use resting state connectivity matrix for model

Use a resting state connectivity matrix (maybe from the human connectome project). Then if you pass in a new nifti you would align the connectivity matrix to a standard brain then re-map row by row to the new coordinates. Then you could return a nifti in that new aligned space (the same space that was passed in).

No files, tests, or entry points are named. Start by locating the model path that accepts a NIfTI and determine how standard-space alignment and coordinate remapping are handled. Done would mean using a resting-state connectivity matrix, remapping it to the input coordinates, and returning a NIfTI in that aligned space.

Written by the indexing model from the issue text.