ArticlePLoS computational biology2020
Navigable maps of structural brain networks across species.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Article
- Interaction of Functional Brain Networks Is Associated With k-Clique Percolation in the Human Structural Connectome.Human brain mapping · 2025Article
- Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy.NPJ systems biology and applications · 2025Article
- Article
- The multiscale self-similarity of the weighted human brain connectome.PLoS computational biology · 2025Article
- Statistical Mechanics of Directed Networks.Entropy (Basel, Switzerland) · 2025Article
- The macroscale routing mechanism of structural brain connectivity related to body mass index.Human brain mapping · 2024Article
- The D-Mercator method for the multidimensional hyperbolic embedding of real networks.Nature communications · 2023Article
- Brain network communication: concepts, models and applications.Nature reviews. Neuroscience · 2023Review
- Article
- How the latent geometry of a biological network provides information on its dynamics: the case of the gene network of chronic myeloid leukaemia.Frontiers in cell and developmental biology · 2023Article
- Detecting the ultra low dimensionality of real networks.Nature communications · 2022Article
- Hyperbolic disc embedding of functional human brain connectomes using resting-state fMRI.Network neuroscience (Cambridge, Mass.) · 2022Article
- Local structure-function relationships in human brain networks across the lifespan.Nature communications · 2022Article
- Scaling up real networks by geometric branching growth.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- rest2vec: Vectorizing the resting-state functional connectome using graph embedding.NeuroImage · 2021Article
- Can the Brain Be Relativistic?Frontiers in neuroscience · 2021Article
- Persistence of information flow: A multiscale characterization of human brain.Network neuroscience (Cambridge, Mass.) · 2021Article
- Hyperbolic mapping of human proximity networks.Scientific reports · 2020Article
- Geometric renormalization unravels self-similarity of the multiscale human connectome.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
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2 authors.
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Abstract
Connectomes are spatially embedded networks whose architecture has been shaped by physical constraints and communication needs throughout evolution. Using a decentralized navigation protocol, we investigate the relationship between the structure of the connectomes of different species and their spatial layout. As a navigation strategy, we use greedy routing where nearest neighbors, in terms of geometric distance, are visited. We measure the fraction of successful greedy paths and their length as compared to shortest paths in the topology of connectomes. In Euclidean space, we find a striking difference between the navigability properties of mammalian and non-mammalian species, which implies the inability of Euclidean distances to fully explain the structural organization of their connectomes. In contrast, we find that hyperbolic space, the effective geometry of complex networks, provides almost perfectly navigable maps of connectomes for all species, meaning that hyperbolic distances are exceptionally congruent with the structure of connectomes. Hyperbolic maps therefore offer a quantitative meaningful representation of connectomes that suggests a new cartography of the brain based on the combination of its connectivity with its effective geometry rather than on its anatomy only. Hyperbolic maps also provide a universal framework to study decentralized communication processes in connectomes of different species and at different scales on an equal footing.
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