Vazquez Alberto L, Cohen Eric R, Gulani Vikas, Hernandez-Garcia Luis, Zheng Ying, Lee Gregory R, Kim Seong-Gi, Grotberg James B, Noll Douglas C
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2108, USA.
Neuroimage. 2006 Oct 1;32(4):1642-55. doi: 10.1016/j.neuroimage.2006.04.195. Epub 2006 Jul 24.
Changes in the cerebral blood flow (CBF) baseline produce significant changes to the hemodynamic response. This work shows that increases in the baseline blood flow level produce blood oxygenation-level dependent (BOLD) and blood flow responses that are slower and lower in amplitude, while decreases in the baseline blood flow level produce faster and higher amplitude hemodynamic responses. This effect was characterized using a vascular model of the hemodynamic response that separated arterial blood flow response from the venous blood volume response and linked the input stimulus to the vascular response. The model predicted the baseline blood flow level effects to be dominated by changes in the arterial vasculature. Specifically, it predicted changes in the arterial blood flow time constant and venous blood volume time constant parameters of +294% and -24%, respectively, for a 27% increase in the baseline blood flow. The vascular model performance was compared to an empirical model of the hemodynamic response. The vascular and empirical hemodynamic models captured most of the baseline blood flow level effects observed and can be used to correct for these effects in fMRI data. While the empirical hemodynamic model is easy to implement, it did not incorporate any explicit physiological information.
脑血流(CBF)基线的变化会对血流动力学反应产生显著影响。这项研究表明,基线血流水平的升高会导致血氧水平依赖(BOLD)和血流反应变慢且幅度降低,而基线血流水平的降低则会产生更快且幅度更高的血流动力学反应。利用血流动力学反应的血管模型对这种效应进行了表征,该模型将动脉血流反应与静脉血容量反应区分开来,并将输入刺激与血管反应联系起来。该模型预测基线血流水平效应主要由动脉血管系统的变化主导。具体而言,对于基线血流增加27%的情况,它预测动脉血流时间常数和静脉血容量时间常数参数分别变化+294%和-24%。将血管模型的性能与血流动力学反应的经验模型进行了比较。血管和经验血流动力学模型捕捉到了观察到的大部分基线血流水平效应,可用于校正功能磁共振成像(fMRI)数据中的这些效应。虽然经验血流动力学模型易于实施,但它没有纳入任何明确的生理信息。