Illustrating problems/value of good site effect correction

[mnarayan]

Given the nice set of QA measures available in the ABIDE data

Idea: I think it would be interesting to compare site-to-site differences in different QA measures --- as an index of site effects stemming from physiological/nuisance artifiacts.

http://preprocessed-connectomes-project.org/abide/quality_assessment.html

If we have these, we should be able to compare if better site effect correction reduces how much subject to subject global connectivity is correlated with these artifiacts. [As a very elementary thing to check/illustrate with a few lines of code]

From tutorial/pedagogial perspective: This both serves as an important motivation/need for site effect correction in multi-site studies as well as index of reducing such confounds. Very like how powers does pure motion to connectivity correlation.