Hi Mrtrix3 Experts,
I am at the end of the analysis pipeline and had a few questions about how to go about statistical analysis of my data.
My project is around looking at recognition memory pathways and how they differ for different BDNF genotypes.
- I have a sample of 61 participants and for the behavioural analysis of our data, we have used Bayesian analysis to see how recollection and familiarity scores differ in the different BDNF genotypes.
- I was wondering if there is any way to pull out the FD, FDC and FC measures from Mrtrix3, so I can do a Bayesian analysis on how pathways (that are significant) differ in different BDNF carriers and if there is a difference in pathways for recollection and familiarity.
I recently bumped across this paper which is “Development of white matter fibre density and morphology over childhood: a longitudinal fixel-based analysis.”, specifically Table 3. Although it is a longitudinal study I think this way of statistical analysis is very interesting and something I would like to do in my study.
As one of the authors in this paper is Robert Smith, I am sure I would get a clear idea about it here on the MRtrix3 community page.