Hi experts,

I'm running a resting state analysis closely following example 11 from the proc.py help page. My pipeline consists of running SSwarper, Reconall, and proc.py. The following is my SSwarper command:

\@SSwarper -input ${base_dir}/rawdata/${sid}/anat/*T1w.nii.gz \
	-base MNI152_2009_template_SSW.nii.gz			\
	-subid ${sid}						\
	-odir ${out_dir}/${sid}

After running SSwarper, I get the following warning in a majority of my participants:

^[[7m*+ WARNING:^[[0m olapch_0_cp_ulay.nii[0] scale to shorts mean misfit error = 31.8% -- **** Red Alert ****
 + a) Numerical precision has been lost when truncating results
       from 32-bit floating point to 16-bit integers (shorts).
 + b) Consider writing datasets out in float format.
       In most AFNI programs, use the '-float' option.
 + c) This warning is a new message, but is an old issue
       that arises when storing results in an integer format.
 + d) Don't panic! These messages likely originate in peripheral
       or unimportant voxels. They mean that you must examine your output.
       "Assess the situation and keep a calm head about you,
        because it doesn't do anybody any good to panic."

This misfit error ranges from around 30-75% across participants. A majority of these cases are flagged as "Purple Alert" but some as "Red Alert". Is this a cause for concern? I saw that this topic was previously discussed (https://afni.nimh.nih.gov/afni/community/board/read.php?1,79033,79033) but the links in the discussion bring you back to the main discussion board. Any help would be greatly appreciated. Is there something you would recommend I do to the data prior to input to SSwarper?

AFNI version = Precompiled binary linux_openmp_64: Jul 28 2021 (Version AFNI_21.2.04 'Nerva')
@SSwarper version = 2.51

Thanks!
Jenna