35
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Brain graphs: graphical models of the human brain connectome.

      1 ,
      Annual review of clinical psychology
      Annual Reviews

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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 physically embedded so as to nearly minimize wiring cost, a key geometric property. Here we offer a conceptual review and methodological guide to graphical analysis of human neuroimaging data, with an emphasis on some of the key assumptions, issues, and trade-offs facing the investigator.

          Related collections

          Author and article information

          Journal
          Annu Rev Clin Psychol
          Annual review of clinical psychology
          Annual Reviews
          1548-5951
          1548-5943
          2011
          : 7
          Affiliations
          [1 ] Behavioural & Clinical Neuroscience Institute, Department of Psychiatry, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SZ, United Kingdom. etb23@cam.ac.uk
          Article
          10.1146/annurev-clinpsy-040510-143934
          21128784
          94172a84-a3cb-427e-b655-2dfee7223f71
          © 2011 by Annual Reviews. All rights reserved
          History

          Comments

          Comment on this article