ArticleCerebral cortex (New York, N.Y. : 1991)2020
Topography Impacts Topology: Anatomically Central Areas Exhibit a "High-Level Connector" Profile in the Human Cortex.
Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed.
- Categorization is 'baked' into the brain.Nature reviews. Neuroscience · 2026Review
- Bridging subjective and neural state transitions in the rubber hand illusion: a neurophenomenological study.Neuroscience of consciousness · 2026Article
- Review
- Cortical and subcortical mapping of the human allostatic-interoceptive system using 7 Tesla fMRI.Nature neuroscience · 2025Article
- Cortical and subcortical mapping of the allostatic-interoceptive system in the human brain using 7 Tesla fMRI.bioRxiv : the preprint server for biology · 2025Article
- Brain connectome from neuronal morphology.Network neuroscience (Cambridge, Mass.) · 2025Article
- The possibilities of conscious experience in light of the dual origin hypothesis of the neocortex.Neuroscience of consciousness · 2025Article
- Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.Frontiers in immunology · 2025Article
- Is depression a global brain disorder with topographic dynamic reorganization?Translational psychiatry · 2024Review
- The neurobiology of interoception and affect.Trends in cognitive sciences · 2024Review
- Frequency-specific segregation and integration of human cerebral cortex: An intrinsic functional atlas.iScience · 2024Article
- Pattern of ventral temporal lobe interconnections in rhesus macaques.The Journal of comparative neurology · 2023Article
- Integrating multimodal and multiscale connectivity blueprints of the human cerebral cortex in health and disease.PLoS biology · 2023Article
- Homology of neocortical areas in rats and primates based on cortical type analysis: an update of the Hypothesis on the Dual Origin of the Neocortex.Brain structure & function · 2023Article
- Common Microscale and Macroscale Principles of Connectivity in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Allostasis, Action, and Affect in Depression: Insights from the Theory of Constructed Emotion.Annual review of clinical psychology · 2022Review
- Allostasis as a core feature of hierarchical gradients in the human brain.Network neuroscience (Cambridge, Mass.) · 2022Article
- The cortical spectrum: A robust structural continuum in primate cerebral cortex revealed by histological staining and magnetic resonance imaging.Frontiers in neuroanatomy · 2022Article
- Cytoarchitectonics of the Rolandic operculum: morphofunctional ponderings.Brain structure & function · 2021Review
- A Protocol for Cortical Type Analysis of the Human Neocortex Applied on Histological Samples, the Atlas of Von Economo and Koskinas, and Magnetic Resonance Imaging.Frontiers in neuroanatomy · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Degree centrality is a widely used measure in complex networks. Within the brain, degree relates to other topological features, with high-degree nodes (i.e., hubs) exhibiting high betweenness centrality, participation coefficient, and within-module z-score. However, increasing evidence from neuroanatomical and predictive processing literature suggests that topological properties of a brain network may also be impacted by topography, that is, anatomical (spatial) distribution. More specifically, cortical limbic areas (agranular and dysgranular cortices), which occupy an anatomically central position, have been proposed to be topologically central and well suited to initiate predictions in the cerebral cortex. We estimated anatomical centrality and showed that it positively correlated with betweenness centrality, participation coefficient, and communicability, analogously to degree. In contrast to degree, however, anatomical centrality negatively correlated with within-module z-score. Our data suggest that degree centrality and anatomical centrality reflect distinct contributions to cortical organization. Whereas degree would be more related to the amount of information integration performed by an area, anatomical centrality would be more related to an area's position in the predictive hierarchy. Highly anatomically central areas may function as "high-level connectors," integrating already highly integrated information across modules. These results are consistent with a high-level, domain-general limbic workspace, integrated by highly anatomically central cortical areas.
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