External Email - Use Caution Dear Freesurfers,
I have a simple design with patients and controls and would like to find regions showing group differences in cortical volume and thickness. I also remove the effect of age, sex and ICV. Running the GLM group analysis by the book I get a few clusters showing significant differences in intercept. 1. I interpret this like patients have smaller “predicted” regional volume at age 0, or at mean age of the group (if demeaned age covariate) compared to controls. How can this finding be described in a more clinically meaningful way? 2. Related to the above, how do I visualize what is going on in the significant clusters? The extracted values from these clusters (ocn.dat) show no group differences in volume when displaying the group means in SPSS (using either age/sex/ICV adjusted or non-adjusted values). Maybe I am misunderstanding something, how can there be differences in intercept but no differences between group means? (slopes not significantly different). How do I best describe and visualize this group difference in a paper? Julian _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline <https://www.massgeneralbrigham.org/complianceline> . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.