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Measurements of coherent hemodynamics to enrich the physiological information provided by near-infrared spectroscopy (NIRS) and functional MRI

机译:测量相干血流动力学以丰富由近红外光谱(NIRS)和功能MRI提供的生理信息

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Hemodynamic-based neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and near-infrared spectroscopy (NIRS) sense hemoglobin concentration in cerebral tissue. The local concentration of hemoglobin, which is differentiated into oxy- and deoxy-hemoglobin by NIRS, features spontaneous oscillations over time scales of 10-100 s in response to a number of local and systemic physiological processes. If one of such processes becomes the dominant source of cerebral hemodynamics, there is a high coherence between this process and the associated hemodynamics. In this work, we report a method to identify such conditions of coherent hemodynamics, which may be exploited to study and quantify microvasculature and microcirculation properties. We discuss how a critical value of significant coherence may depend on the specific data collection scheme (for example, the total acquisition time) and the nature of the hemodynamic data (in particular, oxy- and deoxy-hemoglobin concentrations measured with NIRS show an intrinsic level of correlation that must be taken into account). A frequency-resolved study of coherent hemodynamics is the basis for the new technique of coherent hemodynamics spectroscopy (CHS), which aims to provide measures of cerebral blood flow and cerebral autoregulation. While these concepts apply in principle to both fMRI and NIRS data, in this article we focus on NIRS data.
机译:功能性磁共振成像(fMRI)和近红外光谱(NIRS)等基于血流动力学的神经影像技术可检测脑组织中的血红蛋白浓度。血红蛋白的局部浓度(通过NIRS区分为氧合和脱氧血红蛋白)具有响应于许多局部和全身生理过程的10-100 s时间范围内的自发振荡。如果这些过程之一成为大脑血流动力学的主要来源,则该过程与相关的血流动力学之间将具有高度的连贯性。在这项工作中,我们报告了一种方法,以确定相干血液动力学的这种情况,可用于研究和量化微脉管系统和微循环特性。我们讨论了显着一致性的临界值如何取决于特定的数据收集方案(例如,总采集时间)和血液动力学数据的性质(尤其是用NIRS测量的氧合和脱氧血红蛋白浓度显示出内在的内在联系)。必须考虑的相关性级别)。相干血流动力学的频率分辨研究是相干血流动力学光谱学(CHS)新技术的基础,该技术旨在提供脑血流量和脑自动调节的测量方法。虽然这些概念原则上适用于fMRI和NIRS数据,但在本文中,我们重点关注NIRS数据。

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