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权衡彼得斯法则中的证据:神经元形态能预测连接性吗?

Weighing the Evidence in Peters' Rule: Does Neuronal Morphology Predict Connectivity?

作者信息

Rees Christopher L, Moradi Keivan, Ascoli Giorgio A

机构信息

Kransnow Institute for Advanced Study, George Mason University, Fairfax, VA 22030, USA.

Kransnow Institute for Advanced Study, George Mason University, Fairfax, VA 22030, USA.

出版信息

Trends Neurosci. 2017 Feb;40(2):63-71. doi: 10.1016/j.tins.2016.11.007. Epub 2016 Dec 29.

Abstract

Although the importance of network connectivity is increasingly recognized, identifying synapses remains challenging relative to the routine characterization of neuronal morphology. Thus, researchers frequently employ axon-dendrite colocations as proxies of potential connections. This putative equivalence, commonly referred to as Peters' rule, has been recently studied at multiple levels and scales, fueling passionate debates regarding its validity. Our critical literature review identifies three conceptually distinct but often confused applications: inferring neuron type circuitry, predicting synaptic contacts among individual cells, and estimating synapse numbers within neuron pairs. Paradoxically, at the originally proposed cell-type level, Peters' rule remains largely untested. Leveraging Hippocampome.org, we validate and refine the relationship between axonal-dendritic colocations and synaptic circuits, clarifying the interpretation of existing and forthcoming data.

摘要

尽管网络连接的重要性日益得到认可,但相对于神经元形态的常规特征描述而言,识别突触仍然具有挑战性。因此,研究人员经常采用轴突 - 树突共定位作为潜在连接的替代指标。这种假定的等效性,通常被称为彼得斯法则,最近已在多个层次和尺度上进行了研究,引发了关于其有效性的激烈辩论。我们的批判性文献综述确定了三种概念上不同但经常混淆的应用:推断神经元类型的电路、预测单个细胞之间的突触接触以及估计神经元对中的突触数量。矛盾的是,在最初提出的细胞类型水平上,彼得斯法则在很大程度上仍未得到验证。利用Hippocampome.org,我们验证并完善了轴突 - 树突共定位与突触回路之间的关系,阐明了对现有和即将出现的数据的解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ffa/5285450/b5520d9ca0d7/nihms834918f1.jpg

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