Topological Cluster Analysis Reveals the Systemic Organization of the Caenorhabditis elegans Connectome

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dc.contributor.authorSohn, Yunkyuko
dc.contributor.authorChoi, Myung-Kyuko
dc.contributor.authorAhn, Yong-Yeolko
dc.contributor.authorLee, Junhoko
dc.contributor.authorJeong, Jaeseungko
dc.date.accessioned2013-03-11T09:22:08Z-
dc.date.available2013-03-11T09:22:08Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2011-05-
dc.identifier.citationPLOS COMPUTATIONAL BIOLOGY, v.7, no.5-
dc.identifier.issn1553-734X-
dc.identifier.urihttp://hdl.handle.net/10203/98899-
dc.description.abstractThe modular organization of networks of individual neurons interwoven through synapses has not been fully explored due to the incredible complexity of the connectivity architecture. Here we use the modularity-based community detection method for directed, weighted networks to examine hierarchically organized modules in the complete wiring diagram (connectome) of Caenorhabditis elegans (C. elegans) and to investigate their topological properties. Incorporating bilateral symmetry of the network as an important cue for proper cluster assignment, we identified anatomical clusters in the C. elegans connectome, including a body-spanning cluster, which correspond to experimentally identified functional circuits. Moreover, the hierarchical organization of the five clusters explains the systemic cooperation (e. g., mechanosensation, chemosensation, and navigation) that occurs among the structurally segregated biological circuits to produce higher-order complex behaviors.-
dc.languageEnglish-
dc.publisherPUBLIC LIBRARY SCIENCE-
dc.subjectGRAPH-THEORETICAL ANALYSIS-
dc.subjectCOMPLEX BRAIN NETWORKS-
dc.subjectSMALL-WORLD NETWORKS-
dc.subjectC-ELEGANS-
dc.subjectARCHITECTURE-
dc.subjectCIRCUIT-
dc.subjectPROTEIN-
dc.titleTopological Cluster Analysis Reveals the Systemic Organization of the Caenorhabditis elegans Connectome-
dc.typeArticle-
dc.identifier.wosid000291015800013-
dc.identifier.scopusid2-s2.0-79958169113-
dc.type.rimsART-
dc.citation.volume7-
dc.citation.issue5-
dc.citation.publicationnamePLOS COMPUTATIONAL BIOLOGY-
dc.contributor.localauthorJeong, Jaeseung-
dc.contributor.nonIdAuthorChoi, Myung-Kyu-
dc.contributor.nonIdAuthorAhn, Yong-Yeol-
dc.contributor.nonIdAuthorLee, Junho-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordPlusGRAPH-THEORETICAL ANALYSIS-
dc.subject.keywordPlusCOMPLEX BRAIN NETWORKS-
dc.subject.keywordPlusSMALL-WORLD NETWORKS-
dc.subject.keywordPlusC-ELEGANS-
dc.subject.keywordPlusARCHITECTURE-
dc.subject.keywordPlusCIRCUIT-
dc.subject.keywordPlusPROTEIN-
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