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Hi Jordi, This seems a very good case for FSLNets: https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSLNets The main difference is that instead of having independent components (from ICA), you have a set of ROIs. Have a look into the documentation and perhaps consider tweaking it just a little bit, so that you replace the IC maps from your ROIs in the same format. All the best, Anderson On Thu, 25 Oct 2018 at 07:21, Jordi Manuello <[log in to unmask]> wrote: > Thank you Anderson for your kind reply! > > The general approach is now clear to me. > Just to be sure to procede in the right way, what I've got now is the > preprocessed (unfortunately not with FSL tools) resting state of the 197 > subjects, and for each subject the txt with the time course of each ROI and > the related set of maps derived from the seed-voxel correlation. How should > I combine these elements? Do I have to create a single "average" resting > state and then run partial correlation on it, or is more correct to run > partial correlation on each subject and then average the results? > > Thanks a lot for your help! > > Bests, > > Jordi > > ######################################################################## To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1