Hello MRtrix3 community,
Apologies for rudimentary questions from someone new to diffusion analysis!
After using tckgen to perform tractography and then SIFT2 and tck2connectome, the output looks to be an roi x roi matrix populated by the sum of the streamline weights connecting each pair of rois.
Say I was interested in comparing thalamus-prefrontal connectivity in alcoholics vs controls. Is this sum-of-track-weights metric immediately usable for group comparisons? Is it the best indicator available for overall structural connectivity (i.e. capacity of information flow)?
I understand that I could use tcksample and tck2connectome to generate a matrix populated by some other scalar metric like (e.g. mean FA) for each roi x roi pair. I hope this isn’t overly broad, but what scalar metric(s) are currently considered the most biologically relevant, meaningful measures of connection strength?
Basically, if you were reviewing a cross sectional study investigating group differences in connection strength for a pair of ROIs, what metric(s) would you want/expect to see used? Is there a gold standard here?