Connectomics-Based Analysis of Information Flow in the Drosophila Brain

  • Event Date: 2015-04-08
  • Softmatter/Biophys/Others
  • Speaker: Prof. Chi-Tin Shih (Department of Applied Physics, Tunghai University)  /  Host:
    Place: P512 of NCTS, 5F, 3rd General Building, Nat'l Tsing Hua Univ.

Understanding the overall patterns of information flow within the brain has become a major goal of neuroscience [1, 2]. In the current study, we produced a first draft of the Drosophila connectome at the mesoscopic scale, reconstructed from 12,995 images of neuron projections collected in the FlyCircuit (version 1.1<>) [3]. Neuron polarities were predicted according to morphological criteria [4], with nodes of the network corresponding to brain regions designated as local processing units (LPUs). The weight of each directed edge linking a pair of LPUs was determined by the number of neuron terminals that connected one LPU to the other. The resulting network showed hierarchical structure and small-world characteristics, and consisted of five functional modules that corresponded to sensory modalities (olfactory, mechano-auditory, and two visual) and the pre-motor center. Rich club organization was present in this network and involved LPUs in all sensory centers, and rich club members formed a putative motor center of the brain. Major intra- and inter-modular loops were also identified, which could play important roles for recurrent and reverberant information flow. The present analysis revealed whole-brain patterns of network structure and information flow [5].