In the documentation for
nilearn.signal.clean (http://nilearn.github.io/modules/generated/nilearn.signal.clean.html), it lists:
This function can do several things on the input signals, in the following order: detrend, standardize, remove confounds, low- and high-pass filter.
I was wondering if anyone knows if
nilearn.signal.clean is doing bandpass filtering simultaneously as confound regression or in a stepwise, modular fashion (as described here recently by Lindquist and colleagues: https://www.biorxiv.org/content/biorxiv/early/2018/09/04/407676.full.pdf).