Hi Seda,

Preprocessing is applied separately to: a) all voxel-level data (each voxel BOLD timeseries within your "primary" dataset, the one defined in the Setup.Functional tab), which will be used for voxel-level anlyses (e.g. as target voxels in seed-based connectivity maps); and b) all ROI-level data (all of the ROIs that you defined in the Setup.ROIs tab, independent of which dataset they are getting their BOLD signals from), which will be used for ROI-level analyses (e.g. as seeds in seed-based connectivity maps, or as ROIs in RRC connectivity matrices)

Hope this helps

Alfonso

Originally posted by sedatasci:

Hi,

I am doing denoising and first level ROI to ROI analysis in CONN on my resting state fMRI images. I preprocessed my whole brain with fmriprep and I processed my cerebellum seperately as well. I input my whole brain as a first data set and cerebellum as a second data set. I also seperate my ROIs as whole brain and cerebellar ROIs. My question is when I do denoising, does it applies to first data set only (since I am only getting denoised whole brain fmri image as an output) or it applies to ROIs and give me denoised signals on my ROIs for both whole brain and cerebellum. Thank you for your help!

Best,

Seda