I am trying to compute statistics on tracts generated from the HCP data-set. I am still planning my protocol but the plan is to track in native space (the space that the HCP diffusion data is in). I then want to compute some statistics for the tracts generated from each seed region. The problem is that since the individual brains are of different volumes, I would ideally need to do some normalization before computing any statistics.
Probably the best way would be to warp the tracts generated in native space to MNI space then compute the statistics. Is there a standard or recommended way of doing this with the HCP data?