Dear AFNI experts,

After reading the documentation and message board about different
approaches for movement correction/mitigation (including concepts and
calculations) I still have some questions:

1. If I apply enorm censoring, would it be reasonable to also regress
the 6 motion parameters and it's derivatives at the subject level? The
question arises because both options (enorm and motion regression) rely
on motion parameters and using both of them in the same analysis may be
useless.

2. Many studies have used 0.2-0.3 and 0.1-0.15 as framewise displacement
(FD) and DVARS thresholds respectively. However, the literature using
enorm and srms censoring is scarce compared to FD and DVARS. Could you
recommend me threshold values for enorm and srms that you know that work
fine with resting datasets?

3. Would it be appropriate to apply the two types of censoring in the
same study: i) enorm censoring (based on movement parameters) and ii)
srms censoring (based on intensity variations)? If the answer is yes,
should I use the two thresholds simultaneously to remove one specific
volume from further analyses? Are there AFNI functions to detect the
volumes to remove based on the two thresholds (enorm and srms)
simultaneously?

4. If I apply enorm censoring, srms censoring, or both types of
censoring in the same dataset, would it make sense to also add mean
enorm, mean srms, or both mean descriptors as nuisance variables at the
subject level?

Many thanks in advance for your help.

Best regards,
Karel Lopez



Edited 2 time(s). Last edit at 09/02/2020 11:30AM by Karelo.