The built-in Intensity normalization is a constant multiplied to each run's
data based on the per-run mean, right? It thus normalizes global intensity
variation across subjects, but not regional, right? Whereas my approach
would normalize regional variation in signal strength (good), at the risk
Rescaling by the voxel mean will mess up the intensity normalization.
Try making your analysis (mkanalysis-sess) with -no-inorm and see if the
results are more consistent. They will not be exact because the raw
mean time course is not used to create the cespct. Rather it is the
regression
Hi all,
I ran an analysis on data after dividing each voxel mean across the run,
and then multiplying by 100. (My intuition was that the percent signal
change should be more consistent across varying SNR that the non-normalized
betas).
I had naively expected ces.nii and cespct.nii to be
