A new way of constructing edge weights of a structural connectivity matrix by considering direct and indirect connections of the fiber tracts

We presented a novel method to measure structural connectivity between pairs of brain regions based on cortical/subcortical parcellation and tract bundles, and applied the conductance concept to build edge strengths for connectivity matrices, including direct and indirect structural connections. We assessed the reliability of structural connectivity matrices in a group of 20 healthy subjects. We found that the summation of direct and indirect connections built a structural connectivity matrix that involved the majority of the known functional connectivity in the brain. Moreover, the connectivity matrices of individual subjects became highly correlated when all the direct and indirect connections were considered.

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