Hello,
TSNR is the temporal signal-to-noise ratio. And as signal
is good and noise is bad, it is desirable for this to be a
higher ratio. If you look closely at the @ss_review_basic
output (in out.ss_review.txt), you will probably an inverse
relationship between TSNR and average censored motion (which
is to say the average subject motion, ignoring any time
points that were censored).
So subject motion, that which is not censored, will bring
the TSNR down.
In any case, yes, having subjects with higher TSNR should
yield better results.
- rick