Journal article
Inferring neural signalling directionality from undirected structural connectomes
Caio Seguin, Adeel Razi, Andrew Zalesky
NATURE COMMUNICATIONS | NATURE PUBLISHING GROUP | Published : 2019
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 ..
View full abstractRelated Projects (1)
Grants
Awarded by Australian Research Council DECRA Fellowship
Awarded by Australian National Health and Medical Research Council (NHMRC)
Funding Acknowledgements
Fly, mouse, and macaque icons in Fig. 6 and Supplementary Fig. 14 were obtained from the Mind the Graph platform (https://mindthegraph.com/). Human data were provided by the Human Connectome Project, WU-Minn Consortium (1U54MH091657; Principal Investigators David Van Essen and Kamil Ugurbil) funded by the 16 National Institutes of Health (NIH) institutes and centers that support the NIH Blueprint for Neuroscience Research, and by the McDonnell Center for Systems Neuroscience at Washington University. C.S. is funded by a Melbourne Research Scholarship. A.R. is funded by the Australian Research Council DECRA Fellowship (Ref: DE170100128). A.Z. is supported by the Australian National Health and Medical Research Council (NHMRC) Senior Research Fellowship B (1136649).