Lomonosov Moscow State University, Institute of Physical and Chemical Grounds of Neuronet Functions and Artificial Intelligence, Moscow 119991, Russia.
Emanuel Institute of Biochemical Physics, Moscow 119334, Russia.
ACS Chem Neurosci. 2020 Mar 4;11(5):763-771. doi: 10.1021/acschemneuro.9b00671. Epub 2020 Feb 24.
A kinetic model describing the pulse of increased oxygen concentrations and the subsequent changes in the concentration of -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 -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 -acetylaspartate. The kinetic model allows the dynamic behavior of previously unmeasurable metabolites, namely, products of the hydrolysis of -acetylaspartate, such as acetic and aspartic acid, and glutamic acid to be predicted. Kinetic modeling of the BOLD signal and the subsequent hydrolysis of -acetylaspartate provides information about the biochemical and dynamic characteristics of some pathological conditions (schizophrenia, Canavan disease, and the superexcitation of the neural network).
本文提出了一个描述人类大脑兴奋组织对外部信号响应时氧浓度脉冲及其随后变化的动力学模型。该模型基于生化数据、BOLD 信号和-乙酰天冬氨酸的多阶段非线性动态过程。多个稳定状态的存在解释了系统的触发效应。底物的抑制作用是-乙酰天冬氨酸自动稳定的必要因素。该动力学模型允许预测以前无法测量的代谢物(即-乙酰天冬氨酸水解的产物,如乙酸和天冬氨酸以及谷氨酸)的动态行为。BOLD 信号和随后的-乙酰天冬氨酸水解的动力学建模提供了有关某些病理状况(精神分裂症、Canavan 病和神经网络超兴奋)的生化和动态特征的信息。