Fig. 6: Anomaly scores for the SCHZ cohort.
From: Detecting microstructural deviations in individuals with deep diffusion MRI tractometry
a, The autoencoder provides a better discriminating power compared with traditional linear univariate and multivariate approaches with a mean AUC of 0.64 ± 0.06 (bar graph, *P = 1.00 × 10–33, P = 1.05 × 10–5 and P = 1.63 × 10–26, Bonferroni corrected at α = 0.01, two-tailed t-tests for AE–PCA, AE–z and PCA–z, respectively). For illustrative purposes, anomaly scores derived from the autoencoder, PCA and z-score are correlated with the Hopkins anxiety score (shaded area: 95% confidence interval). b, The RISH0 features show higher reconstruction error (100 averages) for the SCHZ than the healthy participants (t = –2.48, P = 0.01, Cohen’s d = 0.47, two-sided t-test; center line, median; box limits, upper and lower quartiles; whiskers, 1.5 × interquartile range; n = 109 healthy participants and n = 43 SCZH, respectively).
