ALT After registration to a symmetrical template, hemispheres are aligned to each other by flipping the left onto the right. Hemispheres are fed into a machine learning classifier, which learns to distinguish left from right. Subsequent feature selection identifies the features that were imporant for correct classification. The framework is applicable in low-dimensional (e.g. components) and high-dimensional (e.g. voxelwise) space.