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Topological Cluster Analysis Reveals the Systemic Organization of the Caenorhabditis elegans Connectome
Author(s) -
Yunkyu Sohn,
Myung-kyu Choi,
YongYeol Ahn,
Junho Lee,
Jaeseung Jeong
Publication year - 2011
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1001139
Subject(s) - caenorhabditis elegans , connectome , modularity (biology) , connectomics , cluster (spacecraft) , mechanosensation , biology , topology (electrical circuits) , modular design , neuroscience , computer science , hierarchical organization , distributed computing , functional connectivity , evolutionary biology , computer network , mathematics , genetics , receptor , ion channel , combinatorics , gene , operating system , management , economics
The 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.

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