Navigation of brain networks
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Significance: We show that the combination of topology and geometry in mammalian cortical networks allows for near-optimal decentralized communication under navigation routing. Following a simple propagation rule based on local knowledge of the distance between cortical regions, we demonstrate that brain networks can be successfully navigated with efficiency that is comparable to shortest paths routing. This finding helps to conciliate the major progress achieved over more than a decade of connectomics research, under the assumption of communication via shortest paths, with recent questions raised by the biologically unrealistic requirements involved in the computation of optimal routes. Our results reiterate the importance of the brain’s spatial embedding, suggesting a three-way relationship between connectome geometry, topology, and communication.
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Identification of shortest paths demands individual regions to possess global knowledge of structural connectivity, which is unlikely in decentralized systems such as the brain.
“However, algorithmically, the identification of shortest paths demands individual regions to possess global knowledge of structural connectivity, a requirement unlikely to be met in decentralized systems such as the brain (Avena-Koenigsberger et al., 2019; Goñi et al., 2014; Seguin et al., 2018).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Seguin et al., 2018
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Cited by
Sorted by citations
Zhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302 · see citing works
“tion efficiency [389], communicability [133], search informa-”
Self-citation
- Authors
- Seguin, C., van den Heuvel, M. P., & Zalesky, A.
- Affiliations
- The University of Melbourne (AU)
- Dutch Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, 1081 HV Amsterdam, The Netherlands;
- Corresponding author
- Seguin, Caio
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2018-05-30
- Volume
- 115
- Issue
- 24
- Pages
- 6297-6302
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC6004443
- OpenAlex
- W2784456775
- Cited by
- 173
- References
- 9
- Citations by year
- 2026: 7 · 2025: 25 · 2024: 27 · 2023: 25 · 2022: 20 · 2021: 27 · 2020: 20 · 2019: 15 · 2018: 5 · 2017: 1 · 2016: 1
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- VU Research Portal (publishedVersion, other-oa)
- arXiv (Cornell University) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- arXiv (Cornell University)
- Funders
- MQ: Transforming Mental Health (MQ15FIP100015)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (452-16-015, ALWOP.179, 1U54MH091657)
- National Institutes of Health (5u54mh091657-05, 1U54‐MH‐091657)
- McDonnell Center for Systems Neuroscience (1U54MH091657)
- Medical Research Council (1U54MH091657, 1136649)
- National Health and Medical Research Council (1136649)
- National Institute of Mental Health (U54-MH091657)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- brain networks, connectomics, network navigation, routing, shortest path routing, decentralized communication, network topology, network geometry, spatial embedding, mammalian cortex, propagation rules
- MeSH terms
- Adult, Animals, Brain, Computer Simulation, Female, Humans, Macaca, Male, Models, Neurological, Nerve Net, Neural Pathways, Mice, Young Adult, Connectome
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