Fig. 3

Brain pattern (BP) classification/reconstruction using VAE, PPCA, and sVAE models: (A) the Pearson correlation coefficient of BP-wise averaged dFCs with respect to the model parameters, (B) the balanced accuracy (BAcc) between the ground truth and the matched predicted label, (C) the proposed consensus metric \(\mathcal {M}\), and (D) the Pearson correlation coefficient recorded for each BP. In plots A, B, and C, the selected \(\hbox {VAE}_2\) is highlighted by a red bounding box. The dashed lines represent the trends obtained for each latent space dimension across the considered models.