Hello,

You might look at some of the educational resources. There are video recordings of recent bootcamps held at NIH.

The short answers are:
1. The p-value uncorrected isn't enough to get published (and for good reason). There are a few AFNI publications about responsible use of statistics that are relevant (1, 2).

2. Your options are to use FDR (q-values) or Cluster Correction. If you do cluster correction, you don't "care" about q-values.

3. To lower your q-values you need to activate more voxels. If you tell us more about your design we can hypothesize some reasons that it's high... But often people use one of the cluster correction approaches. You can read about the ways of doing so in AFNI in this paper. And also by looking at the help of 3dttest++.



Edited 1 time(s). Last edit at 10/03/2018 11:49AM by Peter Molfese.