ArticleNature communications2019
Inferring neural signalling directionality from undirected structural connectomes.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- State-dependent signal flow hierarchy in the human cerebral cortex.Nature neuroscience · 2026Article
- Directed cortico-limbic dialogue in the human brain.Nature communications · 2026Article
- Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain.Network neuroscience (Cambridge, Mass.) · 2026Article
- Directed connectomes across species reveal conserved and divergent pathways of neural signaling.bioRxiv : the preprint server for biology · 2025Article
- Endothelial Cell Organization Drives Distinct Agonist-Specific CaActa physiologica (Oxford, England) · 2025Article
- Mirror effect of genomic deletions and duplications on cognitive ability across the human cerebral cortex.Research square · 2025Article
- Mirror effect of genomic deletions and duplications on cognitive ability across the human cerebral cortex.bioRxiv : the preprint server for biology · 2025Article
- Simultaneously determining regional heterogeneity and connection directionality from neural activity and symmetric connection.PLoS computational biology · 2025Article
- Connectome-constrained ligand-receptor interaction analysis for understanding brain network communication.Nature communications · 2025Article
- Benchmarking methods for mapping functional connectivity in the brain.Nature methods · 2025Article
- Structural network communication differences in drug-naive depressed adolescents with non-suicidal self-injury and suicide attempts.World journal of psychiatry · 2025Article
- Article
- Stimulation mapping and whole-brain modeling reveal gradients of excitability and recurrence in cortical networks.Nature communications · 2025Article
- Exploring the transmission of cognitive task information through optimal brain pathways.PLoS computational biology · 2025Article
- Structural connectome manifold changes related to body mass index and their associations with eating psychopathology.NeuroImage. Clinical · 2025Article
- Structurally informed models of directed brain connectivity.Nature reviews. Neuroscience · 2025Review
- A network control theory pipeline for studying the dynamics of the structural connectome.Nature protocols · 2024Article
- The macroscale routing mechanism of structural brain connectivity related to body mass index.Human brain mapping · 2024Article
- A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity.Nature communications · 2024Article
- Quantifying synergy and redundancy between networks.Cell reports. Physical science · 2024Article
Corrections and comments
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Authors and funding
3 authors.
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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-motor and multimodal areas. We find that send-receive asymmetries are significantly associated with the directionality of effective connectivity derived from spectral dynamic causal modeling. Finally, using fruit fly, mouse and macaque connectomes, we provide further evidence suggesting that directionality of neural signalling is significantly encoded in the undirected architecture of nervous systems.
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