Hi Bruce,

I see. Thanks for letting me know, I'll definitely check it out!

Best, Panos

Hi Panos

that binary is as old as the hills and there are way, way newer and better things to use (you might check out RvoxM)

cheers Bruce On Thu, 22 May 2014, pfotiad@nmr.mgh.harvard.edu wrote:

...

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 _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer

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