A Model of Brain Circulation and Metabolism: NIRS Signal Changes during Physiological Challenges

被引：67

作者：

Banaji, Murad ^{[1
]}

Mallet, Alfred ^{[2
]}

Elwell, Clare E. ^{[2
]}

Nicholls, Peter ^{[1
]}

Cooper, Chris E. ^{[1
]}

机构：

[1] Univ Essex, Dept Biol Sci, Colchester CO4 3SQ, Essex, England

[2] UCL, Dept Med Phys & Bioengn, London, England

来源：

PLOS COMPUTATIONAL BIOLOGY | 2008年 / 4卷 / 11期

基金：

英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会;

关键词：

D O I：

10.1371/journal.pcbi.1000212

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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, O-2 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 Cu-A 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.

引用

页数：15

共 70 条

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