• DocumentCode
    3646797
  • Title

    Analysis of brain connectivity in simultaneous EEG/fMRI

  • Author

    Martin Lamoš;Michal Mikl;Jirí Jan

  • Author_Institution
    Department of Biomedical Engineering, Brno University of Technology, Czech Republic
  • fYear
    2012
  • fDate
    4/1/2012 12:00:00 AM
  • Firstpage
    588
  • Lastpage
    591
  • Abstract
    Functional magnetic resonance imaging utilizing the blood oxygenation level dependent effect as an indicator of local activity is a very useful technique to identify active brain regions. Currently, there is a growing interest in studying the connectivity between different brain regions. This contribution summarizes the approach of enhancing the fMRI analysis by fusing EEG data processing with fMRI statistical analysis. This leads to a more precise localization of the specific active areas, which might be the initial regions for analysis of effective brain connectivity using the dynamic causal modelling. The technique is tested on the simultaneously measured dataset EEG/fMRI.
  • Keywords
    "Electroencephalography","Mathematical model","Brain models","Analytical models","Magnetic resonance imaging","Vectors"
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
  • ISSN
    2157-8672
  • Print_ISBN
    978-1-4577-2191-5
  • Type

    conf

  • Filename
    6208310