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. This article is protected by copyright. All rights reserved.
CitationZambri 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.
SponsorsThe authors would like to thank the anonymous referee for his/her very valuable remarks and suggestions.
Is Supplemented ByDjellouli, 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