Figure 8.

Single slice (at z = 6 mm) of subject informative region maps (IRMs). (A) depicts the results for subject 1, (B) shows the results for subject 2, and (C) shows the results for subject 3. IRMs obtained from single subject results with SCIM methods (first column), Permutation test (second column) and binomial test(third column) for three different subjects at a significance level p_SCIM < 0.05, p_rp < 0.05, and p_bin < 0.05, without correction for multiple comparison (red) and with FDR correction (orange), respectively. For subjects 2 and 3, no informative voxels can be found when FDR correction is applied. For the SCIM method and binomial method, maps obtained with FDR correction exhibit slightly smaller informative regions. Right panels show the results' distribution across voxels. A histogram of AUC values is presented as bar-plot. A-posteriori probabilities obtained from SCIM analysis (red circles) and p-values obtained from permutation test (black dots) and binomial test (dark red dashed line) are displayed, as well as underlying assumed Null-distributions for the different tests, SCIM method (dark blue line) and permutation test with one distribution for a voxel with high (blue), middle (green), and low (red) performance, respectively. For subject 1 the distribution peaks for AUC values lower than 50%, while for the other subjects the maximum is located at chance level AUC = 50%.