Fmriprep with ICA-AROMA practices for PPI analysis

[jdkent]

Hi mri!

The first solution you reference:

@jdkent

regressing post denoising

In this scenario, the data will be made completely orthogonal to WM/CSF, That is, there will be no shared variance between the residual data and WM/CSF.

pro(?): the data will be completely independent of the WM/CSF signal.
con: you have to recalculate the WM/CSF measures (and you probably do not want to extract them from a smoothed image)

means you recalculate the WM/CSF signal from the post-denoised data (fmriprep has the WM/CSF signal from the pre-denoised data). That is also the reasoning for @oesteban’s comment.

Does that make sense?
Sorry if that was not very clear before.

• James