Figure 2.
Comparison of traditional (blue) to cognitive modeling (red) performance in Experiments 1–3. ROC curves (top) frequency of presence in the top-30 AUCs in the n-choose-4 combinatorial analyses (bottom) are shown. A) Comparison of age group predictions showing no significant difference between traditional measures and cognitive model-based measures. LDI emerges as the most frequent metric in the top third of AUCs. B) Metrics derived from cognitive modeling better predict performance high- vs. low- performing older adults. The gist-based recognition memory signal metric (ρ) is the predominant metric in the n-choose-four analysis for predictive accuracy. C) Cognitive modeling metrics were superior at identifying healthy vs. MCI. Within the n-choose-four analysis, γO is the leading metrics for MCI prediction.