Hello again,

I am now at the stage of running full probabilistic tracking on my data (using script 10 of the FATCAT demo). I am running into the following error:

++ Tracking mode: PROB

++ Number of ROIs in netw[0] = 2
++ No refset labeltable for naming things.
++
++ SEARCHING for files with prefix '/media/larson_buffalo/MRI7/KAward/Conditioning_From_Cluster/K_dti/sub238/DTI/DT*'
++ Obtained 9 prefix-matching files to sort

++ SCALAR FINDINGS:
'FA' 'L1' 'L2' 'L3' 'MD'
++ Done with scalar search, found: 6 parameters (well, including internal RD calc)
--> so will have 17 output data matrices.
++ Calculating RD

++ VECTOR FINDINGS:
'V1' 'V2' 'V3'
++ Effective Monte iterations: 5000. Fraction threshold set: 0.00100
--> Ntrack voxel threshold: 5.
++ Tracking progress count: start ...
[ 10% ] -> 13.77 min
[ 20% ] -> 27.47 min
[ 30% ] -> 41.42 min
[ 40% ] -> 55.22 min
[ 50% ] -> 69.22 min
[ 60% ] -> 83.13 min
[ 70% ] -> 96.72 min
[ 80% ] -> 110.42 min
[ 90% ] -> 124.02 min
[ 100% ] -> 137.50 min
++ Writing output (RPI, same as your input): (null) ...
++ Number of pairwise connections in netw[0] = 0
** FATAL ERROR: Can't overwrite existing dataset './(null)_000_PAIRMAP+orig.HEAD'
** Program compile date = Dec 10 2014
8257.153u 2.311s 2:19:08.79 98.9% 0+0k 726968+9408io 3834pf+0w
-algopt: Command not found.
* I am tracking the basolateral amygdala (which I made a value of 1 in the mask) and the ventromedial prefrontal cortex (which I made a value of 2 on the mask). Then I had an exclusion area within the mask (the centromedial amygdala which I made a value of -1). Does this sound that I did this part correctly? And I ran 3dDWUncert for 1000 iterations......Is that appropriate? I planned to use all the defaults in 3dTrackID.

*Also side note, I plan to also play with ICA components. Would I insert the group averaged ICA components (that help you to identify components) so that everyone will have the exact same rois or do I put in each individual subject components?

Any guidance would be appreciated!!!

Thanks,

Emily