Hello MRtrix experts,
I am currently investigating structural changes in aging (comparing a young cohort with an older cohort) with the one eventual goal of exploring relationships between structural changes and functional/behavioral changes. My question is, is there a single meaningful value to summarize structural connectivity for each subject that can be derived from MRtrix processes? For example, an analog to global FA. Previous literature in aging tends to use global FA to correlate with other values, but I would like to avoid this metric if possible.
I have generated connectomes for all my subjects, using 10 million streamlines and SIFT2, multiplying my output matrices by individual mu values. Additionally, I am currently working on performing FBA with single tissue data. Any single value that could be calculated for each subject from either of these two processes would be great.