Hi Randomise experts,

I'm running randomise for a single group of 470+ FA skeletonised images, accounting for covariates of age, sex, education, race, etc. And I'm wondering if everything makes sense as follows?

I used Text2Vest to generate the design matrix and contrast, because it took long to generate them in Glm GUI.

The design matrix looks like:

/NumWaves 7
/NumPoints 474
/Matrix
4.6598    0    1    -2    -0.0221    0    0.44528
5.9247    0    1    1    0.46686    0    0.51347
4.7365    1    1    -3    -0.38322    0    -0.41184
4.8542    0    1    1    0.22417    0    0.44448
-5.9877    0    2    1    0.13036    0    1.09629
...

The column with all zeros corresponded to the voxelwise EV.

The contrast looks like:

/NumWaves 7
/NumPoints 2
/Matrix
0 0 0 0 0 0 1
0 0 0 0 0 0 -1

The randomise options used:

 -i all_FA_skeletonised.nii.gz -o fa -D -m mean_FA_skeleton_mask.nii.gz -d design.mat -t design.con --T2 --uncorrp --vxl=6 --vxf=all_wmh_skeletonised.nii.gz -n 200

Any suggestion would be appreciated.

Shengwei

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