ArticleProceedings of the National Academy of Sciences of the United States of America2018
Navigation of brain networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.
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Who cites it
83 citing papers in PubMed.
- netneurotools: a trainee-oriented approach to network neuroscience.Nature protocols · 2026Review
- Modular brain networks shape amyloid-driven tau spread and cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Multiscale metabolic covariance networks uncover stage-specific biomarker signatures across the Alzheimer's disease continuum.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation.PLoS computational biology · 2025Article
- Structural and genetic determinants of zebrafish functional brain networks.Science advances · 2025Article
- Benchmarking methods for mapping functional connectivity in the brain.Nature methods · 2025Article
- Krakencoder: a unified brain connectome translation and fusion tool.Nature methods · 2025Article
- Navigation in brain networks is possible using only local measures.Scientific reports · 2025Article
- Event-Marked Windowed Communication: Inferring Activity Propagation from Neural Time Series.Human brain mapping · 2025Article
- Structural network communication differences in drug-naive depressed adolescents with non-suicidal self-injury and suicide attempts.World journal of psychiatry · 2025Article
- Vigorous technique for augmented lifetime in WSNs.Scientific reports · 2025Article
- Article
- Exploring the transmission of cognitive task information through optimal brain pathways.PLoS computational biology · 2025Article
- The architecture of the human default mode network explored through cytoarchitecture, wiring and signal flow.Nature neuroscience · 2025Article
- Structural connectome manifold changes related to body mass index and their associations with eating psychopathology.NeuroImage. Clinical · 2025Article
- Neuroadaptive changes in brain structural-functional coupling among pilots.Frontiers in neuroscience · 2025Article
- Hierarchical communities in the larvalProceedings of the National Academy of Sciences of the United States of America · 2024Article
- The macroscale routing mechanism of structural brain connectivity related to body mass index.Human brain mapping · 2024Article
- Mapping the structure-function relationship along macroscale gradients in the human brain.Nature communications · 2024Article
- A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity.Nature communications · 2024Article
23 more citing papers are in PubMed but not listed here.
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Abstract
Understanding the mechanisms of neural communication in large-scale brain networks remains a major goal in neuroscience. We investigated whether navigation is a parsimonious routing model for connectomics. Navigating a network involves progressing to the next node that is closest in distance to a desired destination. We developed a measure to quantify navigation efficiency and found that connectomes in a range of mammalian species (human, mouse, and macaque) can be successfully navigated with near-optimal efficiency (>80% of optimal efficiency for typical connection densities). Rewiring network topology or repositioning network nodes resulted in 45-60% reductions in navigation performance. We found that the human connectome cannot be progressively randomized or clusterized to result in topologies with substantially improved navigation performance (>5%), suggesting a topological balance between regularity and randomness that is conducive to efficient navigation. Navigation was also found to (
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.