• DocumentCode
    3685321
  • Title

    Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application

  • Author

    Guo-Rong Wu;Gopikhrishna Deshpande;Steven Laureys;Daniele Marinazzo

  • Author_Institution
    Department of Data Analysis, University of Ghent, B9000, Belgium
  • fYear
    2015
  • Firstpage
    6050
  • Lastpage
    6053
  • Abstract
    In this paper we present a procedure to retrieve the hemodynamic response function (HRF) from resting state functional magnetic resonance imaging (fMRI) data. The fundamentals of the procedures are further validated by considering simultaneous electroencephalographic (EEG) recordings. The typical HRF shape at rest for a group of healthy subject is presented. Then we present the modifications to the shape of the HRF at rest following two physiological modulations: eyes open versus eyes closed and propofol-induced modulations of consciousness.
  • Keywords
    "Shape","Electroencephalography","Hemodynamics","Time series analysis","Deconvolution","Modulation","Magnetic resonance imaging"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319771
  • Filename
    7319771