Dear MRtrix3 experts,
Hello, I am currently studying the structural network within a disease group and its correlated relationship with the behavioral score.
I decided to run TFNBS to avoid arbitrariness in cluster forming threshold selection. However, since it is an edge-wise analysis, unlike NBS, it shows many single edges (which is obvious) as significant.
I tried to identify the hub region using properties of graph theory (degree, betweenness centrality, etc) within the significant nodes, but few hub regions are quite hard to interpret.
I want to narrow down the network to specify few nodes to be significant.
Is there any great approach to identify more significant nodes/edges for edge-wise analysis?
All discussion and comments are welcomed!