Dataset for: An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses
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AbstractWe propose a computational strategy that falls into the category of prediction/correction iterative-type approaches, for calibrating the hemodynamic model introduced by Friston et al. (2000). The proposed method is employed to estimate consecutively the values of the biophysiological system parameters and the external stimulus characteristics of the model. Numerical results corresponding to both synthetic and real functional Magnetic Resonance Imaging (fMRI) measurements for a single stimulus as well as for multiple stimuli are reported to highlight the capability of this computational methodology to fully calibrate the considered hemodynamic model.
CitationDjellouli, R., Zambri, B., Meriem Taous Laleg-Kirati, & Admin, W. (2017). Dataset for: An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses. Figshare. https://doi.org/10.6084/m9.figshare.c.3734509
Is Supplement ToZambri B, Djellouli R, Laleg-Kirati M (2017) An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses. International Journal for Numerical Methods in Biomedical Engineering. Available: http://dx.doi.org/10.1002/cnm.2875.