Abstract
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.
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© 2007 Springer-Verlag Berlin Heidelberg
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Zeng, L., Wang, Y., Chen, H. (2007). BOLD Dynamic Model of Functional MRI. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_36
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DOI: https://doi.org/10.1007/978-3-540-74205-0_36
Publisher Name: Springer, Berlin, Heidelberg
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