Volume 13 Supplement 1

Twenty First Annual Computational Neuroscience Meeting: CNS*2012

Open Access

Lethality of complex neuronal network in Caenorhabditis elegans nervous system based on cell attacks

BMC Neuroscience201213(Suppl 1):P110

DOI: 10.1186/1471-2202-13-S1-P110

Published: 16 July 2012

The aim of this study was to investigate changes in network structural properties and functional perturbations of the C. elegans network which were induced by simulated lesions of the neural network through removals of each single neuron (attacks). We analyzed complete neuronal wiring data (i.e. connectome) of the nematode C. elegans [1] consisting of 279 neurons (nodes) and their connections (edges). We constructed the circular wiring diagram of simply combined network of gap junctions and chemical synapses as shown Figure 1. Then, we measured several measures of complex network properties of directed weighted neuronal network of C. elegans to examine the effect of single node attack: the clustering coefficient, global efficiency, isolated nodes, and reachability [2]. We found that the deletions of motor neurons and interneurons were more effective to the clustering coefficient of the network than the sensory neurons. Eliminations of some interneurons mainly decreased global efficiency, and remarkably increased global efficiencies were induced by each removal of sensory neurons (see Table 1). We suggest that this complex network analysis of the c. elegans connectome is helpful for understanding the potential functions of all neurons, and provide insight into which neurons are crucial for specific functions and which neurons are critical for lethality of the network information processing.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2202-13-S1-P110/MediaObjects/12868_2012_Article_2647_Fig1_HTML.jpg
Figure 1

Directed circular wiring diagram of the C. elegans combined network. The colors of the links showed the weights of each connection (Color: Weight ranges; light grey: 1-5, grey: 6-10, green: 11-15, blue: 16-20, orange: 21-25, pink: 26-30, and red: over 30). The color of the name of neuron indicated their neuronal type [1, 2] (sensory: red, inter: green, motor: blue, polymodal: purple, and unknown: grey). The links departed from blue segment of a neuron and arrived to red segment of a neuron. The lengths of the orange segments indicated total synaptic strengths (weights) of neurons.

Table 1

The average clustering coefficient and the average global efficiency when a target node deleted. A deletion of one of listed neurons induced remarkable changes in each measure.

Clustering Coefficient (CC)

 

Global Efficiency (GE)

Average of CC in original net: 0.643

 

Average of GE in original net: 1.055

Increased (176)+

 

Decreased (103)

 

Increased (134)

 

Decreased (145)

DVB(M) ++

0.655

 

AVAR(I)

0.548

 

IL2DR(S)

1.060

 

AVAL(I)

0.991

VD10(M)

0.653

 

AVAL(I)

0.558

 

IL2DL(S)

1.060

 

AVAR(I)

1.005

RID(M)

0.651

 

AS08(M)

0.624

 

PLNR(S)

1.059

 

DVA(I)

1.030

HSNR(M)

0.650

 

VA08(M)

0.631

 

URADR(S)

1.059

 

PVCL(I)

1.031

AVL(M)

0.650

 

VB08(M)

0.631

 

URAVR(S)

1.059

 

PVCR(I)

1.033

+ The number of the neurons who have increased values of each measurement than the value of original network

++ S: Sensory neuron, I: Interneuron, M: Motor neuron

Authors’ Affiliations

(1)
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST)

References

  1. Varshney LR, Chen BL, Paniagua E, Hall DH, Chklovskii DB, Sporns O: Structural Properties of the Caenorhabditis elegans Neuronal Network. PLoS Comput Biol. 2011, 7 (2): e1001066-10.1371/journal.pcbi.1001066.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Watts DJ, Strogatz SH: Collective dynamics of 'small-world' networks. Nature. 1988, 393 (6684): 440-442.View ArticleGoogle Scholar

Copyright

© Kim et al; licensee BioMed Central Ltd. 2012

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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