A model of brain circulation and metabolism: NIRS signal changes during physiological challenges.
A model of brain circulation and metabolism: NIRS signal changes during physiological challenges.
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DOI：
10.1371/journal.pcbi.1000212
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发表时间：
2008-11
影响因子：
4.3
通讯作者：
Cooper CE
中科院分区：
文献类型：
--
作者：
Banaji M;Mallet A;Elwell CE;Nicholls P;Cooper CE
我们构建了大脑循环和能量代谢的模型。该模型旨在解释实验数据并预测循环和新陈代谢对各种刺激的反应，特别是动脉血压、二氧化碳水平、氧气水平和功能激活的变化。重要的模型输出是对血流、代谢率和可使用近红外光谱 (NIRS) 无创测量的数量的预测，包括脑血量和氧合以及细胞色素 c 氧化酶中 CuA 中心的氧化还原状态。现在，这些量经常在临床环境中进行测量。然而，测量结果与潜在生理事件之间的关系通常很复杂。我们预计该模型将在帮助理解 NIRS 信号，特别是难以解释的细胞色素信号方面发挥重要作用。提出了一系列模型模拟，并将模型输出与从体内和体外环境中获得的已发表数据进行比较。这些比较令人鼓舞，表明该模型能够重现观察到的响应各种刺激的行为。无创监测大脑是解决各种生物学和临床问题的关键。近红外光谱（NIRS）是一种可以测量大脑颜色变化的技术。大脑对氧气有绝对的需求；光谱观察到的颜色变化是由于蛋白质输送（血红蛋白）和消耗（线粒体细胞色素 C 氧化酶）氧气造成的。血红蛋白与氧气结合时会变色。细胞色素c氧化酶的变化是由于酶中特定铜金属中心的电子占据（还原）造成的。人们对这种酶的状态在各种情况下变化的方式知之甚少。目前还没有理论模型可以用于同时解码这些蛋白质的所有光谱变化，因此可以从 NIRS 信号中提取有关潜在生物化学和生理学的有限信息。因此，我们构建了这样一个模型，确保它与科学文献、体内数据和基本热力学原理一致。该模型能够预测对各种刺激的生理和光谱反应，包括大脑活动和氧气输送的变化。它可能对广泛的临床和生命科学用户具有重要价值。
We construct a model of brain circulation and energy metabolism. The model is designed to explain experimental data and predict the response of the circulation and metabolism to a variety of stimuli, in particular, changes in arterial blood pressure, CO2 levels, O2 levels, and functional activation. Significant model outputs are predictions about blood flow, metabolic rate, and quantities measurable noninvasively using near-infrared spectroscopy (NIRS), including cerebral blood volume and oxygenation and the redox state of the CuA centre in cytochrome c oxidase. These quantities are now frequently measured in clinical settings; however the relationship between the measurements and the underlying physiological events is in general complex. We anticipate that the model will play an important role in helping to understand the NIRS signals, in particular, the cytochrome signal, which has been hard to interpret. A range of model simulations are presented, and model outputs are compared to published data obtained from both in vivo and in vitro settings. The comparisons are encouraging, showing that the model is able to reproduce observed behaviour in response to various stimuli. Monitoring the brain noninvasively is key to solving various biological and clinical problems. Near-infrared spectroscopy (NIRS) is a technique that can measure changes in the colour of the brain. The brain has an absolute requirement for oxygen; the spectroscopically observed colour changes are due to the proteins that deliver (haemoglobin) and consume (mitochondrial cytochrome c oxidase) oxygen. Haemoglobin changes colour when it binds oxygen. The changes in cytochrome c oxidase are due to the electron occupancy (reduction) of a particular copper metal centre in the enzyme. The way that the state of this enzyme changes in various situations is poorly understood. Currently there is no theoretical model that can be used to decode simultaneously all of the spectroscopic changes in these proteins, and thus limited information about the underlying biochemistry and physiology can be extracted from the NIRS signals. We therefore constructed such a model, ensuring that it is consistent with the scientific literature, in vivo data, and the underlying thermodynamic principles. The model was able to predict the physiological and spectroscopic responses to a wide range of stimuli, including changes in brain activity and oxygen delivery. It is likely to be of significant value to a wide range of clinical and life science users.
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影响因子：
4.1
作者：
Cooper, CE;Delpy, DT;Nemoto, EM
通讯作者：
Nemoto, EM
影响因子：
3.4
作者：
Cortassa, S;Aon, MA;O'Rourke, B
通讯作者：
O'Rourke, B
影响因子：
8.3
作者：
Al-Rawi, Pippa G.;Kirkpatrick, Peter J.
通讯作者：
Kirkpatrick, Peter J.
影响因子：
3.3
作者：
HAMPSON, NB;CAMPORESI, EM;PIANTADOSI, CA
通讯作者：
PIANTADOSI, CA
DOI：
10.1097/00004647-199906000-00002
发表时间：
1999-06-01
影响因子：
6.3
作者：
Heekeren, HR;Kohl, M;Villringer, A
通讯作者：
Villringer, A