Hi Rick,
I tried to use ADHD200 Peking University dataset which is publicly released but i couldn't perform pre-process properly i think and i used uber_subject.py for afni_proc.py script generating i copied the warnings and error from output.proc to here. For other subjects it didn't give any fatal errors. When ı copied your code for censor motion count it gives 83 for 0.2.
43 -[7m*+ WARNING:[0m Input dataset is not 3D+time; assuming TR=1.0
set ovals = ( `1d_tool.py -set_run_lengths $tr_counts
-index_to_run_tr $minindex` )
82-[7m*+ WARNING:[0m dataset is already aligned in time!
83-[7m*+ WARNING:[0m ==>> output dataset is just a copy of input dataset
242-*********** Warning *************
Dataset centers are 42.224525 mm
apart. If registration fails, or if
parts of the original anatomy gets
cropped, try adding option
-init_xform AUTO_CENTER
to your @auto_tlrc command.
++ Processing AFNI dataset __ats_tmp___upad40_dset_ns+orig
308-[7m*+ WARNING:[0m Changing the space of an ORIG view dataset may cause confusion!
309-[7m*+ WARNING:[0m NIFTI copies will be interpreted as TLRC view (not TLRC space).
310-[7m*+ WARNING:[0m Consider changing the view of the dataset to TLRC view also
356-[7m*+ WARNING:[0m input 'a' is not used in the expression
[7m** ERROR:[0m *** Censoring has made regression impossible :( ***
[7m** FATAL ERROR:[0m 3dDeconvolve dies: Insufficient data (148) for estimating 163 parameters
** Program compile date = Jul 6 2018
