I have run the preprocessing using fMRIPrep on my MRI and fMRI data. Then I would like to run the first and second level analysis (univariate analysis and MVPA) using nilearn. I learned that I need to use prewhitening to make sure that our data behaves according to the assumptions of the Gauss-Markov theorem. I know fsl, spm, and afni do this. It seems like that nilearn does not achieve this automatically if I understand correctly.
I wonder which code I should use to do the prewhitening using nilearn.
Many thanks for your help.