Hi AFNI friends,
I was trying to use uber_subject.py for running my analysis and I ran into a problem with volume registration.
uber_subject.py offers three options: volreg base string
(first/third/last) . However, I don't know how to apply this to my specific case because I have 6 functional run plus one structural run. The structural one is in the middle, that is, i have 3 functional runs, then one structural run, then the remaining 3 functional run. Each of my functional run TR = 232.
in conventional afni_proc.py scripting, i can just do this----> -volreg_base_dset 'MyFileName+orig[231]', but I don't know how to use this in uber_subject.py... any ideas?
Second question:
I do NOT need AFNI to perform skull stripping for me in uber_subject.py because I do this using fsl_anat in FSL beforehand and would like to feed the skull stripped image in uber_subject.py. How can I do this in uber_subject.py?
In conventional afni_proc.py scripting, I can just do this ----> -copy_anat MyFileName_T1_biascorr_brain+orig (FSL gives "T1_biascorr_brain+orig" by defaulyt, i think. ) -anat_has_skull no
Can someone answer my two questions?
Thank you!
Kitty