Rich-club in the brain's macrostructure: Insights from graph theoretical analysis

Dae Jin Kim, Byoung Kyong Min

Research output: Contribution to journalReview articlepeer-review

43 Citations (Scopus)

Abstract

The brain is a complex network. Growing evidence supports the critical roles of a set of brain regions within the brain network, known as the brain's cores or hubs. These regions require high energy cost but possess highly efficient neural information transfer in the brain's network and are termed the rich-club. The rich-club of the brain network is essential as it directly regulates functional integration across multiple segregated regions and helps to optimize cognitive processes. Here, we review the recent advances in rich-club organization to address the fundamental roles of the rich-club in the brain and discuss how these core brain regions affect brain development and disorders. We describe the concepts of the rich-club behind network construction in the brain using graph theoretical analysis. We also highlight novel insights based on animal studies related to the rich-club and illustrate how human studies using neuroimaging techniques for brain development and psychiatric/neurological disorders may be relevant to the rich-club phenomenon in the brain network.

Original languageEnglish
Pages (from-to)1761-1773
Number of pages13
JournalComputational and Structural Biotechnology Journal
Volume18
DOIs
Publication statusPublished - 2020

Bibliographical note

Funding Information:
This work was supported by the Korea University Future Research Grant (grant number K2006911 to B.K.M.), the Basic Science Research Program (grant number 2018R1A2B6004084 to B.K.M.), the Convergent Technology R&D Program for Human Augmentation (grant number 2020M3C1B8081319 to B.K.M.), and the Information Technology Research Center ( ITRC ) support program (grant number IITP - 2020-2016-0-00464 to B.K.M.), funded by the Korean government (MSICT) through the National Research Foundation of Korea . The authors declare no competing interests.

Publisher Copyright:
© 2020 The Author(s)

Keywords

  • Brain connectivity
  • Brain network
  • Graph theory
  • Neuroimaging
  • Rich-club

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Structural Biology
  • Biochemistry
  • Genetics
  • Computer Science Applications

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