Network analysis of the human structural connectome including the brainstem
bioRxiv July 22, 2022 Salma Salhi, Youssef Kora, Gisu Ham et al.
A computational graph-theoretic analysis of the human structural connectome, incorporating subcortical structures including the brainstem, finds that the brainstem ranks highest across degree, eigenvector, and betweenness centrality metrics. The averaged connectome was derived from 100 healthy adult subjects using Python DIPY and Nibabel libraries. The results indicate the importance of including the brainstem in structural network analyses and suggest that such network-based methods can inform theories of consciousness, including global workspace theory, integrated information theory, and the thalamocortical loop theory.