Colored motifs reveal computational building blocks in the C. elegans brain.

BACKGROUND: Complex networks can often be decomposed into less complex sub-networks whose structures can give hints about the functional organization of the network as a whole. However, these structural motifs can only tell one part of the functional story because in this analysis each node and edge...

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Main Authors: Jifeng Qian, Arend Hintze, Christoph Adami
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3049772?pdf=render
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spelling doaj-b641b33f19d9407eb9b6056261959e692020-11-25T01:25:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0163e1701310.1371/journal.pone.0017013Colored motifs reveal computational building blocks in the C. elegans brain.Jifeng QianArend HintzeChristoph AdamiBACKGROUND: Complex networks can often be decomposed into less complex sub-networks whose structures can give hints about the functional organization of the network as a whole. However, these structural motifs can only tell one part of the functional story because in this analysis each node and edge is treated on an equal footing. In real networks, two motifs that are topologically identical but whose nodes perform very different functions will play very different roles in the network. METHODOLOGY/PRINCIPAL FINDINGS: Here, we combine structural information derived from the topology of the neuronal network of the nematode C. elegans with information about the biological function of these nodes, thus coloring nodes by function. We discover that particular colorations of motifs are significantly more abundant in the worm brain than expected by chance, and have particular computational functions that emphasize the feed-forward structure of information processing in the network, while evading feedback loops. Interneurons are strongly over-represented among the common motifs, supporting the notion that these motifs process and transduce the information from the sensor neurons towards the muscles. Some of the most common motifs identified in the search for significant colored motifs play a crucial role in the system of neurons controlling the worm's locomotion. CONCLUSIONS/SIGNIFICANCE: The analysis of complex networks in terms of colored motifs combines two independent data sets to generate insight about these networks that cannot be obtained with either data set alone. The method is general and should allow a decomposition of any complex networks into its functional (rather than topological) motifs as long as both wiring and functional information is available.http://europepmc.org/articles/PMC3049772?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Jifeng Qian
Arend Hintze
Christoph Adami
spellingShingle Jifeng Qian
Arend Hintze
Christoph Adami
Colored motifs reveal computational building blocks in the C. elegans brain.
PLoS ONE
author_facet Jifeng Qian
Arend Hintze
Christoph Adami
author_sort Jifeng Qian
title Colored motifs reveal computational building blocks in the C. elegans brain.
title_short Colored motifs reveal computational building blocks in the C. elegans brain.
title_full Colored motifs reveal computational building blocks in the C. elegans brain.
title_fullStr Colored motifs reveal computational building blocks in the C. elegans brain.
title_full_unstemmed Colored motifs reveal computational building blocks in the C. elegans brain.
title_sort colored motifs reveal computational building blocks in the c. elegans brain.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description BACKGROUND: Complex networks can often be decomposed into less complex sub-networks whose structures can give hints about the functional organization of the network as a whole. However, these structural motifs can only tell one part of the functional story because in this analysis each node and edge is treated on an equal footing. In real networks, two motifs that are topologically identical but whose nodes perform very different functions will play very different roles in the network. METHODOLOGY/PRINCIPAL FINDINGS: Here, we combine structural information derived from the topology of the neuronal network of the nematode C. elegans with information about the biological function of these nodes, thus coloring nodes by function. We discover that particular colorations of motifs are significantly more abundant in the worm brain than expected by chance, and have particular computational functions that emphasize the feed-forward structure of information processing in the network, while evading feedback loops. Interneurons are strongly over-represented among the common motifs, supporting the notion that these motifs process and transduce the information from the sensor neurons towards the muscles. Some of the most common motifs identified in the search for significant colored motifs play a crucial role in the system of neurons controlling the worm's locomotion. CONCLUSIONS/SIGNIFICANCE: The analysis of complex networks in terms of colored motifs combines two independent data sets to generate insight about these networks that cannot be obtained with either data set alone. The method is general and should allow a decomposition of any complex networks into its functional (rather than topological) motifs as long as both wiring and functional information is available.
url http://europepmc.org/articles/PMC3049772?pdf=render
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