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Rich-club neurocircuitry: function, evolution, and vulnerability.

Alessandra Griffa1, Martijn P Van den Heuvel2

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This summary is machine-generated.

Network neuroscience reveals that brain connectivity features a "rich-club" organization, where highly connected regions form dense networks. This topology is crucial for information processing across species and is linked to cognition and brain disorders.

Keywords:
anatomical connectivityclinical neurosciencecomparative connectomicscomplexityconnectomeevolutionfunctional dynamicsfunctional integrationgraph analysisneural networkneuroimagingrich club

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Area of Science:

  • Neuroscience
  • Network Science
  • Computational Biology

Background:

  • Brain connectivity is fundamental to understanding nervous system function.
  • Neural networks exhibit a 'rich-club' phenomenon where highly connected nodes interconnect.
  • This topology is observed across species and scales, suggesting biological significance.

Purpose of the Study:

  • To review the literature on rich-club organization in nervous systems.
  • To explore the function and origin of this network architecture.
  • To discuss its relevance to human cognition, behavior, and brain disorders.

Main Methods:

  • Survey of neuroimaging literature.
  • Analysis of computational models of neural networks.
  • Cross-species comparative studies.

Main Results:

  • Rich-club organization is a prevalent feature in brain networks.
  • This architecture plays a role in efficient information processing.
  • Disruptions in rich-club topology are associated with neurological and psychiatric conditions.

Conclusions:

  • The rich-club architecture is a conserved property of biological information processing systems.
  • Understanding this network property offers insights into cognition and disease.
  • Further research can leverage network neuroscience to address brain disorders.