ArticleCurrent biology : CB2015
Connectomics-based analysis of information flow in the Drosophila brain.
Article in Current biology : CB, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.
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Who cites it
96 citing papers in PubMed.
- Article
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- Benchmarking overlapping community detection methods for applications in human connectomics.Network neuroscience (Cambridge, Mass.) · 2026Article
- Simultaneously determining regional heterogeneity and connection directionality from neural activity and symmetric connection.PLoS computational biology · 2025Article
- AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice.Annals of neurology · 2025Review
- Insight into molecular and neural mechanisms of general anesthesia from the invertebrate modelZoological research · 2025Review
- Lateralised memory networks may explain the use of higher-order visual features in navigating insects.PLoS computational biology · 2025Article
- Mindfulness Meditation and Network Neuroscience: Review, Synthesis, and Future Directions.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Augmenting flexibility: mutual inhibition between inhibitory neurons expands functional diversity.iScience · 2025Article
- A simulated annealing algorithm for randomizing weighted networks.Nature computational science · 2025Article
- Brain connectome from neuronal morphology.Network neuroscience (Cambridge, Mass.) · 2025Article
- Review
- Article
- Hierarchical communities in the larvalProceedings of the National Academy of Sciences of the United States of America · 2024Article
- A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity.Nature communications · 2024Article
- From pixels to connections: exploring in vitro neuron reconstruction software for network graph generation.Communications biology · 2024Review
- Network Statistics of the Whole-Brain Connectome ofbioRxiv : the preprint server for biology · 2024Article
- Adaptive rewiring: a general principle for neural network development.Frontiers in network physiology · 2024Review
- Transitions in cognitive evolution.Proceedings. Biological sciences · 2023Review
- Neuronal wiring diagram of an adult brain.bioRxiv : the preprint server for biology · 2023Article
36 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the overall patterns of information flow within the brain has become a major goal of neuroscience. 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 FlyCircuit (version 1.1). Neuron polarities were predicted according to morphological criteria, 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, mechanoauditory, 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 that could play important roles for recurrent and reverberant information flow. The present analysis revealed whole-brain patterns of network structure and information flow. Additionally, we propose that the overall organizational scheme showed fundamental similarities to the network structure of the mammalian brain.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.