Kinetic Modeling of the Blood Oxygenation Level Dependent (BOLD) Signals and Biocatalytic Reactions Observed in the Human Brain Using MRI: An Analysis of Normal and Pathological Conditions.,ACS Chemical Neuroscience

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Kinetic Modeling of the Blood Oxygenation Level Dependent (BOLD) Signals and Biocatalytic Reactions Observed in the Human Brain Using MRI: An Analysis of Normal and Pathological Conditions.
ACS Chemical Neuroscience ( IF 4.1 ) Pub Date : 2020-02-24 , DOI: 10.1021/acschemneuro.9b00671
Sergey D Varfolomeev _{1,

2} , Valeriy I Bykov ₂ , Nataliya A Semenova ₂ , Svetlana B Tsybenova ₂

Affiliation

A kinetic model describing the pulse of increased oxygen concentrations and the subsequent changes in the concentration of N-acetylaspartate in the excited nervous tissue of the human brain in response to an external signal is presented. The model is based on biochemical data, a multistage and nonlinear dynamic process the BOLD signal and N-acetylaspartate. The existence of multiple steady states explains the triggering effect of the system. The inhibitory effect of the substrate is a necessary factor for the autostabilization of N-acetylaspartate. The kinetic model allows the dynamic behavior of previously unmeasurable metabolites, namely, products of the hydrolysis of N-acetylaspartate, such as acetic and aspartic acid, and glutamic acid to be predicted. Kinetic modeling of the BOLD signal and the subsequent hydrolysis of N-acetylaspartate provides information about the biochemical and dynamic characteristics of some pathological conditions (schizophrenia, Canavan disease, and the superexcitation of the neural network).

中文翻译：

使用MRI在人脑中观察到的血氧依赖水平（BOLD）信号和生物催化反应的动力学建模：正常和病理状况的分析。

建立了一个动力学模型，该模型描述了氧浓度增加的脉冲以及响应外部信号的人脑兴奋神经组织中N-乙酰天门冬氨酸浓度随后的变化。该模型基于生化数据，BOLD信号和N-乙酰天门冬氨酸的多阶段非线性动力学过程。多个稳态的存在解释了系统的触发效果。底物的抑制作用是N-乙酰天门冬氨酸自稳定的必要因素。动力学模型可以预测以前无法测量的代谢物的动态行为，即，预测N-乙酰天门冬氨酸（例如乙酸和天冬氨酸）与谷氨酸水解的产物。

更新日期：2020-02-24

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