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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Published in:eLife Vol. 10
Main Authors: 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
Language:English
Published: England eLife Sciences Publications Ltd 26.10.2021
eLife Sciences Publications, Ltd
Subjects:
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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Abstract 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.
AbstractList 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.
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 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.
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.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.
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.
Author Parekh, Ruchi
Turner-Evans, Daniel
Dreher, Marisa
Jayaraman, Vivek
Hulse, Brad K
Dan, Chuntao
Takemura, Shin-ya
Hermundstad, Ann M
Wolff, Tanya
Haberkern, Hannah
Rubin, Gerald M
Franconville, Romain
Noorman, Marcella
Author_xml – sequence: 1
  givenname: Brad K
  orcidid: 0000-0002-7117-7036
  surname: Hulse
  fullname: Hulse, Brad K
– sequence: 2
  givenname: Hannah
  orcidid: 0000-0002-6135-131X
  surname: Haberkern
  fullname: Haberkern, Hannah
– sequence: 3
  givenname: Romain
  orcidid: 0000-0002-4440-7297
  surname: Franconville
  fullname: Franconville, Romain
– sequence: 4
  givenname: Daniel
  orcidid: 0000-0002-8020-0170
  surname: Turner-Evans
  fullname: Turner-Evans, Daniel
– sequence: 5
  givenname: Shin-ya
  orcidid: 0000-0003-2400-6426
  surname: Takemura
  fullname: Takemura, Shin-ya
– sequence: 6
  givenname: Tanya
  orcidid: 0000-0002-8681-1749
  surname: Wolff
  fullname: Wolff, Tanya
– sequence: 7
  givenname: Marcella
  surname: Noorman
  fullname: Noorman, Marcella
– sequence: 8
  givenname: Marisa
  orcidid: 0000-0002-0041-9229
  surname: Dreher
  fullname: Dreher, Marisa
– sequence: 9
  givenname: Chuntao
  orcidid: 0000-0002-8951-4248
  surname: Dan
  fullname: Dan, Chuntao
– sequence: 10
  givenname: Ruchi
  orcidid: 0000-0002-8060-2807
  surname: Parekh
  fullname: Parekh, Ruchi
– sequence: 11
  givenname: Ann M
  orcidid: 0000-0002-0377-0516
  surname: Hermundstad
  fullname: Hermundstad, Ann M
– sequence: 12
  givenname: Gerald M
  orcidid: 0000-0001-8762-8703
  surname: Rubin
  fullname: Rubin, Gerald M
– sequence: 13
  givenname: Vivek
  orcidid: 0000-0003-3680-7378
  surname: Jayaraman
  fullname: Jayaraman, Vivek
BackLink https://www.ncbi.nlm.nih.gov/pubmed/34696823$$D View this record in MEDLINE/PubMed
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Keywords sleep
navigation
neuroscience
central complex
insect
sensorimotor
connectome
D. melanogaster
Language English
License 2021, Hulse, Haberkern, Franconville et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
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These authors contributed equally to this work.
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– reference: 34696825 - Elife. 2021 Oct 26;10:e73963. doi: 10.7554/eLife.73963
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Snippet Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which are experimentally challenging to study....
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SubjectTerms 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
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Title A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection
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