A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection

Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which are experimentally challenging to study. In insects, recurrent circuit dynamics in a brain region called the central complex (CX) enable directed locomotion, sleep, and context- and e...

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Veröffentlicht in:eLife Jg. 10
Hauptverfasser: Hulse, Brad K, Haberkern, Hannah, Franconville, Romain, Turner-Evans, Daniel, Takemura, Shin-ya, Wolff, Tanya, Noorman, Marcella, Dreher, Marisa, Dan, Chuntao, Parekh, Ruchi, Hermundstad, Ann M, Rubin, Gerald M, Jayaraman, Vivek
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England eLife Sciences Publications Ltd 26.10.2021
eLife Sciences Publications, Ltd
Schlagworte:
Animals
Behavior
Brain
Brain - physiology
central complex
Connectome
Drosophila
Drosophila - physiology
Drosophila melanogaster - physiology
Electron microscopy
insect
Insects
Locomotion
Microscopy
navigation
Navigation behavior
Neural networks
Neurons
Neurons - physiology
Neuroscience
sensorimotor
Sensorimotor system
Sleep
Spatial Navigation - physiology
sleep
navigation
neuroscience
central complex
insect
sensorimotor
connectome
D. melanogaster
ISSN:2050-084X, 2050-084X
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Zusammenfassung:Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which are experimentally challenging to study. In insects, recurrent circuit dynamics in a brain region called the central complex (CX) enable directed locomotion, sleep, and context- and experience-dependent spatial navigation. We describe the first complete electron microscopy-based connectome of the Drosophila CX, including all its neurons and circuits at synaptic resolution. We identified new CX neuron types, novel sensory and motor pathways, and network motifs that likely enable the CX to extract the fly’s head direction, maintain it with attractor dynamics, and combine it with other sensorimotor information to perform vector-based navigational computations. We also identified numerous pathways that may facilitate the selection of CX-driven behavioral patterns by context and internal state. The CX connectome provides a comprehensive blueprint necessary for a detailed understanding of network dynamics underlying sleep, flexible navigation, and state-dependent action selection.
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These authors contributed equally to this work.
ISSN:2050-084X
2050-084X
DOI:10.7554/eLife.66039