NatureNeurosciencePeer-reviewed journal article
Neuronal wiring diagram of an adult brain
Sven DorkenwaldiD, Arie MatsliahiD, Amy Robinson SterlingiD, Philipp SchlegeliD, Szi-chieh YuiD, Claire E. McKellariD, Albert LiniD, Marta CostaiD, Katharina EichleriD, Yijie YiniD, William SilversmithiD, Casey M Schneider-MizelliD, Chris S. JordaniD, Derrick BrittainiD, Akhilesh HalageriiD, Kai Kuehner, Oluwaseun Ogedengbe, Ryan Morey, Jay GageriD, Krzysztof KrukiD, Eric PerlmaniD, Runzhe YangiD, David S. DeutschiD, Doug Bland, Marissa SorekiD, , Jansen Seguido
Abstract
Connections between neurons can be mapped by acquiring and analyzing electron microscopic (EM) brain images. In recent years, this approach has been applied to chunks of brains to reconstruct local connectivity maps that are highly informative, yet inadequate for understanding brain function more globally. Here, we present the first neuronal wiring diagram of a whole adult brain, containing 5x107 chemical synapses between [~]130,000 neurons reconstructed from a female Drosophila melanogaster. The resource also incorporates annotations of cell classes and types, nerves, hemilineages, and predictions of neurotransmitter identities. Data products are available by download, programmatic access, and interactive browsing and made interoperable with other fly data resources. We show how to derive a projectome, a map of projections between regions, from the connectome. We demonstrate the tracing of synaptic pathways and the analysis of information flow from inputs (sensory and ascending neurons) to outputs (motor, endocrine, and descending neurons), across both hemispheres, and between the central brain and the optic lobes. Tracing from a subset of photoreceptors all the way to descending motor pathways illustrates how structure can uncover putative circuit mechanisms underlying sensorimotor behaviors. The technologies and open ecosystem of the FlyWire Consortium set the stage for future large-scale connectome projects in other species.
- organism: Drosophila
- assay: electronic health records
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 570
- FWCI
- 97.07
- Field percentile
- top 1%
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