I am having trouble understanding the importance of mu as can be estimated by sift2. I spend some time studying formula 2 and 4 in Smith et al., Neuroimage, but with no avail. Why is this a fixed coefficient for every dataset?
In my dataset, mu values of patients (n=30) are significantly lower than in controls (n=30), so that seem to indicate that using seed-dynamic in tckgen, some alterations are already visible in this value alone.
I am aware that I will have to multiply resulting connectomes with mu, however I am struggeling to understand why this is neccessary.
Maybe you could point me into the right direction? that would be appreciated!
PS I am using single-shell DTI data b=0/1500, 64 directions, SS3T, iFOD2, -seed dynamic and sift2.