Rouhani Morteza, Baer Steven M, Crook Sharon M
School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, USA.
J Biol Dyn. 2021 May;15(sup1):S62-S80. doi: 10.1080/17513758.2020.1839136. Epub 2020 Dec 4.
Here we present a novel application of stage-structured population modelling to explore the properties of neuronal dendrites with spines. Dendritic spines are small protrusions that emanate from the dendritic shaft of several functionally important neurons in the cerebral cortex. They are the postsynaptic sites of over 90% of excitatory synapses in the mammalian brain. Here, we formulate a stage-structured population model of a passive dendrite with activity-dependent spines using a continuum approach. This computational study models three dynamic populations of activity-dependent spine types, corresponding to the anatomical categories of stubby, mushroom, and thin spines. In this stage-structured population model, transitions between spine type populations are driven by calcium levels that depend on local electrical activity. We explore the influence of the changing spine populations and spine types on the development of electrical propagation pathways in response to repetitive synaptic input, and which input frequencies are best for facilitating these pathways.
在此，我们展示了阶段结构种群建模的一种新应用，以探索具有棘突的神经元树突的特性。树突棘是从大脑皮层中几个功能重要的神经元的树突轴发出的小突起。它们是哺乳动物大脑中超过90%的兴奋性突触的突触后位点。在此，我们使用连续介质方法构建了一个具有活动依赖性棘突的被动树突的阶段结构种群模型。这项计算研究对三种活动依赖性棘突类型的动态种群进行了建模，分别对应于粗短型、蘑菇型和细长型棘突的解剖学类别。在这个阶段结构种群模型中，棘突类型种群之间的转变由依赖于局部电活动的钙水平驱动。我们探讨了不断变化的棘突种群和棘突类型对响应重复突触输入的电传播通路发育的影响，以及哪种输入频率最有利于促进这些通路。
