Dynamic model for the tissue concentration and oxygen saturation of hemoglobin in relation to blood volume, flow velocity, and oxygen consumption: Implications for functional neuroimaging and coherent hemodynamics spectroscopy (CHS).
Dynamic model for the tissue concentration and oxygen saturation of hemoglobin in relation to blood volume, flow velocity, and oxygen consumption: Implications for functional neuroimaging and coherent hemodynamics spectroscopy (CHS).
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DOI：
10.1016/j.neuroimage.2013.03.065
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发表时间：
2014-01-15
期刊：
影响因子：
5.7
通讯作者：
Fantini, Sergio
中科院分区：
文献类型：
--
作者：
Fantini, Sergio
关键词：
本文提出了一个动态模型，量化了组织中血红蛋白浓度和氧饱和度的时间演变，由时变的血液动力学和代谢参数决定：血容量、流速和耗氧量。这种多室模型确定了构成组织微血管系统的小动脉、毛细血管和小静脉的独立贡献，并将它们视为一个完整的网络，而没有对微血管床的结构和形态细节进行假设。模型中的一个关键参数是血液通过毛细血管的有效传递时间及其相关的氧气从血红蛋白释放到组织的概率，由氧气扩散速率常数描述。该模型在时域内的解预测了基于血流动力学的神经成像技术（如功能近红外光谱（fNIRS）和功能磁共振成像（fMRI））对大脑激活的响应信号。在频域，该模型产生了基于相量表示的解析解，为相干血流动力学振荡的定量光谱提供了框架。我将这种新技术称为相干血流动力学光谱学（CHS），本文描述了如何将其用于评估大脑自动调节和研究由各种周期性生理挑战、大脑激活方案或身体运动引起的血流动力学振荡。
This article presents a dynamic model that quantifies the temporal evolution of the concentration and oxygen saturation of hemoglobin in tissue, as determined by time-varying hemodynamic and metabolic parameters: blood volume, flow velocity, and oxygen consumption. This multi-compartment model determines separate contributions from arterioles, capillaries, and venules that comprise the tissue microvasculature, and treats them as a complete network, without making assumptions on the details of the architecture and morphology of the microvascular bed. A key parameter in the model is the effective blood transit time through the capillaries and its associated probability of oxygen release from hemoglobin to tissue, as described by a rate constant for oxygen diffusion. The solution of the model in the time domain predicts the signals measured by hemodynamic-based neuroimaging techniques such as functional near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI) in response to brain activation. In the frequency domain, the model yields an analytical solution based on a phasor representation that provides a framework for quantitative spectroscopy of coherent hemodynamic oscillations. I term this novel technique coherent hemodynamics spectroscopy (CHS), and this article describes how it can be used for the assessment of cerebral autoregulation and the study of hemodynamic oscillations resulting from a variety of periodic physiological challenges, brain activation protocols, or physical maneuvers.
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影响因子：
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作者：
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影响因子：
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DOI：
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