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神经化学移动非线性相互作用矩阵:探索性计算模型。

The neurochemical mobile with non-linear interaction matrix: an exploratory computational model.

机构信息

Department of Biomedical Engineering, Georgia Institute of Technology and Emory University Medical School, Atlanta, GA 30332-0535, USA.

出版信息

Pharmacopsychiatry. 2013 May;46 Suppl 1:S53-63. doi: 10.1055/s-0033-1337920. Epub 2013 Apr 18.

Abstract

Several years ago, the "neurochemical mobile" was introduced as a visual tool for explaining the different balances between neurotransmitters in the brain and their role in mental disorders. Here we complement this concept with a non-linear computational systems model representing the direct and indirect interactions between neurotransmitters, as they have been described in the "neurochemical interaction matrix." The model is constructed within the framework of biochemical systems theory, which facilitates the mapping of numerically ill-characterized systems into a mathematical and computational construct that permits a variety of analyses. Simulations show how short- and long-term perturbations in any of the neurotransmitters migrate through the entire system, thereby affecting the balances within the mobile. In cases of short-term alterations, transients are of particular interest, whereas long-term changes shed light on persistently altered, allostatic states, which in mental diseases and sleep disorders could be due to a combination of unfavorable factors, resulting from a specific genetic predisposition, epigenetic effects, disease, or the repeated use of drugs, such as opioids and amphetamines.

摘要

几年前,“神经化学移动模型”被引入作为一种可视化工具,用于解释大脑中神经递质之间的不同平衡及其在精神障碍中的作用。在这里,我们用一个代表神经递质之间直接和间接相互作用的非线性计算系统模型来补充这个概念,这些相互作用如“神经化学相互作用矩阵”中所描述的那样。该模型是在生化系统理论的框架内构建的,这使得数值上特征不明显的系统能够映射到一个数学和计算结构中,从而允许进行各种分析。模拟表明,任何神经递质的短期和长期扰动如何在整个系统中传播,从而影响移动模型中的平衡。在短期变化的情况下,瞬态特别有趣,而长期变化则揭示了持续改变的、适应的状态,在精神疾病和睡眠障碍中,这可能是由于特定的遗传易感性、表观遗传效应、疾病或反复使用药物(如阿片类药物和安非他命)等不利因素的综合作用造成的。

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