Structural properties of the Caenorhabditis elegans neuronal network.

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 a...

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Autores principales: Lav R Varshney, Beth L Chen, Eric Paniagua, David H Hall, Dmitri B Chklovskii
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Publicado: Public Library of Science (PLoS) 2011
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Acceso en línea:https://doaj.org/article/6a6b03e9bb5444bc8c8b95ad9759c879
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spelling oai:doaj.org-article:6a6b03e9bb5444bc8c8b95ad9759c8792021-11-18T05:50:45ZStructural properties of the Caenorhabditis elegans neuronal network.1553-734X1553-735810.1371/journal.pcbi.1001066https://doaj.org/article/6a6b03e9bb5444bc8c8b95ad9759c8792011-02-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21304930/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Despite 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.Lav R VarshneyBeth L ChenEric PaniaguaDavid H HallDmitri B ChklovskiiPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 7, Iss 2, p e1001066 (2011)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Lav R Varshney
Beth L Chen
Eric Paniagua
David H Hall
Dmitri B Chklovskii
Structural properties of the Caenorhabditis elegans neuronal network.
description 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.
format article
author Lav R Varshney
Beth L Chen
Eric Paniagua
David H Hall
Dmitri B Chklovskii
author_facet Lav R Varshney
Beth L Chen
Eric Paniagua
David H Hall
Dmitri B Chklovskii
author_sort Lav R Varshney
title Structural properties of the Caenorhabditis elegans neuronal network.
title_short Structural properties of the Caenorhabditis elegans neuronal network.
title_full Structural properties of the Caenorhabditis elegans neuronal network.
title_fullStr Structural properties of the Caenorhabditis elegans neuronal network.
title_full_unstemmed Structural properties of the Caenorhabditis elegans neuronal network.
title_sort structural properties of the caenorhabditis elegans neuronal network.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/6a6b03e9bb5444bc8c8b95ad9759c879
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AT davidhhall structuralpropertiesofthecaenorhabditiselegansneuronalnetwork
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