Hi all,

At the beginning, I would like to thank you for this toolbox. Since I am beginner in fMRI studies and FC and I try to understand how ART works, therefore I have some questions:

1- Why ART make a single regressor for each scan you want to remove ( why not make a single regressor for all scans you want to remove, like movement parameters)?

2- How CONN uses the ART file "art regression outliers and movement*.mat" to remove the effect of movement parameters and bad scans (volumes)? It is not clear for me what CONN do exactly. I know, CONN remove the effect of movement and bad scans form whole brain, but How?

3- If I need to use SPM, I will put ART file "art_regression_outliers_and _movement_*.mat" as regressors in GLM, here ART will include a single regressor for each scan that I want to remove. Then, SPM will estimate a beta value for that regressor ( beta value for bad scan). Would you clarify how this will effect about the results (theory of GLM), please?


Regards,
Arkan