On 1. Jul 2024, at 14:03, Dan Levitas <djlevitas208@gmail.com> wrote:

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 <djlevitas208@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. <MREUTER@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 <djlevitas208@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

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