Network Statistics of the Whole-Brain Connectome ofDrosophila

Author:

Lin AlbertORCID,Yang RunzheORCID,Dorkenwald SvenORCID,Matsliah ArieORCID,Sterling Amy R.ORCID,Schlegel PhilippORCID,Yu Szi-chiehORCID,McKellar Claire E.ORCID,Costa MartaORCID,Eichler KatharinaORCID,Bates Alexander ShakeelORCID,Eckstein NilsORCID,Funke JanORCID,Jefferis Gregory S.X.E.ORCID,Murthy MalaORCID

Abstract

AbstractAnimal brains are complex organs composed of thousands of interconnected neurons. Characterizing the network properties of these brains is a requisite step towards understanding mechanisms of computation and information flow. With the completion of the Flywire project, we now have access to the connectome of a complete adultDrosophilabrain, containing 130,000 neurons and millions of connections. Here, we present a statistical summary and data products of the Flywire connectome, delving into 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 uncovered a population of highly connected neurons known as the “rich club” and identified subsets of neurons that may serve as integrators or broadcasters of signals. Finally, we examined subnetworks based on 78 anatomically defined brain regions. The freely available data and neuron populations presented here will serve as a foundation for models and experiments exploring the relationship between neural activity and anatomical structure.

Publisher

Cold Spring Harbor Laboratory

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