Hi,
When using glm_fit with an input volume that has many voxels with a 0
value (due to a previous thresholding for quality reasons), and the voxel
removes might be distributed randomly across our population, is there a
way not to take into account those voxels in the glm_fit model? I saw the
--pune flag, but I am not sure if it is the one to use.
Thanks
Celine
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