Hi,
I preprocessed fMRI data using fmriprep which produces CompCor and cosine regressors for each participant. Subsequently, I performed a first-level analysis in SPM12.
I would like to include the first 5 CSF and WM CompCor components, respectively, to account for physiological noise.
In the fMRIprep documentation (Outputs of fMRIPrep — fmriprep version documentation), is says that, as CompCor are calculated before temporal high-pass filtering, all cosine regressors should be included whenever you include CompCor regressors in a first-level design.
However, it also says that you should NOT include cosine regressors when the subsequent analysis includes separate high-pass filtering. As I understand it, high-pass filtering is included by default in SPM12 first-level fMRI analyses.
So my questions: Should I drop the cosine regressors from my GLM and let SPM perform its standard high-pass filtering, or should I include the cosine regressors and switch off high-pass filtering?
Am I misunderstanding something here?
Appreciate any feedback!
(Post is similar to High-pass filtering with fmriprep and FSL - #4 by Mkassaie, but concerning SPM instead of FSL).
Best,
Milena