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 -*+ WARNING: 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-*+ WARNING: dataset is already aligned in time!
83-*+ WARNING: ==>> 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-*+ WARNING: Changing the space of an ORIG view dataset may cause confusion!
309-*+ WARNING: NIFTI copies will be interpreted as TLRC view (not TLRC space).
310-*+ WARNING: Consider changing the view of the dataset to TLRC view also

356-*+ WARNING: input 'a' is not used in the expression


** ERROR: *** Censoring has made regression impossible :( ***
** FATAL ERROR: 3dDeconvolve dies: Insufficient data (148) for estimating 163 parameters
** Program compile date = Jul 6 2018