what option can I use in afni_proc.py (in resting state and using reml) to get as additional output how much variance was removed by the noise model (including the motion regressors, tissue based regressors, drift etc). I would like to evaluate how much variance was removed for each subjects depending on the no of nuisance regressors I use.
Hello Gang,
thank you very much for your reply. I tried your suggestion but it still does not output the R^2 stats. Maybe -rout does not output the R^2 stats for the error in resting state? Below is the script that I used:
The only bucket datasets that I get are: TSNR.P1002 and stats.P1002_REMLvar. The last one contains the reml variance parameters. Do you have any other suggestion that I can try?
Maybe -rout does not output the R^2 stats for the error in resting state?
Indeed by default R^2 would not be provided for those regressors of no interest. Conceptually at least two issues seem to be involved: 1) remove the default option -nobout from the 3dDeconvolve command, and 2) bundle those regressors of no interest so that you would obtain the overall R^2. I’m not well-versed as to how to address the issues within the framework of afni_proc.py. Hope someone else will chip in and provide a solution.
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