A connectome and analysis of the adult Drosophila central brain
Authors
Hayworth, Kenneth J
Berg, Stuart
Clements, Jody
Umayam, Lowell
Zhao, Ting
Dolafi, Tom
Kawase, Takashi
Leavitt, Laramie
Lindsey, Larry
Neubarth, Nicole
Olbris, Donald J
Otsuna, Hideo
Ito, Masayoshi
Neace, Erika
Ballinger, Samantha
Cheatham, Natasha
Duclos, Octave
Hopkins, Gary Patrick
Kim, SungJin
Kirk, Nicole A
Maldonado, Charli
Manley, Emily A
Mooney, Caroline
Ndama, Miatta
Ogundeyi, Omotara
Okeoma, Nneoma
Ordish, Christopher
Padilla, Nicholas
Paterson, Tyler
Rampally, Neha
Ribeiro, Caitlin
Scott, Anne K
Scott, Ashley L
Smith, Claire
Smith, Kelsey
Sobeski, Margaret A
Suleiman, Alia
Tenshaw, Emily
Tokhi, Temour
Li, Feng
Rivlin, Patricia K
George, Reed
Meinertzhagen, Ian A
Jain, Viren
Publication Date
2020-09-07Journal Title
eLife
Publisher
eLife Sciences Publications, Ltd
Volume
9
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Scheffer, L. K., Xu, C. S., Januszewski, M., Lu, Z., Takemura, S., Hayworth, K. J., Huang, G. B., et al. (2020). A connectome and analysis of the adult Drosophila central brain. eLife, 9 https://doi.org/10.7554/elife.57443
Abstract
The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly’s brain.
Keywords
Research Article, Computational and Systems Biology, Neuroscience, connectome, brain regions, cell types, graph properties, connectome reconstuction methods, synapse detecton, D. melanogaster
Sponsorship
Howard Hughes Medical Institute (Internal funding)
Google (Internal funding)
Wellcome (203261/Z/16/Z)
Identifiers
57443
External DOI: https://doi.org/10.7554/elife.57443
This record's URL: https://www.repository.cam.ac.uk/handle/1810/311341
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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