Hello JTang,
Some of the options depend on what type of prepreocessing has already been done to the data. Based on what is in the literature and what my own experiences, I would use 1% sparsity for degree centrality and R>0.6 for LFCD.
I would recommend that you use the same mask for all of the datasets that you compare. That way, degree centrality will have the same max value across datasets.
3dDegreeCentrality -prefix <outputname.nii.gz> -sparsity 1 -mask <maskfilename.nii.gz> <inputfilename>
and for 3dLFCD
3dLFCD -prefix <outputname.nii.gz> -thresh 0.6 -mask <maskfilename.nii.gz> <inputfilename>
Cheers,
Cameron
