reviewAnnual Review of Clinical PsychologyMar 2, 2011Closed access

Brain Graphs: Graphical Models of the Human Brain Connectome

University of Cambridge · University of California, Santa Barbara

PubMed
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Abstract

Brain graphs provide a relatively simple and increasingly popular way of modeling the human brain connectome, using graph theory to abstractly define a nervous system as a set of nodes (denoting anatomical regions or recording electrodes) and interconnecting edges (denoting structural or functional connections). Topological and geometrical properties of these graphs can be measured and compared to random graphs and to graphs derived from other neuroscience data or other (nonneural) complex systems. Both structural and functional human brain graphs have consistently demonstrated key topological properties such as small-worldness, modularity, and heterogeneous degree distributions. Brain graphs are also…

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1,183
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30.81
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100%
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Authors

2

Topics & keywords

Keywords
  • Connectome
  • Modularity (biology)
  • Computer science
  • Graph theory
  • Human Connectome Project
  • Set (abstract data type)
  • Human brain
  • Connectomics
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