ArticleNational science review2021
Spatial multi-scaled chimera states of cerebral cortex network and its inherent structure-dynamics relationship in human brain.
Article in National science review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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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5 citing papers in PubMed, 42 citations in OpenAlex.
- Physical mechanisms of human brain functions.Quantitative biology (Beijing, China) · 2025Review
- Microstate D as a Biomarker in Schizophrenia: Insights from Brain State Transitions.Brain sciences · 2024Article
- Control of epileptic activities in a cortex network of multiple coupled neural populations under electromagnetic induction.Applied mathematics and mechanics · 2023Article
- Effects of magnetic fields on stochastic resonance in Hodgkin-Huxley neuronal network driven by Gaussian noise and non-Gaussian noise.Cognitive neurodynamics · 2022Article
- Regulating heat conduction of complex networks by distributed nodes masses.Scientific reports · 2021Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human cerebral cortex displays various dynamics patterns under different states, however the mechanism how such diverse patterns can be supported by the underlying brain network is still not well understood. Human brain has a unique network structure with different regions of interesting to perform cognitive tasks. Using coupled neural mass oscillators on human cortical network and paying attention to both global and local regions, we observe a new feature of chimera states with multiple spatial scales and a positive correlation between the synchronization preference of local region and the degree of symmetry of the connectivity of the region in the network. Further, we use the concept of effective symmetry in the network to build structural and dynamical hierarchical trees and find close matching between them. These results help to explain the multiple brain rhythms observed in experiments and suggest a generic principle for complex brain network as a structure substrate to support diverse functional patterns.
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