Hello,

I am generating individual trial-wise beta estimates for functional connectivity analysis (a la Rissman, 2004) but I am interested in estimating response based on Mumford 2012. Thus, I have been using 3dLSS. My question is:

How do censored TRs affect the trial-wise beta estimate output from 3dLSS?

I am generating my design matrix with exactly one -stim_times_IM in Deconvolve. I also manually censored the first 30 TRs of my time series (obviously for testing purposes). I then take this design matrix and data to 3dLSS.

My results from censoring the first 30 TRs look "reasonable" (as in no 0s or extreme values). I am curious how these trial betas are estimated given that I specified the TRs as censored.

Thanks!

Dustin