ArticleScientific reports2019
Functional Geometry of Human Connectomes.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 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
- Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach.JMIR aging · 2025Article
- Synchronization of Kuromoto Oscillators on Simplicial Complexes: Hysteresis, Cluster Formation and Partial Synchronization.Entropy (Basel, Switzerland) · 2025Review
- Heterogeneous and higher-order cortical connectivity undergirds efficient, robust, and reliable neural codes.iScience · 2025Article
- FurtherFrontiers in computational neuroscience · 2025Article
- A Q-analysis package for higher-order interactions analysis in Python and its application in network physiology.Frontiers in network physiology · 2025Article
- Article
- Hyperbolic disc embedding of functional human brain connectomes using resting-state fMRI.Network neuroscience (Cambridge, Mass.) · 2022Article
- Nonlocal models in the analysis of brain neurodegenerative protein dynamics with application to Alzheimer's disease.Scientific reports · 2022Article
- Altered structural balance of resting-state networks in autism.Scientific reports · 2021Article
- The topology of higher-order complexes associated with brain hubs in human connectomes.Scientific reports · 2020Article
- Magnetisation Processes in Geometrically Frustrated Spin Networks with Self-Assembled Cliques.Entropy (Basel, Switzerland) · 2020Article
- Structural Entropy: Monitoring Correlation-Based Networks Over Time With Application To Financial Markets.Scientific reports · 2019Article
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3 authors.
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Abstract
Mapping the brain imaging data to networks, where nodes represent anatomical brain regions and edges indicate the occurrence of fiber tracts between them, has enabled an objective graph-theoretic analysis of human connectomes. However, the latent structure on higher-order interactions remains unexplored, where many brain regions act in synergy to perform complex functions. Here we use the simplicial complexes description of human connectome, where the shared simplexes encode higher-order relationships between groups of nodes. We study consensus connectome of 100 female (F-connectome) and of 100 male (M-connectome) subjects that we generated from the Budapest Reference Connectome Server v3.0 based on data from the Human Connectome Project. Our analysis reveals that the functional geometry of the common F&M-connectome coincides with the M-connectome and is characterized by a complex architecture of simplexes to the 14th order, which is built in six anatomical communities, and linked by short cycles. The F-connectome has additional edges that involve different brain regions, thereby increasing the size of simplexes and introducing new cycles. Both connectomes contain characteristic subjacent graphs that make them 3/2-hyperbolic. These results shed new light on the functional architecture of the brain, suggesting that insightful differences among connectomes are hidden in their higher-order connectivity.
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