Resting State Preprocessing (Graph Theory)

Hi, i have a question regarding the preprocessing of my resting state data for a subsequent investigation based on the graph theory. The common preprocessing procedure for a subsequently graph theory based estimation include the following steps: * despike * slice timing correction * 3D motion correction * Regression with motion parameters * Register to MNI Regarding Aurich et al. (2015) the following steps are also recommended to use: * Band pass filtering (0.01-0.1) * CSF/WM regression * Scrubbing with outliers * (no smoothing and no global regression) Now my question: since FIX (Griffanti et al., 2014; Griffanti et al., 2016) is a preprocessing method, which becomes more and more established, would it be a good idea to include FIX in my preprocessing process to create reliable and valid resting state time series (which I then want to estimate using the graph theory)? I would be pleased with any recommendations! Kind regards, Johanna