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Searching and Visualizing Brain Networks in Schizophrenia

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Biological and Medical Data Analysis (ISBMDA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4345))

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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.

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Author information

Authors and Affiliations

  1. Foundation for Research and Technology-Hellas, Vassilika Vouton, Institute of Computer Science, P.O. Box 1385, Heraklion, GR, 71110, Greece

    Theofanis Oikonomou, Vangelis Sakkalis & Ioannis G. Tollis

  2. Department of Computer Science, University of Crete, P.O. Box 2208, Heraklion, Crete, GR, 71409, Greece

    Theofanis Oikonomou & Ioannis G. Tollis

  3. Clinical Neurophysiology Laboratory (L. Widen), Faculty of Medicine, University of Crete, Heraklion, Crete, GR, 71409, Greece

    Sifis Micheloyannis

Authors
  1. Theofanis Oikonomou
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  2. Vangelis Sakkalis
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  3. Ioannis G. Tollis
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  4. Sifis Micheloyannis
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Editor information

Editors and Affiliations

  1. The Medical School, Lab of Medical Informatics, Aristotle University, Box 323, 54124, Thessaloniki, Greece

    Nicos Maglaveras  & Ioanna Chouvarda  & 

  2. Laboratory of Medical Informatics, Faculty of Medicine, Aristotle University of Thessaloniki, P.O.Box 323, 54124, Thessaloniki, Greece

    Vassilis Koutkias

  3. Institute of Informatics, Johann Wolfgang Goethe-Universität, 60054, Frankfurt a.M., Germany

    Rüdiger Brause

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© 2006 Springer-Verlag Berlin Heidelberg

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Oikonomou, T., Sakkalis, V., Tollis, I.G., Micheloyannis, S. (2006). Searching and Visualizing Brain Networks in Schizophrenia. In: Maglaveras, N., Chouvarda, I., Koutkias, V., Brause, R. (eds) Biological and Medical Data Analysis. ISBMDA 2006. Lecture Notes in Computer Science(), vol 4345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11946465_16

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  • DOI: https://doi.org/10.1007/11946465_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68063-5

  • Online ISBN: 978-3-540-68065-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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