Detecting local processing unit in drosophila brain by using network theory

Shi, D; Shih, C; Lo, C; Lin, Y; Chiang, A

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Detecting local processing unit in drosophila brain by using network theory

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https://arxiv.org/abs/1512.08339
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Shi, D., Shih, C., Lo, C., Lin, Y., & Chiang, A. (submitted). Detecting local processing unit in drosophila brain by using network theory.

Cite as: https://hdl.handle.net/21.11116/0000-0006-9930-7

Abstract

Community detection method in network theory was applied to the neuron network constructed from the image overlapping between neuron pairs to detect the Local Processing Unit (LPU) automatically in Drosophila brain. 26 communities consistent with the known LPUs, and 13 subdivisions were found. Besides, 45 tracts were detected and could be discriminated from the LPUs by analyzing the distribution of participation coefficient P. Furthermore, layer structures in fan-shaped body (FB) were observed which coincided with the images shot by the optical devices, and a total of 13 communities were proven closely related to FB. The method proposed in this work was proven effective to identify the LPU structure in Drosophila brain irrespectively of any subjective aspect, and could be applied to the relevant areas extensively.