Hi all,
I typically use afni_proc.py when analyzing resting state data (Example 9 when I don't have physio data, as is the case here), but I'm losing too many degrees of freedom due to band-pass filtering (e.g, losing 487 degrees of freedom out of 554 solely due to band-pass filtering). My resting state scan only consists of an approx. 6-minute-long run with a TR of 650 ms and a multi-band accel. factor of 8. I've never analyzed multi-band data before, so I'm not sure whether I should be analyzing these data differently than I normally would (e.g., skip band-pass filtering). Any ideas?
Thanks!
Laura
