I have some task data (only one run) from a subject that I’ve analyzed using afni_proc. There were three stimulus classes provided. The output of the out.ss_review.redacted.txt has me somewhat perplexed. Below, it clearly states that there were 13 TRs censored per run, but then even farther below that it says that there were 11 2 10 (=23) TRs censored per stimulus.
At most, in the case of one run, I would expect sum(#TRs censored per stim) <= # TRS censored per run, since some TRs to be included in the baseline could also be censored and would not be reflected in #TRs censored per stim. There has to be something amiss somewhere. Any idea where?
subject ID : MDD_1008 AFNI version : AFNI_19.0.09 AFNI package : linux_ubuntu_16_64 TRs removed (per run) : 0 num stim classes provided : 3 final anatomy dset : anat_final.MDD_1008+tlrc.HEAD final stats dset : stats.MDD_1008_REML+tlrc.HEAD final voxel resolution : 2.000000 2.000000 2.000000 motion limit : 0.3 num TRs above mot limit : 3 average motion (per TR) : 0.0486667 average censored motion : 0.0390909 max motion displacement : 2.14551 max censored displacement : 1.86535 outlier limit : 0.2 average outlier frac (TR) : 0.0249277 num TRs above out limit : 10 num runs found : 1 num TRs per run : 254 num TRs per run (applied) : 241 num TRs per run (censored): 13 fraction censored per run : 0.0511811 TRs total (uncensored) : 254 TRs total : 241 degrees of freedom used : 20 degrees of freedom left : 221 TRs censored : 13 censor fraction : 0.051181 num regs of interest : 3 num TRs per stim (orig) : 211 123 125 num TRs censored per stim : 11 2 10 fraction TRs censored : 0.052 0.016 0.080 ave mot per sresp (orig) : 0.044266 0.039016 0.048739 ave mot per sresp (cens) : 0.034599 0.034229 0.032117 TSNR average : 171.687 global correlation (GCOR) : 0.0397436 anat/EPI mask Dice coef : 0.667881 maximum F-stat (masked) : 9.38989 blur estimates (ACF) : 0.849002 2.44407 10.7644 blur estimates (FWHM) : 0 0 0