Hi Gang!

Thanks for your clear reply.
The only thing, which is not clear to me is question four:
4) I used the '-bucket 0 name' option, because I found the other ones to difficult to understand. How should I look at my data. I have b0 and b1 subbriks and corresponding t-statistics. There is also a R2 and F-stat subbrik. It says in the manual that b0 and b1 would not so much differ. Only the colorizing would change.

You replied:
First, the estimate of b0 and that of b1 are usually different, as you have noticed, because one is the constant and other is the slope of the linear dependence relationship. As people are mostly not interested in the inference of intercept b0, no statistic values are provided for b0 in AFNI output; Instead the statistic values of the linear regression, same thing as the ones for slope estimate b1, are given in the dataset.

My question:
I am not sure, if I understood you right? AFNI is putting out a t-statistic for b0 and another one for b1 + a F-stat. When I look at b0 (intensity + corresponding t-stat), regions are lightening up, which also showed up in my mixed effects model (3dANOVA3) with reasonable p-values. Anatomically and functionally they would make sense to me. However, as you noted it is the intercept and I do not really know, what this could mean? When I look at b1+corresponding t-stat I get less activation, lower p-values and most important of all at location, which look more than artifacts and not like results I should take serious.
So, I am puzzeled. Could you give me some more advice.

Thanks,

Lukas