Searching and visualizing brain networks in schizophrenia

  • Authors:
  • Theofanis Oikonomou;Vangelis Sakkalis;Ioannis G. Tollis;Sifis Micheloyannis

  • Affiliations:
  • Foundation for Research and Technology-Hellas, Vassilika Vouton, Institute of Computer Science, Heraklion, GR, Greece;Foundation for Research and Technology-Hellas, Vassilika Vouton, Institute of Computer Science, Heraklion, GR, Greece;Foundation for Research and Technology-Hellas, Vassilika Vouton, Institute of Computer Science, Heraklion, GR, Greece;Clinical Neurophysiology Laboratory (L. Widen), Faculty of Medicine, University of Crete, Heraklion, Crete, GR, Greece

  • Venue:
  • ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
  • Year:
  • 2006

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Abstract

There has been special interest lately in using graph theory to study brain networks, as it provides the theoretic and visualization means to study the ”disconnection syndrome” for schizophrenia. In this work we try to visualize the graphs derived from electroencephalografic (EEG) signals using several graph drawing techniques and incorporate them smoothly into an easy-to-use framework. The aim is to reveal and evaluate important properties of brain networks.