A signal subspace approach for modeling the hemodynamic response function in fMRI.

@article{HosseinZadeh2003ASS,
  title={A signal subspace approach for modeling the hemodynamic response function in fMRI.},
  author={Gholam-Ali Hossein-Zadeh and Babak A. Ardekani and Hamid Soltanian-Zadeh},
  journal={Magnetic resonance imaging},
  year={2003},
  volume={21 8},
  pages={835-43}
}
Many fMRI analysis methods use a model for the hemodynamic response function (HRF). Common models of the HRF, such as the Gaussian or Gamma functions, have parameters that are usually selected a priori by the data analyst. A new method is presented that characterizes the HRF over a wide range of parameters via three basis signals derived using principal component analysis (PCA). Covering the HRF variability, these three basis signals together with the stimulation pattern define signal subspaces… CONTINUE READING
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