Serotonergic Axons as Fractional Brownian Motion Paths: Insights Into the Self-Organization of Regional Densities
Serotonergic Axons as Fractional Brownian Motion Paths: Insights Into the Self-Organization of Regional Densities
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DOI：
10.3389/fncom.2020.00056
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发表时间：
2020-06-24
影响因子：
3.2
通讯作者：
Vojta, Thomas
中科院分区：
文献类型：
--
作者：
Janusonis, Skirmantas;Detering, Nils;Vojta, Thomas
所有脊椎动物的大脑都含有密集的细纤维基质，这些纤维释放血清素（5-羟色胺），这是一种调节广泛的神经、胶质和血管过程的神经递质。该矩阵密度的扰动与许多精神障碍有关，包括自闭症和抑郁症，但其自组织和可塑性仍然知之甚少。我们引入了一个基于反射分数布朗运动（FBM）的模型，这是一个严格定义的随机过程，并表明它概括了区域5 -羟色胺能纤维密度的一些关键特征。具体来说，我们使用超级计算模拟来模拟二维脑样区域的纤维fbm路径，并证明所得到的稳态分布近似于5 -羟色胺转运体（成人大脑中5 -羟色胺能轴突的标志）免疫染色的物理脑切片中的纤维分布。我们认为这个框架可以支持5 -羟色胺能基质的预测描述和操作，并且可以进一步扩展到包含纤维及其环境的详细物理特性。
All vertebrate brains contain a dense matrix of thin fibers that release serotonin (5-hydroxytryptamine), a neurotransmitter that modulates a wide range of neural, glial, and vascular processes. Perturbations in the density of this matrix have been associated with a number of mental disorders, including autism and depression, but its self-organization and plasticity remain poorly understood. We introduce a model based on reflected Fractional Brownian Motion (FBM), a rigorously defined stochastic process, and show that it recapitulates some key features of regional serotonergic fiber densities. Specifically, we use supercomputing simulations to model fibers as FBM-paths in two-dimensional brain-like domains and demonstrate that the resultant steady state distributions approximate the fiber distributions in physical brain sections immunostained for the serotonin transporter (a marker for serotonergic axons in the adult brain). We suggest that this framework can support predictive descriptions and manipulations of the serotonergic matrix and that it can be further extended to incorporate the detailed physical properties of the fibers and their environment.