Hello all,

While reading through your scripts and processing steps, I wondered about the following: given the segmentation and subsequent residualization of noise (i.e., white matter, CSF) out of the 4D resting state data are done at the single-subject level (& in native space), what is the rationale behind smoothing the WM & CSF masks prior to extracting their averaged timeseries?

A more general question in those regards would be-- why smoothing while working at the single subject level.

Thanks much for your feedback,

R.