Figure 3. Effect Size, Predictive Utility, and Distributional Overlap of the Best Modality.

Distributional overlap, effect size (η²), and classification performance for the single variable displaying the largest effect across all neuroimaging modalities (resting-state functional magnetic resonance imaging [fMRI] connectivity between a region of the right peripheral visual network and a region of the somatomotor network). A, Histogram with Gaussian kernel density estimation as a solid line and box plot of the confound-corrected values of the resting-state region of interest (ROI) to ROI connectivity displaying the largest effect. Middle line of the box plot represents the median value; the end of the boxes represents the lower and upper quartile. The boundaries of the whiskers are found within 1.5 IQR. B, Partial η² analysis of variance (ANOVA) effect size for the strongest resting-state connectivity. Light blue indicates the upper bound of a bootstrapped 95% CI. C, Receiver operating characteristic (ROC) curve for logistic regression classification based on the single variable displaying the largest effect. AUROC indicates area under the ROC curve; HC, healthy control; MDD, major depressive disorder.