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形态多样性强烈限制着突触连接和可塑性。

Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity.

机构信息

Blue Brain Project, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.

Faculty of Mathematics and Statistics, University of St. Gallen, Bodanstrasse 6, CH-9000 St. Gallen, Switzerland.

出版信息

Cereb Cortex. 2017 Sep 1;27(9):4570-4585. doi: 10.1093/cercor/bhx150.

Abstract

Synaptic connectivity between neurons is naturally constrained by the anatomical overlap of neuronal arbors, the space on the axon available for synapses, and by physiological mechanisms that form synapses at a subset of potential synapse locations. What is not known is how these constraints impact emergent connectivity in a circuit with diverse morphologies. We investigated the role of morphological diversity within and across neuronal types on emergent connectivity in a model of neocortical microcircuitry. We found that the average overlap between the dendritic and axonal arbors of different types of neurons determines neuron-type specific patterns of distance-dependent connectivity, severely constraining the space of possible connectomes. However, higher order connectivity motifs depend on the diverse branching patterns of individual arbors of neurons belonging to the same type. Morphological diversity across neuronal types, therefore, imposes a specific structure on first order connectivity, and morphological diversity within neuronal types imposes a higher order structure of connectivity. We estimate that the morphological constraints resulting from diversity within and across neuron types together lead to a 10-fold reduction of the entropy of possible connectivity configurations, revealing an upper bound on the space explored by structural plasticity.

摘要

神经元之间的突触连接受到神经元树突和轴突的空间重叠、生理机制等因素的自然限制,这些机制使突触形成于潜在突触位置的一部分。目前尚不清楚这些限制如何影响具有不同形态的电路中的新兴连接。我们研究了神经元类型内和类型间的形态多样性对新皮质微电路模型中新兴连接的作用。我们发现,不同类型神经元的树突和轴突树突之间的平均重叠决定了神经元类型特异性的距离依赖性连接模式,严重限制了可能的连接组的空间。然而,更高阶的连接模式取决于属于同一类型的单个神经元的分支模式的多样性。因此,神经元类型间的形态多样性对一阶连接施加了特定的结构,神经元类型内的形态多样性对连接施加了更高阶的结构。我们估计,来自神经元类型内和类型间的多样性的形态限制共同导致可能的连接配置的熵减少了 10 倍,揭示了结构可塑性探索的空间上限。

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