• DocumentCode
    2213195
  • Title

    Involvement of region-specific HRF in classical analysis of event-related fMRI data

  • Author

    Barton, Mark ; Mikl, M. ; Marecek, R. ; Havlicek, Michal

  • Author_Institution
    CEITEC MU, Masaryk Univ., Brno, Czech Republic
  • fYear
    2012
  • fDate
    11-13 April 2012
  • Firstpage
    500
  • Lastpage
    503
  • Abstract
    The shape of hemodynamic response function (HRF) as it is measured by fMRI is influenced by many factors. Even the time course of neuronal activity by itself does not necessarily trace the time course of fMRI experimental stimulation. The analysis of fMRI data based on assumption of commonly considered (fixed) HRF shape may therefore be mismatched due to inaccurate modeling. Therefore, to formulate more accurate models, by using estimated region-specific HRF for particular volume elements of the brain, may be beneficial. The aim of this paper is to verify the methodology, which involves HRF estimations, in comparison to the classical form of fMRI data analysis. For estimations of HRF was chosen regression method with a modified set of FIR basis functions.
  • Keywords
    biomedical MRI; neural nets; classical analysis; event-related fMRI data; fMRI data analysis; fMRI experimental stimulation; hemodynamic response function; neuronal activity; region-specific HRF; time course; Brain modeling; Data models; Estimation; Finite impulse response filter; Hemodynamics; Predictive models; Shape; B-spline; FIR; HRF estimation; canonical; fMRI; hemodynamic response; mFIR; temporal and disperse derivatives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    2157-8672
  • Print_ISBN
    978-1-4577-2191-5
  • Type

    conf

  • Filename
    6208187