Title
Topological Cluster Analysis Reveals The Systemic Organization Of The Caenorhabditis Elegans Connectome
Abstract
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.
Year
DOI
Venue
2011
10.1371/journal.pcbi.1001139
PLOS COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
higher order,cluster analysis,synapses
Cluster (physics),Topology,Biology,Nerve net,Connectome,Small-world network,Caenorhabditis elegans,Synthetic biological circuit,Bioinformatics,Modularity,Hierarchical organization
Journal
Volume
Issue
ISSN
7
5
1553-734X
Citations 
PageRank 
References 
14
0.83
6
Authors
5
Name
Order
Citations
PageRank
Yunkyu Sohn1172.27
Myung-Kyu Choi2140.83
Yong-Yeol Ahn32124138.24
Junho Lee4141.16
Jaeseung Jeong59517.93