The two maps represent the map space (upper image), which depicts the pairwise physical distance (i.e., standardized Euclidean distance) between the voxels of the results map, and the feature space (lower image), which depicts the distance (i.e., standardized Euclidean distance) between the goodness-of-fit (R2) of the first three kinematic PCs in each voxel. For further details, see Materials and methods and
Yarrow et al., 2014. There was a significant similarity between the two spaces, assessed with the permutation test described in the Methods (C=0.192; p-value=0.0383). Voxels were reordered accordingly to their physical distance to improve readability of the two maps.