ArticleScientific reports2016
Functional complexity emerging from anatomical constraints in the brain: the significance of network modularity and rich-clubs.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
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- The Relationship Between the Functional Integration and Topological Complexity of Human Electroencephalographic (EEG) Signals: Three Moderating Factors.Brain sciences · 2026Article
- Neuromorphic hierarchical modular reservoirs.Nature communications · 2026Article
- Role of connectivity anisotropies in the dynamics of cultured neuronal networks.PLoS computational biology · 2025Article
- Evolution of the Rich Club Properties in Mouse, Macaque, and Human Brain Networks: A Study of Functional Integration, Segregation, and Balance.Neuroscience bulletin · 2025Article
- Thoughtseeds: A Hierarchical and Agentic Framework for Investigating Thought Dynamics in Meditative States.Entropy (Basel, Switzerland) · 2025Article
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- Altered integrated and segregated states in cocaine use disorder.Frontiers in neuroscience · 2025Article
- Unraveling the mesoscale organization induced by network-driven processes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations.Communications biology · 2024Article
- Emergence of metastability in frustrated oscillatory networks: the key role of hierarchical modularity.Frontiers in network physiology · 2024Article
- Generative whole-brain dynamics models from healthy subjects predict functional alterations in stroke at the level of individual patients.Brain communications · 2024Article
- Constructing representative group networks from tractography: lessons from a dynamical approach.Frontiers in network physiology · 2024Article
- A low dimensional embedding of brain dynamics enhances diagnostic accuracy and behavioral prediction in stroke.Scientific reports · 2023Article
- Modular architecture facilitates noise-driven control of synchrony in neuronal networks.Science advances · 2023Article
- Whole-brain analyses indicate the impairment of posterior integration and thalamo-frontotemporal broadcasting in disorders of consciousness.Human brain mapping · 2023Article
- Improved brain community structure detection by two-step weighted modularity maximization.PloS one · 2023Article
- Task-specific network interactions across key cognitive domains.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
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5 authors.
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Abstract
The large-scale structural ingredients of the brain and neural connectomes have been identified in recent years. These are, similar to the features found in many other real networks: the arrangement of brain regions into modules and the presence of highly connected regions (hubs) forming rich-clubs. Here, we examine how modules and hubs shape the collective dynamics on networks and we find that both ingredients lead to the emergence of complex dynamics. Comparing the connectomes of C. elegans, cats, macaques and humans to surrogate networks in which either modules or hubs are destroyed, we find that functional complexity always decreases in the perturbed networks. A comparison between simulated and empirically obtained resting-state functional connectivity indicates that the human brain, at rest, lies in a dynamical state that reflects the largest complexity its anatomical connectome can host. Last, we generalise the topology of neural connectomes into a new hierarchical network model that successfully combines modular organisation with rich-club forming hubs. This is achieved by centralising the cross-modular connections through a preferential attachment rule. Our network model hosts more complex dynamics than other hierarchical models widely used as benchmarks.
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