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      • Bilkent Theses
      • Theses - Department of Physics
      • Dept. of Physics - Master's degree
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      Braph : a toolbox developed for brain graph analysis of various imaging modalities

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      Embargo Lift Date: 2020-03-21
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      Author(s)
      Kakaei, Ehsan
      Advisor
      Volpe, Giovanni
      Date
      2017-03
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
      Item Usage Stats
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      195
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      Abstract
      Complex systems, like the human brain, are composed of a huge number of interacting elements showing complex patterns. Graph theory provides a mathematical toolbox for investigating the role of each element in these systems. With the rise of interest in applying this method for studying brain networks, several software have been developed to allow researches conduct brain network analysis. However, a comprehensive and an easy-to-use toolbox is still lacking. BRAPH is the first object-oriented toolbox that provides users the ability of constructing and analyzing brain networks out of data acquired from various imaging modalities. For this purpose, multiple graphical user interfaces (GUIs) have been designed that allow the users to import or build brain atlases, along with cohort of subjects, prior to starting the graph analysis. Various graph measures for both weighted graphs and binary graphs, comparison between groups, comparison with random graphs, longitudinal analysis and statistical analysis, are only some of the analysis tools embedded in BRAPH.
      Keywords
      Graph theory analysis
      Object-oriented software
      Network topology
      Longitudinal analysis
      Permalink
      http://hdl.handle.net/11693/32939
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      • Dept. of Physics - Master's degree 169
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