ArticleBrain structure & function2015
A predictive model of the cat cortical connectome based on cytoarchitecture and distance.
Article in Brain structure & function, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed.
- Anatomical white matter tracts span the cortical hierarchy to support cognitive diversity.Nature human behaviour · 2026Article
- Biological factors contributing to divergent cortical abnormalities in adolescent and adult psychiatric disorders.Translational psychiatry · 2026Article
- The genetic architecture of cortical similarity networks.Nature communications · 2026Article
- Structural connectome architecture and biological vulnerability shape cortical atrophy in cocaine use disorder.BMC medicine · 2026Article
- Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures.Nature communications · 2025Article
- Anatomical White Matter Tracts Span the Cortical Hierarchy to Support Cognitive Diversity.bioRxiv : the preprint server for biology · 2025Article
- The cellular associates of late life changes in white matter microstructure.bioRxiv : the preprint server for biology · 2025Article
- Mapping the coupling between tract reachability and cortical geometry of the human brain.Nature communications · 2025Article
- The Cortical Structural Model Extends to Thalamocortical Connections.The European journal of neuroscience · 2025Article
- The multiscale brain structural re-organization that occurs from childhood to adolescence correlates with cortical morphology maturation and functional specialization.PLoS biology · 2025Article
- Structural MRI of brain similarity networks.Nature reviews. Neuroscience · 2025Review
- Lipidome atlas of the adult human brain.Nature communications · 2024Article
- Dopamine D1-Receptor Organization Contributes to Functional Brain Architecture.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence.Nature communications · 2024Article
- Towards a biologically annotated brain connectome.Nature reviews. Neuroscience · 2023Review
- The regional variation of laminar thickness in the human isocortex is related to cortical hierarchy and interregional connectivity.PLoS biology · 2023Article
- Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- Integrating multimodal and multiscale connectivity blueprints of the human cerebral cortex in health and disease.PLoS biology · 2023Article
- A connectomics-based taxonomy of mammals.eLife · 2022Article
- The brainstem connectome database.Scientific data · 2022Article
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3 authors.
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Abstract
Information processing in the brain is strongly constrained by anatomical connectivity. However, the principles governing the organization of corticocortical connections remain elusive. Here, we tested three models of relationships between the organization of cortical structure and features of connections linking 49 areas of the cat cerebral cortex. Factors taken into account were relative cytoarchitectonic differentiation ('structural model'), relative spatial position ('distance model'), or relative hierarchical position ('hierarchical model') of the areas. Cytoarchitectonic differentiation and spatial distance (themselves uncorrelated) correlated strongly with the existence of inter-areal connections, whereas no correlation was found with relative hierarchical position. Moreover, a strong correlation was observed between patterns of laminar projection origin or termination and cytoarchitectonic differentiation. Additionally, cytoarchitectonic differentiation correlated with the absolute number of corticocortical connections formed by areas, and varied characteristically between different cortical subnetworks, including a 'rich-club' module of hub areas. Thus, connections between areas of the cat cerebral cortex can, to a large part, be explained by the two independent factors of relative cytoarchitectonic differentiation and spatial distance of brain regions. As both the structural and distance model were originally formulated in the macaque monkey, their applicability in another mammalian species suggests a general principle of global cortical organization.
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