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Hi, How can I build the csv file that contains the confounds to be remove for rs fmri analysis? I want to run this nilearn function and I need a a csv with time points as rows and the features to regress in the columns, I assume I need csf, wm and motion parameters. I previously run fsl_anat so I have the T1 segmented. nilearn.signal.clean(signals, sessions=None, detrend=True, standardize=True, confounds=None, low_pass=None, high_pass=None, t_r=2.5, ensure_finite=False) ######################################################################## To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1