Spatio-temporal Identification of Hemodynamics in fMRI: A Data-Driven Approach

  • Lirong Yan
  • Dewen Hu
  • Zongtan Zhou
  • Yadong Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3150)


This paper presents a new data-driven method to identify the spatial and temporal characteristics of the cerebral hemodynamics in functional magnetic resonance imaging (fMRI). The experiments are in block design paradigm and the scans in task blocks are investigated in a sequential manner. Spatial evolvement of the activated regions along with the time-course are demonstrated. The time series of each region is predicated as the convolution of the stimuli with the hemodynamic response function (HRF) formulated as the sum of two gamma functions. The predicted time series is fitted to the actual one by using a nonlinear least-squares procedure to estimate the HRF parameters. Analyses on empirical fMRI datasets exhibit obviously the spatial and temporal dispersion of hemodynamics.


Functional Magnetic Resonance Imaging Imaging Spectroscopy Spatial Dispersion Task Block Bold fMRI 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Lirong Yan
    • 1
  • Dewen Hu
    • 1
    • 2
  • Zongtan Zhou
    • 1
  • Yadong Liu
    • 1
  1. 1.Department of Automatic ControlNational University of Defense TechnologyChangshaP.R.China
  2. 2.Key Lab of Mental HealthChinese Academy of SciencesBeijingP.R.China

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