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Reconstructing the Three-Dimensional GABAergic Microcircuit of the Striatum

机译:重建纹状体的三维GABA能微电路

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A system's wiring constrains its dynamics, yet modelling of neural structures often overlooks the specific networks formed by their neurons. We developed an approach for constructing anatomically realistic networks and reconstructed the GABAergic microcircuit formed by the medium spiny neurons (MSNs) and fast-spiking interneurons (FSIs) of the adult rat striatum. We grew dendrite and axon models for these neurons and extracted probabilities for the presence of these neurites as a function of distance from the soma. From these, we found the probabilities of intersection between the neurites of two neurons given their inter-somatic distance, and used these to construct three-dimensional striatal networks. The MSN dendrite models predicted that half of all dendritic spines are within 100μm of the soma. The constructed networks predict distributions of gap junctions between FSI dendrites, synaptic contacts between MSNs, and synaptic inputs from FSIs to MSNs that are consistent with current estimates. The models predict that to achieve this, FSIs should be at most 1% of the striatal population. They also show that the striatum is sparsely connected: FSI-MSN and MSN-MSN contacts respectively form 7% and 1.7% of all possible connections. The models predict two striking network properties: the dominant GABAergic input to a MSN arises from neurons with somas at the edge of its dendritic field; and FSIs are inter-connected on two different spatial scales: locally by gap junctions and distally by synapses. We show that both properties influence striatal dynamics: the most potent inhibition of a MSN arises from a region of striatum at the edge of its dendritic field; and the combination of local gap junction and distal synaptic networks between FSIs sets a robust input-output regime for the MSN population. Our models thus intimately link striatal micro-anatomy to its dynamics, providing a biologically grounded platform for further study.
机译:系统的布线限制了其动力学,但是神经结构的建模通常会忽略由它们的神经元形成的特定网络。我们开发了一种构造解剖学现实网络的方法,并重建了成年大鼠纹状体的中棘神经元(MSNs)和快速掺入的中间神经元(FSI)形成的GABA能微电路。我们为这些神经元建立了树突和轴突模型,并提取了这些神经突的存在概率,这些概率是距躯体距离的函数。从这些结果中,我们找到了两个神经元神经突之间的相交概率(给定了它们之间的体细胞间距离),并用它们来构建三维纹状体网络。 MSN树突模型预测,所有树突棘的一半在躯体的100μm以内。所构建的网络预测FSI树突之间的间隙连接分布,MSN之间的突触接触以及从FSI到MSN的突触输入,这些与当前估计一致。这些模型预测,要实现这一目标,FSI最多应为纹状体人口的1%。他们还显示纹状体连接稀疏:FSI-MSN和MSN-MSN触点分别占所有可能连接的7%和1.7%。这些模型预测了两个惊人的网络特性:MSN的主要GABA能输入来自树突场边缘具有躯体的神经元。 FSI和FSI在两个不同的空间尺度上相互连接:局部通过缝隙连接和远侧通过突触。我们显示这两个属性都影响纹状体动力学:对MSN的最强抑制作用来自其树突场边缘的纹状体区域; FSI之间的局部间隙连接和远端突触网络的结合为MSN人群提供了强大的输入输出机制。因此,我们的模型将纹状体微解剖结构与其动力学紧密联系在一起,为进一步研究提供了生物学基础的平台。

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