[MODSOCCS] Generate a FC weight function routine for mentalizing network from Neurosynth

[jerdra]

For automated targeting of the mentalizing network we need to define a weight landscape such that stimulation magnitude is maximized for regions in the DMPFC maximally functional connected to the mentalizing network.

To do this the following method is proposed:

1. Use the "Mentalizing Network" Neurosynth map
2. Map onto fs_LR_32k surface using connectome-workbench
3. Mask out DMPFC, and re-compute functional connectivity using average DMPFC-external mentalizing regions
4. Resample functional connectivity map into native mesh space (mri2mesh's surface)
5. Project into _T1fs_nu_conform.nii.gz volume space
6. Perform tetrahedral projection into SimNIBS mesh space using tetrapro python library

The end result should be a list of weights (functional connectivity) corresponding to each node.