Structural properties of the Caenorhabditis elegans neuronal network.
Structural properties of the Caenorhabditis elegans neuronal network.
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DOI：
10.1371/journal.pcbi.1001066
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发表时间：
2011-02-03
影响因子：
4.3
通讯作者：
Chklovskii DB
中科院分区：
文献类型：
--
作者：
Varshney LR;Chen BL;Paniagua E;Hall DH;Chklovskii DB
尽管最近对重建神经元网络感兴趣，但在单个突触水平上的完整接线图仍然很少，并且它们可以提供的功能的见解仍然不清楚。即使是秀丽隐杆线虫，其神经网络相对较小，并且在动物之间是刻板的，已发表的接线图既不准确也不完整，也不自洽。利用白色等人的材料和新的电子显微照片，我们组装了完整的，自洽的间隙连接和化学突触网络的雌雄同体C。优美的我们提出了一种方法来可视化的布线图，它反映了网络信号流。我们计算网络的统计和拓扑属性，如度分布，突触多重性和小世界属性，这有助于理解网络信号传播。我们确定了可能在信息处理中发挥核心作用的神经元，以及可以作为网络功能模块的网络图案。我们探索传播的神经元活动响应感官或人工刺激，使用线性系统理论，并找到几个活动模式，可以作为基板的先前描述的行为。最后，我们分析了差距连接与化学突触网络之间的相互作用。由于C. elegans网络，如多样性和基序分布与哺乳动物新皮层中发现的相似，它们可能指向神经元网络的一般原理。这里报告的接线图可以帮助理解行为的机制基础，通过预测未来的实验，包括遗传扰动，激光消融，或监测神经元活动的传播对刺激的反应。神经元连接数据的生成和分析，将彻底改变神经生物学，就像基因组学彻底改变分子生物学一样。事实上，由于神经元网络是执行神经功能的物理基底，因此它们的结构特性与功能的组织和逻辑交织在一起。在本文中，我们报告了一个近乎完整的布线图的线虫秀丽隐杆线虫，并提出了几个分析其属性，发现许多非随机功能。我们提供新颖的可视化和计算网络统计数据，以增强对报告数据的理解。我们还使用原则性的系统理论方法来生成关于生物功能如何从所报道的神经元网络结构中产生的假设。这里报告的接线图可以进一步用于在未来的扰动、消融或人工刺激实验中生成关于信号传播的预测。
Despite recent interest in reconstructing neuronal networks, complete wiring diagrams on the level of individual synapses remain scarce and the insights into function they can provide remain unclear. Even for Caenorhabditis elegans, whose neuronal network is relatively small and stereotypical from animal to animal, published wiring diagrams are neither accurate nor complete and self-consistent. Using materials from White et al. and new electron micrographs we assemble whole, self-consistent gap junction and chemical synapse networks of hermaphrodite C. elegans. We propose a method to visualize the wiring diagram, which reflects network signal flow. We calculate statistical and topological properties of the network, such as degree distributions, synaptic multiplicities, and small-world properties, that help in understanding network signal propagation. We identify neurons that may play central roles in information processing, and network motifs that could serve as functional modules of the network. We explore propagation of neuronal activity in response to sensory or artificial stimulation using linear systems theory and find several activity patterns that could serve as substrates of previously described behaviors. Finally, we analyze the interaction between the gap junction and the chemical synapse networks. Since several statistical properties of the C. elegans network, such as multiplicity and motif distributions are similar to those found in mammalian neocortex, they likely point to general principles of neuronal networks. The wiring diagram reported here can help in understanding the mechanistic basis of behavior by generating predictions about future experiments involving genetic perturbations, laser ablations, or monitoring propagation of neuronal activity in response to stimulation. Connectomics, the generation and analysis of neuronal connectivity data, stands to revolutionize neurobiology just as genomics has revolutionized molecular biology. Indeed, since neuronal networks are the physical substrates upon which neural functions are carried out, their structural properties are intertwined with the organization and logic of function. In this paper, we report a near-complete wiring diagram of the nematode Caenorhabditis elegans and present several analyses of its properties, finding many nonrandom features. We give novel visualizations and compute network statistics to enhance understanding of the reported data. We also use principled systems-theoretic methods to generate hypotheses on how biological function may arise from the reported neuronal network structure. The wiring diagram reported here can further be used to generate predictions about signal propagation in future perturbation, ablation, or artificial stimulation experiments.
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影响因子：
10.2
作者：
Bryan, Kurt;Leise, Tanya
通讯作者：
Leise, Tanya
影响因子：
56.9
作者：
Barabási, AL;Albert, R
通讯作者：
Albert, R
DOI：
10.1073/pnas.0409009101
发表时间：
2005-03-01
影响因子：
11.1
作者：
Gray, JM;Hill, JJ;Bargmann, CI
通讯作者：
Bargmann, CI
DOI：
10.1109/tvcg.2004.1260757
发表时间：
2004-01-01
影响因子：
5.2
作者：
Carmel, L;Harel, D;Koren, Y
通讯作者：
Koren, Y
影响因子：
2.4
作者：
Foster, Jacob G.;Foster, David V.;Paczuski, Maya
通讯作者：
Paczuski, Maya