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.

中文翻译：

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大脑皮层网络的空间多尺度嵌合状态及其内在的结构-动力学关系

 抽象的

人类大脑皮层在不同状态下表现出不同的动态模式，但底层大脑网络如何支持这些不同的模式的机制仍不清楚。人脑具有独特的网络结构，具有不同的兴趣区域来执行认知任务。在人类皮质网络上使用耦合神经质量振荡器并关注全局和局部区域，我们观察到具有多个空间尺度的嵌合状态的新特征以及局部区域的同步偏好与连通性对称程度之间的正相关性网络中的区域。此外，我们使用网络中有效对称的概念来构建结构和动态层次树，并找到它们之间的密切匹配。这些结果有助于解释实验中观察到的多种大脑节律，并提出复杂大脑网络作为支持不同功能模式的结构基础的通用原则。