Figure 4. ROC Curves in MRI-Negative TLE.
Receiver operating characteristic (ROC) curves based on lateralization posterior probabilities from the trained linear discriminant analysis model are shown for the training and validation cohorts. The x- and y-axes represent the lateralization false positive rate (FPR) and true positive rate (TPR), respectively. Dotted blue lines represent individual curves drawn from each validation repetition; thick lines (green, columnar volume; purple, T2-weighted intensity; orange, fluid-attenuated inversion recovery [FLAIR]/T1 intensity; red, T2 + FLAIR/T1) show average ROC curves across iterations; dashed black lines correspond to a random classifier. Average area under the curve (AUC) is indicated. Right-most panels show the overlay of all curves for each cohort to facilitate comparisons.