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Network Statistics of the Whole-Brain Connectome of Drosophila.
Lin, Albert; Yang, Runzhe; Dorkenwald, Sven; Matsliah, Arie; Sterling, Amy R; Schlegel, Philipp; Yu, Szi-Chieh; McKellar, Claire E; Costa, Marta; Eichler, Katharina; Bates, Alexander Shakeel; Eckstein, Nils; Funke, Jan; Jefferis, Gregory S X E; Murthy, Mala.
Affiliation
  • Lin A; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
  • Yang R; Center for the Physics of Biological Function, Princeton University, Princeton, NJ, USA.
  • Dorkenwald S; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
  • Matsliah A; Computer Science Department, Princeton University, Princeton, NJ, USA.
  • Sterling AR; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
  • Schlegel P; Computer Science Department, Princeton University, Princeton, NJ, USA.
  • Yu SC; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
  • McKellar CE; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
  • Costa M; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK.
  • Eichler K; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Bates AS; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
  • Eckstein N; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
  • Funke J; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Jefferis GSXE; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Murthy M; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK.
bioRxiv ; 2024 Feb 28.
Article in En | MEDLINE | ID: mdl-37547019
ABSTRACT
Brains comprise complex networks of neurons and connections. Network analysis applied to the wiring diagrams of brains can offer insights into how brains support computations and regulate information flow. The completion of the first whole-brain connectome of an adult Drosophila, the largest connectome to date, containing 130,000 neurons and millions of connections, offers an unprecedented opportunity to analyze its network properties and topological features. To gain insights into local connectivity, we computed the prevalence of two- and three-node network motifs, examined their strengths and neurotransmitter compositions, and compared these topological metrics with wiring diagrams of other animals. We discovered that the network of the fly brain displays rich club organization, with a large population (30% percent of the connectome) of highly connected neurons. We identified subsets of rich club neurons that may serve as integrators or broadcasters of signals. Finally, we examined subnetworks based on 78 anatomically defined brain regions or neuropils. These data products are shared within the FlyWire Codex and will serve as a foundation for models and experiments exploring the relationship between neural activity and anatomical structure.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: United States
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