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Dear Steve, Earlier I posted this message to the list, but did not get a response. Can you inform me on this issue? We are attempting to remove a 0.41 Hz noise artifact from our 4D BOLD fMRI data. The model that describes the artifact is: EV1: 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0… EV2: 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0….. EV3: 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0….. We used the above design for the <confound.mat> used in the commandline script “unconfound” and applied the script to all our data. Is this a correct approach to remove the noise-artifact? On inspection of our unconfounded data we seem to have succeeded to a large extent. Does anyone have experience with the effects of this script on the data? Is there a downside to this approach we should be aware of? With kind regards, Jasper Looijestijn.