prospective cognitive decline (Preclinical Alzheimer's Cognitive Composite performance expressed in SD per year) was predicted using flortaucipir (FTP) PET biomarkers in linear mixed-effects models with a random intercept and slope per participant. Analyses were split between the low–Pittsburgh compound B (PiB) group (blue) and high-PiB group (red). Biomarkers included FTP PET partial volume-corrected (PVC) standard uptake value ratio (SUVr) values in the (A) entorhinal cortex, (B) inferior temporal, (C) isthmus cingulate, and (D) hippocampus. Interactions between PiB group and FTP PET biomarkers are included on the top of each graph. Models were adjusted for age, sex, and education. A Bonferroni-corrected p value was applied (13 biomarkers, p < 0.0038), and model outputs that survived the correction are in bold.