This can happen if the label is small and/or you've used a lot of smoothing. It is better to do this kind of thing in fsaverage space rather than moving the labels back to the individual space. If you've run mri_glmfit-sim, then it should have created a table file (something.y.ocn.dat). This file will have a row for each subject and a column for each cluster. The value will be the mean for that subject in that cluster.
On 2/15/19 6:23 AM, Giuliana Klencklen wrote: External Email - Use Caution Hi FS experts, I did group-level, surface-based, vertex-wise analysis for baseline and longitudinal data. I used Qdec and do the same work with the fsgd version (mri_glmfit-sim command) to double-check the data. I created label files with tksurfer for each of the clusters showing a significant between-group difference. Then, I used the following command stream to extract the cortical thickness values for each subject and cluster: mri_label2label, mris_anatomical_stats, and aparcstats2table. E.g., mri_label2label --srcsubject fsaverage --srclabel /home/jagust/gklenck/Long_MRI/lh.ac-baseline-rostralmiddlefrontal.label --trgsubject ${s}_tp1 --trglabel ${s}_tp1/label/lh.ac-baseline-rostralmiddlefrontal.label --hemi lh --regmethod surface mris_anatomical_stats -l lh.ac-baseline-rostralmiddlefrontal.label -t lh.thickness -b -f ${s}_tp1/stats/lh.ac-baseline-rostralmiddlefrontal.stats ${s}_tp1 lh aparcstats2table --subjects ${s}_tp1 --hemi lh --parc ac-baseline-rostralmiddlefrontal --meas thickness --tablefile ${out_dir}/lh.ac-baseline-rostralmiddlefrontal.aparc_stats.txt Subsequently, when I conducted between-group comparisons for each cluster, a couple of clusters (7 out of 16) do not show a significant difference - which does not make sense. This problem seems to appear randomly. Help to the FS archives, I tried to use mri_segstats command but was not able to find a correct combination of arguments. If this is the right track to solve this problem, what combination of arguments should I use? And if this is not, do you have any idea how I can solve this problem? Many thanks in advance. Regards, Giuliana -- Giuliana Klencklen, Ph.D. Helen Wills Neuroscience Institute University of California, Berkeley 118 Barker Hall Berkeley, CA 94720-3190 510-395-0040 giuliana.klenck...@berkeley.edu<mailto:giuliana.klenck...@berkeley.edu> _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer