Closed LeonDLotter closed 2 months ago
Thanks for the idea @LeonDLotter. I'll discuss it with the rest of the team. I can't guarantee that we'll support this, but if we do, then we'll need citations for each strategy you want supported. Preferably from papers that have directly benchmarked these strategies against others.
Sorry for the delay in responding @LeonDLotter. I spoke with @sattertt and @mattcieslak, and I think we have a good way to support what you want without adding more options to XCP-D. Basically, we're going to allow config files that list the columns to use, so users can choose whatever they want.
Hi @tsalo, thanks so much for considering my request and apologies also from my side for the late response. Your proposed solution seems very sensible and will surely fit my use cases. Thanks a lot!
Summary
It would be great to have the option to run "27P" and "36P" confound regression without global signal regressors. I.e.:
27P-nogsr
or26P
: 24 motion parameters and derivatives + WM + CSF36P-nogsr
or32P
: 24 motion parameters and derivatives + 4 WM regressors + 4 CSF regressorsAdditional details
Next steps
I admit that I did not look deep into your code. However, adding...
...to xcp_d/utils/confounds: load_confound_matrix() plus some higher-level adjustments could suffice?
Thanks and thank you a lot for your great work!