ArticleScientific reports2014
Frustrated hierarchical synchronization and emergent complexity in the human connectome network.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Neuromorphic hierarchical modular reservoirs.Nature communications · 2026Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- A Shift Toward Supercritical Brain Dynamics Predicts Alzheimer's Disease Progression.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Frustrated Synchronization of the Kuramoto Model on Complex Networks.Entropy (Basel, Switzerland) · 2024Article
- Emergence of metastability in frustrated oscillatory networks: the key role of hierarchical modularity.Frontiers in network physiology · 2024Article
- Constructing representative group networks from tractography: lessons from a dynamical approach.Frontiers in network physiology · 2024Article
- Modular architecture facilitates noise-driven control of synchrony in neuronal networks.Science advances · 2023Article
- Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data.Nature communications · 2023Article
- Quasiuniversal scaling in mouse-brain neuronal activity stems from edge-of-instability critical dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Synchronization Transition of the Second-Order Kuramoto Model on Lattices.Entropy (Basel, Switzerland) · 2023Article
- Long-range connections are crucial for synchronization transition in a computational model of Drosophila brain dynamics.Scientific reports · 2022Article
- Theoretical foundations of studying criticality in the brain.Network neuroscience (Cambridge, Mass.) · 2022Review
- Constructing graphs from genetic encodings.Scientific reports · 2021Article
- Link-usage asymmetry and collective patterns emerging from rich-club organization of complex networks.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Power-Law Distributions of Dynamic Cascade Failures in Power-Grid Models.Entropy (Basel, Switzerland) · 2020Article
- Magnetisation Processes in Geometrically Frustrated Spin Networks with Self-Assembled Cliques.Entropy (Basel, Switzerland) · 2020Article
- Critical synchronization dynamics of the Kuramoto model on connectome and small world graphs.Scientific reports · 2019Article
- Optimal modularity and memory capacity of neural reservoirs.Network neuroscience (Cambridge, Mass.) · 2019Article
- Multi-scale detection of hierarchical community architecture in structural and functional brain networks.PloS one · 2019Article
- Complex Network Geometry and Frustrated Synchronization.Scientific reports · 2018Article
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3 authors.
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Abstract
The spontaneous emergence of coherent behavior through synchronization plays a key role in neural function, and its anomalies often lie at the basis of pathologies. Here we employ a parsimonious (mesoscopic) approach to study analytically and computationally the synchronization (Kuramoto) dynamics on the actual human-brain connectome network. We elucidate the existence of a so-far-uncovered intermediate phase, placed between the standard synchronous and asynchronous phases, i.e. between order and disorder. This novel phase stems from the hierarchical modular organization of the connectome. Where one would expect a hierarchical synchronization process, we show that the interplay between structural bottlenecks and quenched intrinsic frequency heterogeneities at many different scales, gives rise to frustrated synchronization, metastability, and chimera-like states, resulting in a very rich and complex phenomenology. We uncover the origin of the dynamic freezing behind these features by using spectral graph theory and discuss how the emerging complex synchronization patterns relate to the need for the brain to access -in a robust though flexible way- a large variety of functional attractors and dynamical repertoires without ad hoc fine-tuning to a critical point.
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