ArticleScience advances2022
Modeling spatial, developmental, physiological, and topological constraints on human brain connectivity.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Human cortical networks trade communication efficiency for computational reliability.Science advances · 2026Article
- Geometric constraints and cognitive inputs jointly shape emergent brain dynamics and topology.bioRxiv : the preprint server for biology · 2026Article
- A data-driven framework linking the connectome to spatial gene expression gradients inspired by chemoaffinity theory.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Specific genetic and biological patterns underlying cortical morphological alterations in vascular cognitive impairment.Alzheimer's research & therapy · 2025Article
- Inferring intrinsic neural timescales using optimal control theory.Nature communications · 2025Article
- Transcriptomic divergence of network hubs in the prenatal human brain.Communications biology · 2025Article
- MesoSCOUT: A novel tool for revealing mesoscale organization in the white-matter connectome.bioRxiv : the preprint server for biology · 2025Article
- Geometric constraints on the architecture of mammalian cortical connectomes.bioRxiv : the preprint server for biology · 2025Article
- Unifying equivalences across unsupervised learning, network science, and imaging/network neuroscience.ArXiv · 2025Article
- Estimating Brain Similarity Networks With Diffusion MRI.Human brain mapping · 2025Article
- Article
- Premature birth changes wiring constraints in neonatal structural brain networks.Nature communications · 2025Article
- Combined topological and spatial constraints are required to capture the structure of neural connectomes.Network neuroscience (Cambridge, Mass.) · 2025Article
- Metric structural human connectomes: Localization and multifractality of eigenmodes.Network neuroscience (Cambridge, Mass.) · 2025Article
- Brain wiring economics, network organisation and population-level genomics.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Coming up short: Generative network models fail to accurately capture long-range connectivity.Network neuroscience (Cambridge, Mass.) · 2025Article
- Structural MRI of brain similarity networks.Nature reviews. Neuroscience · 2025Review
- Article
- Shaping dynamical neural computations using spatiotemporal constraints.Biochemical and biophysical research communications · 2024Review
- A shifting role of thalamocortical connectivity in the emergence of cortical functional organization.Nature neuroscience · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The complex connectivity of nervous systems is thought to have been shaped by competitive selection pressures to minimize wiring costs and support adaptive function. Accordingly, recent modeling work indicates that stochastic processes, shaped by putative trade-offs between the cost and value of each connection, can successfully reproduce many topological properties of macroscale human connectomes measured with diffusion magnetic resonance imaging. Here, we derive a new formalism that more accurately captures the competing pressures of wiring cost minimization and topological complexity. We further show that model performance can be improved by accounting for developmental changes in brain geometry and associated wiring costs, and by using interregional transcriptional or microstructural similarity rather than topological wiring rules. However, all models struggled to capture topographical (i.e., spatial) network properties. Our findings highlight an important role for genetics in shaping macroscale brain connectivity and indicate that stochastic models offer an incomplete account of connectome organization.
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Registered trials
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.