How can I regress out nuisance regressors (WM, CSF signal, motion and global mean outliers) without having a model or main EVs because my data is a 6min resting state scan? I want to regress out the unwanted signal and then have a new clean filtered_func_data.nii.gz to use for time series extraction of ROIs. As I understood from the literature regressing out nuisance as a preliminary step can be done, but HOW it is done especially with FSL I couldnt figure out.
I have extracted timeseries from CSF and WM and I have ART (Artifact Detection Tool) output of motion and global mean outliers as separate txt files. I have combined them into one txt file with all nuisance regressors (first two columns CSF and WM and ART output after that) which I tried uploading under confound EVs, but I didnt know what to do about the model set up and all the other options.
A step by step guidance through setting up the regression would be much appreciated.
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