Hi Ann,

Thank you for the X-matrix. The simple answer is that this seems fine.

In more detail, there are 2 points to ponder, one including our examples that I have not bothered to be picky about.

1. When including a high-pass filter (the 0.1 lower bound on your -regress_bandpass option), it is probably sufficient to include polorts up to 2. From 3 on up, they start to be well fit by the bandpass terms (causing higher condition numbers). So in your case, consider including "-regress_polort 2". I will be more careful in examples of that, and may even have afni_proc.py warn about it. We'll see...

2. The A/P motion terms for each run show a clear and consistent drift (possibly due to slowly sinking into a pillow). Those are very highly correlated with the linear polort drift terms.

Both of those contribute to the high condition numbers that 3dDeconvolve is whining about.
Neither is very concerning for the analysis.

Does that seem reasonable?

- rick



Edited 1 time(s). Last edit at 03/04/2021 06:49PM by rick reynolds.