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This article is part of the supplement: Abstracts from the Twenty Second Annual Computational Neuroscience Meeting: CNS*2013

Open Access Poster presentation

Toward the Drosophila connectome: structural analysis of the brain network

Chi-Tin Shih1*, Olaf Sporns2 and Ann-Shyn Chiang3

Author Affiliations

1 Department of Physics, Tunghai University, 40704 Taichung, Taiwan

2 Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA

3 Brain Research Center, National Tsing Hua University, 30013 Hsinchu, Taiwan

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BMC Neuroscience 2013, 14(Suppl 1):P63  doi:10.1186/1471-2202-14-S1-P63


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/14/S1/P63


Published:8 July 2013

© 2013 Shih et al; licensee 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.

Poster presentation

The brain can be conceptualized as a complex network. It is believed that the topological structure of the brain network is closely related to the functions of the brain [1]. Therefore, understanding the network structure of the brain is a crucial task in neuroscience. In this report, we propose a first draft of the network architecture of the Drosophila connectome at the mesoscopic scale. The structural network of the Drosophila brain is constructed from a dataset of more than 20,000 single neurons in female brain assembled in the FlyCircuit database (http://www.flycircuit.tw webcite)[2], the most comprehensive database of single-neuron images of the Drosophila brain to date. The nodes of the network represent mesoscopic brain regions called Local Processing Units (LPUs). The weight of the edges connecting each node pair corresponds to the number of neurons innervating the two LPUs reciprocally. The network shows hierarchical structure, pronounced small-world characteristics with high clustering and high global efficiency, and it is composed of six modules corresponding to known functional domains including the sensory modalities (including olfactory, mechano-auditory, and visual), together with the pre-motor and motor centers. Based on the modular structure of the network, we propose two models for the flow of information associated with intuitive and reasoning behaviors, respectively.

Acknowledgements

This work was supported in part by the National Science Council, Taiwan (NSC-100-2112-M-029-001-MY3) to CTS, Academic Summit Program of National Science Council (NSC 100-2745-B-007-001-ASP) and Brain Research Center of Aiming for the Top University Program of the National Tsing Hua University and the Ministry of Education, Taiwan to ASC.

References

  1. Bullmore E, Sporns O: Complex brain networks: graph theoretical analysis of structural and functional systems.

    Nature Reviews Neuroscience 2009, 10:186-198. PubMed Abstract | Publisher Full Text OpenURL

  2. Chiang AS, et al.: Three-dimensional reconstruction of brain-wide wiring networks in Drosophila at single-cell resolution.

    Current Biology 2011, 21:1-11. PubMed Abstract | Publisher Full Text OpenURL