Structural connectivity reproducibility through multiple acquisitions

In this study, we investigate the reproducibility of connectivity matrices in cortico-cortical connectivity using probabilistic and deterministic streamline tractography. We show that connectivity matrices computed from probabilistic tractography have higher ratio of inter to intra-subject distances than those computed from deterministic tractography. Moreover, it suggests that the connectivity matrices can be used as a tool to compare tractography algorithms in terms reproducibility and subject specificity.