Hey Dan:

Just wanted to thank you for this. This is truly the clearest and most concise description of any of this data that I've gotten so far. I was able to get an appropriate RetroTS output from your guidance although I'm not exactly sure how useful the regressors will be given the issues with the data you specified.

I mostly just wanted to be able to make informed choices with the data and you've helped me do that I very much appreciate you sharing your knowledge. I would love to hear if anyone had an idea of best practices for physiological data that may be this variable or in instances where 'outliers' or 'finger movement' may be obvious.

Again thank you so much for your great explanation.
Lauren

P.S. I guess I DID have one final question - I understand that in the slibase output of RetroTS you get 13 regressors per slice. When you use these in your proc.py generated code (or in general) do you input the slibase file as-is? Or do you need to change it? In cases of 33 slices 429 "regressors" is a lot but I feel like I'm misunderstanding what this actually does.



Edited 1 time(s). Last edit at 11/27/2018 09:23PM by lhopkins.