Hi Bruce,
I had a few questions concerning the mris_classify_thickness algorithm that you wrote: 1) Are there any other options (i.e. other flags) that can be specified in the mris_classify_thickness -o <output subject> [options] <hemi> <surf> <curv> <c1_subject1> <c1_subject2>... : <c2_subject1> <c2_subject2>... commandline? Because in the description of the command there is nothing reported under the "valid options are:" I believe I saw some other options reported in the code of the specific function, but I wasn't sure whether they could be used.
2) Are the two classes defined as two different groups of subjects such as male/female or healthy/disease?
3) I ran the command on 4 subjects (class1: 2 diseased subj, class2: 2 healthy subjs) and the result was 2 data files with 202 pairs of cortical thickness values each. However, I'm not really sure what those values represent. Are they vertex-wise thickness values that correlate somehow between <c1_subject1> <c1_subject2>, and <c2_subject1> <c2_subject2>, respectively, or are they clustered-wise thickness values?
4) Are there any other outputs besides those two data files that the command can come up with?
Thanks in advance for all your help! Panos