Prospective cognitive decline (Preclinical Alzheimer's Cognitive Composite performance expressed in SD per year) was predicted using various MRI 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). MRI biomarkers used to predict cognitive decline were thickness measures in millimeters in the (A) entorhinal cortex, (B) inferior temporal, and (C) isthmus cingulate, as well as (D) hippocampal volume (cubic millimeters). Interactions between PiB group and MRI 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 bolded.