Classification accuracies (and SEMs) for dissociating between the three shape categories used in this experiment (i.e., rectangles, ellipses, and triangles), within our three ROIs and combinations thereof. A leave-one-run-out cross-validation procedure on the eight miniblocks of the separate functional localizer run revealed that the compound occipital–parietal ROI, consisting of the occipital and parietal ROIs, yielded the highest classification accuracies. This was also the only ROI in which each individual classification of shape pairs was above chance. Hence, we chose this compound occipital–parietal ROI for conducting multivariate analyses on the fMRI data from the experimental runs. *p < 0.05, **p < 0.005. Black stars indicate significant classification for pairs of shape categories (e.g., rectangle vs triangle), whereas white stars indicate significant classification averaged over the three pairs of shape categories.