What preprocessing steps should be done before analyzing a single subject/ single session in GIFT?
Solution: It depends upon what you are doing. Typically the approach used is to preprocess your data the same way you would for, say, an fMRI analysis of another type (e.g. SPM). In this case, the functional data are spatially realigned, normalized (if desired) and smoothed in order to run ICA. However, if your goal is to examine potential artifacts in your data, then you may not want to smooth, since the artifacts can be “hidden” by the smoothing process.
