Abstract #1773
A new way of constructing edge weights of a structural connectivity matrix by considering direct and indirect connections of the fiber tracts
Sung-Chieh Liu 1 , Yao-Chia Shih 1 , Yu-Jen Chen 1 , and Wen-Yih Isaac Tseng 1
1
Center for Optoelectronic Biomedicine,
National Taiwan University College of Medicine, Taipei,
Taipei, Taiwan
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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