External Email - Use Caution Hi Martin,
I wanted to ping this thread again, to confirm that my proposed mass-univariate workflow using the subcortical segmented ROIs is appropriate for the LME longitudinal analysis. Thanks again. Dan On Thu, Jun 27, 2024 at 5:44 AM Dan Levitas <djlevitas...@gmail.com> wrote: > Hi Martin, > > Thanks for your reply, it's good to know that the mass-univariate approach > is still appropriate here. > > Since the aseg segmentations are volumetric, can I still use the > *mris_preproc* and *mri_surf2surf* functions? If so, would the > mri_preproc function look something like *mri_preproc --qdec-long > /path/to/asegstats2table.long.table --target fsaverage --hemi rh --meas > volume --out output_dir/rh.volume.mgh* > > If not, and I need separate functions, would *mri_surf2surf* be replaced > by *mri_vol2surf*? > > > > > On Thu, Jun 27, 2024 at 4:51 AM Reuter, Martin,Ph.D. < > mreu...@mgh.harvard.edu> wrote: > >> Hi Dan, >> >> You could do either one. I would recommend the mass univariate for >> multiple independent test with the same design. >> >> Best, Martin >> >> On 26. Jun 2024, at 17:20, Dan Levitas <djlevitas...@gmail.com> wrote: >> >> >> I recently performed an LME longitudinal mass-univariate (surface) >> analysis and am now trying to do something similar, but with subcortical >> (aseg) ROIs instead. >> >> I first created an aseg table with the following command: >> >> >> >> >> >> * asegstats2table \ --sd $subjects_dir \ --qdec-long >> /path/to/long.qdec.table.dat \ --segno 4 10 11 12 17 18 26 43 49 50 51 53 >> 54 58 251 253 255 \ --stats aseg.stats \ --tablefile $output_file* >> >> >> The LME tutorial ( >> https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels) >> provides information and examples of both a univariate and mass-univariate >> approach. While univariate seems most appropriate in this case, the example >> details design matrix setup and testing of a single ROI (hippocampus), >> whereas I would like to assess several subcortical ROIs. >> >> Would I simply create a loop structure to set up design matrices for each >> ROI (both hemispheres) and test them individually, or can I perform a >> mass-univariate approach to assess all ROIs at once? >> >> Thanks, >> >> Dan >> >> >> _______________________________________________ >> Freesurfer mailing list >> 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 >> 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> . >> >
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