  Human brain activity is often measured using the blood-oxygen-level dependent
(BOLD) signals obtained through functional magnetic resonance imaging (fMRI).
The strength of connectivity between brain regions is then measured as a
Pearson correlation matrix. As the number of brain regions increases, the
dimension of matrix increases. It becomes extremely cumbersome to even
visualize and quantify such weighted complete networks. To remedy the problem,
we propose to embed brain networks onto a sphere, which is a Riemannian
manifold with constant positive curvature. The Matlab code for the spherical
embedding is given in https://github.com/laplcebeltrami/sphericalMDS.
