Hi all,

I have a few questions about the Denoising Tab: 

1. Confound regressors:
   
   
   
   • What exactly are the confound regressors in CONN?
   
   
   • In the list of confounds, I also see the effects of tasks:
     
     
     
     • Effect of condition A (2P)
     
     
     • Effect of condition B (2P) ...
     
     
     
     
   
   
   • Do I need to include the effects of task conditions, or should I delete them? In a different program, I run regressions without task effects, since those are the conditions of interest.
   
   
   • What does the number in brackets (e.g. “2P”) mean?
   
   
   
   
   
2. "BOLD % variance explained by" (with preview brain image):
   
   
   
   • Under the preview brain, there is a threshold. In a CONN tutorial, "0.25" was used. What does this value mean, and what threshold is typically chosen?
   
   
   
   
   

Thanks in advance!