Dear AFNI experts,

I am wonder what is the difference between these two examples of censor motion using 1d_too.py.

What is different when you use ‘-censor_motion’ or ‘-moderate_mask’?

```
a. general example ~3~
1d_tool.py -infile motion.1D -set_nruns 9 \
-derivative -censor_prev_TR \
-collapse_cols euclidean_norm \
-moderate_mask -1.2 1.2 \
-show_censor_count \
-write_censor subjA_censor.1D \
-write_CENSORTR subjA_CENSORTR.txt
b. using -censor_motion ~3~
The -censor_motion option is available, which implies '-derivative',
'-collapse_cols euclidean_norm', 'moderate_mask -LIMIT LIMIT', and the
prefix for '-write_censor' and '-write_CENSORTR' output files. This
option will also result in subjA_enorm.1D being written, which is the
euclidean norm of the derivative, before the extreme mask is applied.
1d_tool.py -infile motion.1D -set_nruns 9 \
-show_censor_count \
-censor_motion 1.2 subjA \
-censor_prev_TR
```

Best regards,

Karel