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.
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