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Effects of arterial blood gas levels on cerebral blood flow and oxygen transport

机译:动脉血气水平对脑血流量和氧气输送的影响

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Near Infra-Red Spectroscopy (NIRS) is a non-invasive technique which can be used to investigate cerebral haemodynamics and oxygenation with high temporal resolution. When combined with measures of Cerebral Blood Flow (CBF), it has the potential to provide information about oxygen delivery, utilization and metabolism. However, the interpretation of experimental results is complex. Measured NIRS signals reflect both scalp and cerebral haemodynamics and are influenced by many factors. The relationship between Arterial Blood Pressure (ABP) and CBF has been widely investigated and it central to cerebral autoregulation. Changes in arterial blood gas levels have a significant effect on ABP and CBF and these relationships have been quantified previously. The relationship between ABP and NIRS signals, however, has not been fully characterized. In this paper, we thus investigate the influence of changes in arterial blood gas levels both experimentally and theoretically, using an extended mathematical model of cerebral blood flow and metabolism, in terms of the phase angle at 0.1 Hz. The autoregulation response is found to be strongly dependent upon the carbon dioxide (CO2) partial pressure but much less so upon changes in arterial oxygen saturation (SaO2). The results for phase angle sensitivity to CO2 show good agreement between experimental and theory, but a poorer agreement is found for the sensitivity to SaO2.
机译:近红外光谱法(NIRS)是一种非侵入性技术,可用于以高时间分辨率研究脑血流动力学和氧合。与脑血流量(CBF)结合使用时,它有潜力提供有关氧气输送,利用和代谢的信息。但是,对实验结果的解释很复杂。测得的NIRS信号反映了头皮和大脑的血流动力学,并受到许多因素的影响。动脉血压(CBP)与动脉血压之间的关系已被广泛研究,并且对脑自动调节至关重要。动脉血气水平的变化对ABP和CBF有显着影响,并且这些关系以前已被量化。但是,ABP和NIRS信号之间的关系尚未完全表征。因此,在本文中,我们使用脑血流和新陈代谢的扩展数学模型,以0.1 Hz的相角,在实验和理论上研究了动脉血气水平变化的影响。发现自动调节响应强烈依赖于二氧化碳(CO2)分压,而很大程度上取决于动脉血氧饱和度(SaO2)的变化。相角对CO2的敏感性结果表明,实验和理论之间的一致性很好,但是对SaO2的敏感性较差。

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