Figure 3.
Utilization of Cognitive Modeling in the MST for Predicting AD Biomarker Status. A) Both traditional and cognitive modeling-derived metrics can predict Aβ status with cognitive model-based metrics showing superior predictive accuracy. The metric γO is identified as the most frequently occurring metric in the top results from n-choose-four analyses for predicting Aβ status. C) Cognitive modeling, but not traditional measures can successfully predict pTau status. D) The metric γO is again highlighted as the most common metric in the top 30 AUCs from a n-choose-four analysis for predicting pTau status. For panels A-B, Traditional measures are in blue, while cognitive model-based metrics are in red.