Network Statistics of the Whole-Brain Connectome of Drosophila
Albert LiniD, Runzhe YangiD, Sven DorkenwaldiD, Arie MatsliahiD, Amy Robinson SterlingiD, Philipp SchlegeliD, Szi-chieh YuiD, Claire E. McKellariD, Marta CostaiD, Katharina EichleriD, Alexander Shakeel BatesiD, Nils EcksteiniD, Jan FunkeiD, Gregory S.X.E. JefferisiD, Mala MurthyiD
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.
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