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Diverse Community Structures in the Neuronal-Level Connectome of the Drosophila Brain
- Source :
- Neuroinformatics. 18(2)
- Publication Year :
- 2019
-
Abstract
- Drosophila melanogaster is one of the most important model animals in neurobiology owing to its manageable brain size, complex behaviour, and extensive genetic tools. However, without a comprehensive map of the brain-wide neural network, our ability to investigate brain functions at the systems level is seriously limited. In this study, we constructed a neuron-to-neuron network of the Drosophila brain based on the 28,573 fluorescence images of single neurons in the newly released FlyCircuit v1.2 (http://www.flycircuit.tw) database. By performing modularity and centrality analyses, we identified eight communities (right olfaction, left olfaction, olfactory core, auditory, motor, pre-motor, left vision, and right vision) in the brain-wide network. Further investigation on information exchange and structural stability revealed that the communities of different functions dominated different types of centralities, suggesting a correlation between functions and network structures. Except for the two olfaction and the motor communities, the network is characterized by overall small-worldness. A rich club (RC) structure was also found in this network, and most of the innermost RC members innervated the central complex, indicating its role in information integration. We further identified numerous loops with length smaller than seven neurons. The observation suggested unique characteristics in the information processing inside the fruit fly brain.
- Subjects :
- Modularity (biology)
Olfaction
Biology
050105 experimental psychology
03 medical and health sciences
0302 clinical medicine
Connectome
Animals
0501 psychology and cognitive sciences
Neurons
General Neuroscience
05 social sciences
Information processing
Brain
biology.organism_classification
Drosophila melanogaster
Brain size
Nerve Net
Centrality
Neuroscience
030217 neurology & neurosurgery
Software
Information Systems
Information integration
Subjects
Details
- ISSN :
- 15590089
- Volume :
- 18
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Neuroinformatics
- Accession number :
- edsair.doi.dedup.....66bd49425956284f08bd8a07a8c978dd