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A stochastic approach to serotonergic fibers in mental disorders
Biochimie ( IF 3.9 ) Pub Date : 2018-07-26 , DOI: 10.1016/j.biochi.2018.07.014
Skirmantas Janušonis , Nils Detering

Virtually all brain circuits are physically embedded in a three-dimensional matrix of fibers that release 5-hydroxytryptamine (5-HT, serotonin). The density of this matrix varies across brain regions and cortical laminae, and it is altered in some mental disorders, including Major Depressive Disorder and Autism Spectrum Disorder. We investigate how the regional structure of the serotonergic matrix depends on the stochastic behavior of individual serotonergic fibers and introduce a new framework for the quantitative analysis of this behavior. In particular, we show that a step-wise random walk, based on the von Mises-Fisher probability distribution, can provide a realistic and mathematically concise description of these fibers. We also consider other stochastic models, including the fractional Brownian motion. The proposed approach seeks to advance the current understanding of the ascending reticular activating system (ARAS) and may also support future theory-guided therapeutic approaches.



中文翻译:

精神疾病中血清素能纤维的随机治疗方法

实际上,所有脑回路都物理地嵌入纤维的三维矩阵中,该矩阵释放5-羟色胺(5-HT,5-羟色胺)。该基质的密度在大脑区域和皮层中变化,并且在某些精神障碍中发生了改变,包括重度抑郁症和自闭症谱系障碍。我们研究了5-羟色胺能基质的区域结构如何取决于单个5-羟色胺能纤维的随机行为,并为这种行为的定量分析引入了新的框架。特别是,我们表明基于von Mises-Fisher概率分布的逐步随机游走可以提供对这些纤维的现实且数学上简洁的描述。我们还考虑了其​​他随机模型,包括分数布朗运动。

更新日期:2018-07-26
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