  Motivated by population studies of Diffusion Tensor Imaging, the paper
investigates the use of mean-based and dispersion-based permutation tests to
define and compute the significance of a statistical test for data taking
values on nonlinear manifolds. The paper proposes statistical tests that are
computationally tractable and geometrically sound for Diffusion Tensor Imaging.
