Hi All,
I’ve been working with OASIS data that has been preprocessed using fMRIPrep and then run through NiLearn using the 36P confound removal strategy. The produced connectomes look a little noisy to me when compared to data from HCP. Any ideas on improving these connectomes?
Many Thanks,
Christopher Fleetwood