Dear DTI experts,
I am trying to understand how to interpret tract length & volume
measurements that TRACULA provides. For example, let’s say a clinical
population differs from a control group in mean FA of a particular
tract, and tract length & volume are comparable across the 2 groups.
I think
Hi Fred - As with any probabilistic method, "volume" here is a measure of
the spread of the probability distribution of the pathway (i.e. of
path.pd.nii.gz), so it can be interpreted as the amount of uncertainty in
the data. A more spread out distribution means more uncertainty, a tighter
dis
