Dear Alfonso and CONN users,

I have used CONN v.16 to perform standard seed-based rs-FC analyses, using the default preprocessing pipeline for volume-based analyses on MNI-space.

A reviewer has recently asked us the following questions regarding the ART-based scrubbing: which steps of ART were implemented (e.g., spike, slice, volume correction)? what % of the data was interpolated? were there any participants that were discarded entirely, based on what threshold?

If I understand correctly, ART as implemented in CONN is only used to identify outliers (with thresholds for subject motion and a global-signal Z value), and then, these identified time-points are used as a first-level nuisance covariate in order to exclude them from subsequent analysis. They are not removed from the original time-series, nor are they interpolated. 

Am I missing something? is my description correct, and are there any other steps of the ART procedure which are being used in the default preprocessing pipeline? 

Thank you!
Zohar