Three-dimensional reconstruction of brain-wide wiring networks in drosophila at single-cell resolution

Ann Shyn Chiang*, Chih Yung Lin, Chao Chun Chuang, Hsiu Ming Chang, Chang Huain Hsieh, Chang Wei Yeh, Chi Tin Shih, Jian Jheng Wu, Guo Tzau Wang, Yung Chang Chen, Cheng Chi Wu, Guan Yu Chen, Yu-Tai Ching, Ping Chang Lee, Chih Yang Lin, Hui Hao Lin, Chia Chou Wu, Hao Wei Hsu, Yun Ann Huang, Jing Yi ChenHsin Jung Chiang, Chun Fang Lu, Ru Fen Ni, Chao Yuan Yeh, Jenn Kang Hwang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

361 Scopus citations


Background: Animal behavior is governed by the activity of interconnected brain circuits. Comprehensive brain wiring maps are thus needed in order to formulate hypotheses about information flow and also to guide genetic manipulations aimed at understanding how genes and circuits orchestrate complex behaviors. Results: To assemble this map, we deconstructed the adult Drosophila brain into approximately 16,000 single neurons and reconstructed them into a common standardized framework to produce a virtual fly brain. We have constructed a mesoscopic map and found that it consists of 41 local processing units (LPUs), six hubs, and 58 tracts covering the whole Drosophila brain. Despite individual local variation, the architecture of the Drosophila brain shows invariance for both the aggregation of local neurons (LNs) within specific LPUs and for the connectivity of projection neurons (PNs) between the same set of LPUs. An open-access image database, named FlyCircuit, has been constructed for online data archiving, mining, analysis, and three-dimensional visualization of all single neurons, brain-wide LPUs, their wiring diagrams, and neural tracts. Conclusion: We found that the Drosophila brain is assembled from families of multiple LPUs and their interconnections. This provides an essential first step in the analysis of information processing within and between neurons in a complete brain.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalCurrent Biology
Issue number1
StatePublished - 11 Jan 2011



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