Blood oxygenation level dependent (BOLD)contrast based functional magnetic resonance imaging (fMRI)can be used to detect brain neural activities. In this paper, a new procedure is presented which allows the estimation of the hemodynamic approach from BOLD responses. The procedure is based on Friston proposed dynamic model and Agnes Aubert proposed a correlation model between activation and motabolism, in this case, adopted to characterize hemodynamic responses in functional magnetic resonance imaging (fMRI). This work represents a fundamental improvement over existing approaches to system identification using nonlinear hemodynamic models. The model can simulate the change of oxygen motabolism, de-oxyhemoglobine, cerebral blood flow and volume to brain activation. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Zeng, L., Wang, Y., & Chen, H. (2007). BOLD dynamic model of functional MRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4682 LNAI, pp. 324–329). Springer Verlag. https://doi.org/10.1007/978-3-540-74205-0_36
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