Hello,

I am looking to see whether group differences exist within a network using 3dNetCorr. (I included the whole brain correlation as well but I don't think that's what I really want).

I have obtained the .netcc files using:
3dNetCorr -prefix DMN_netcorr -mask anat_mask_rs+tlrc -inset NEW_MASK_warp2std+tlrc -in_rois DMN_net_rs.nii -ts_out -ts_label -ts_wb_corr

Then, I tried: fat_mat_sel.py -m DMN_netcorr_000.netcc -P 'CC' -A 1 -B 1 -T -o (as per an old post answer because to be honest, I'm not entirely sure how to use this... but I was trying to figure it out)... but then I got this error:

Traceback (most recent call last):
File "/home/abin/fat_mat_sel.py", line 5, in <module>
import lib_fat_plot_sel as PS
File "/home/abin/lib_fat_plot_sel.py", line 17, in <module>
from mpl_toolkits.axes_grid1 import make_axes_locatable
ImportError: No module named axes_grid1

Once I figure this out, I would like to compare the correlations on a group level and look at between group differences. Could you please give me some feedback on the error and the best way to do the next steps? I suppose I would use the -l (list) option to include each animal's .netcorr dataset but then, can I compare differences between the matrices? Sorry for the juvenile questions - this is all new to me.

Thanks!