Dear all,

I am running afni_proc.py on resting state data and in my regression model I'm specifying motion censoring (i.e "scrubbing" for enorm values exceeding 0.3 mm) and temporal filtering (0.01-0.1 Hz). Unfortunately 3dDeconvolve is failing to run for many of the subjects in my study. I'm aware that this is a consequence of censoring as it decreases the amount of data available to run the regression analysis. I looked at the data, and it seems subjects are failing even when 70% of the data survives (a total of 147 volumes for each subject). I am wondering if this is usual or if I'm doing something incorrect. Is there any other way to get around this? I understand 0.3 mm is actually not much of a stringent limit.

Regards,
George



Edited 1 time(s). Last edit at 10/08/2017 08:03PM by gchahine.