Inferring neural signalling directionality from undirected structural connectomes.

ABSTRACT: Neural information flow is inherently directional. To date, investigation of directional communication in the human structural connectome has been precluded by the inability of non-invasive neuroimaging methods to resolve axonal directionality. Here, we demonstrate that decentralized measures of network communication, applied to the undirected topology and geometry of brain networks, can infer putative directions of large-scale neural signalling. We propose the concept of send-receive communication asymmetry to characterize cortical regions as senders, receivers or neutral, based on differences between their incoming and outgoing communication efficiencies. Our results reveal a send-receive cortical hierarchy that recapitulates established organizational gradients differentiating sensory-m

SUBMITTER: Seguin C 

PROVIDER: S-EPMC6753104 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature