Abstract

The organizational principles of the community architecture of human brain networks are still mostly unknown. Here, we found that brain networks have a moderate degree of community segregation but are specifically organized to achieve high community overlap while maintaining their segregated community structures. These properties are distinct from other real-world complex networks. Additionally, we found that human subjects with a higher degree of community overlap in their brain networks show greater dynamic reconfiguration and cognitive flexibility.

Highlights

  • The organizational principles of the community architecture of human brain networks are still mostly unknown

  • The community architecture of brain networks has been described by assigning each brain region to a single community that supports a single specialized f­unction1,2

  • Many brain regions could engage in multiple brain functions, suggesting that a non-overlapping community architecture might be insufficient to explain the rich repertoires of brain ­dynamics14,15

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Summary

Introduction

The organizational principles of the community architecture of human brain networks are still mostly unknown. We found that brain networks have a moderate degree of community segregation but are organized to achieve high community overlap while maintaining their segregated community structures. These properties are distinct from other real-world complex networks. Cognitive function emerges from elaborate interactions among groups of densely inter-connected brain ­regions1,2 These interactions constitute the complex community architecture of human brain n­ etworks. We examined the degree of segregation and overlap between communities of brain networks and other real-world complex networks We investigated how these two features interdependently constitute a community architecture of a complex network. We explored whether such a characteristic of the brain network architecture supports complex dynamic interactions between brain regions and cognitive performance, which indicated that such an organizational principle supports rich functional repertoires of brain dynamics and high cognitive flexibility

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