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Building a connectome of the insect brain's navigational center

Gillet, Valentin LU orcid (2026)
Abstract
The central complex is a conserved brain region at the core of insect navigation, integrating sensory information to guide behavior across species spanning over 400 million years of evolution. While connectomes of the fruit fly have provided unprecedented detail about its circuitry, understanding how this neural architecture varies across insects with diverse navigational capabilities requires comparative approaches. This thesis presents a multiresolution imaging, processing, and analysis pipeline designed to make comparative connectomics accessible at a reduced cost. By leveraging the predictable neuroarchitecture of the central complex, we are able to produce a global projectome with embedded local connectomes describing entire... (More)
The central complex is a conserved brain region at the core of insect navigation, integrating sensory information to guide behavior across species spanning over 400 million years of evolution. While connectomes of the fruit fly have provided unprecedented detail about its circuitry, understanding how this neural architecture varies across insects with diverse navigational capabilities requires comparative approaches. This thesis presents a multiresolution imaging, processing, and analysis pipeline designed to make comparative connectomics accessible at a reduced cost. By leveraging the predictable neuroarchitecture of the central complex, we are able to produce a global projectome with embedded local connectomes describing entire computational units.

Applying this pipeline, we reconstructed head direction circuits across multiple hymenopteran species, revealing remarkable conservation in cell types and projection patterns despite over 300 million years of divergence from the fly. Circuit-level analysis, however, uncovered fundamental differences in the feedback loops underlying the ring attractor, demonstrating functionally convergent solutions to the same computational problem. Extending this analysis to downstream traveling direction neurons in the sweat bee, we identified both ancestral pathways homologous to the fly and novel circuits specific to bees, including a new cell type that may contribute to enhanced vector navigation capabilities. Together, these findings illuminate how evolution shapes neural circuits to produce behavioral diversity while maintaining core computational functions. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Professor Maimon, Gaby, The Rockefeller University, New York
organization
publishing date
type
Thesis
publication status
published
subject
keywords
connectomics, central complex, volume electron microscopy, segmentation, sweat bee
pages
241 pages
publisher
Lund University
defense location
Blue Hall, Ecology Building, Department of Biology.
defense date
2026-02-20 13:00:00
ISBN
978-91-8104-822-3
978-91-8104-823-0
language
English
LU publication?
yes
id
36d49300-14d1-4a52-a83d-4efea73dbc29
date added to LUP
2026-01-26 16:25:06
date last changed
2026-01-28 10:52:53
@phdthesis{36d49300-14d1-4a52-a83d-4efea73dbc29,
  abstract     = {{The central complex is a conserved brain region at the core of insect navigation, integrating sensory information to guide behavior across species spanning over 400 million years of evolution. While connectomes of the fruit fly have provided unprecedented detail about its circuitry, understanding how this neural architecture varies across insects with diverse navigational capabilities requires comparative approaches. This thesis presents a multiresolution imaging, processing, and analysis pipeline designed to make comparative connectomics accessible at a reduced cost. By leveraging the predictable neuroarchitecture of the central complex, we are able to produce a global projectome with embedded local connectomes describing entire computational units.<br/><br/>Applying this pipeline, we reconstructed head direction circuits across multiple hymenopteran species, revealing remarkable conservation in cell types and projection patterns despite over 300 million years of divergence from the fly. Circuit-level analysis, however, uncovered fundamental differences in the feedback loops underlying the ring attractor, demonstrating functionally convergent solutions to the same computational problem. Extending this analysis to downstream traveling direction neurons in the sweat bee, we identified both ancestral pathways homologous to the fly and novel circuits specific to bees, including a new cell type that may contribute to enhanced vector navigation capabilities. Together, these findings illuminate how evolution shapes neural circuits to produce behavioral diversity while maintaining core computational functions.}},
  author       = {{Gillet, Valentin}},
  isbn         = {{978-91-8104-822-3}},
  keywords     = {{connectomics; central complex; volume electron microscopy; segmentation; sweat bee}},
  language     = {{eng}},
  month        = {{01}},
  publisher    = {{Lund University}},
  school       = {{Lund University}},
  title        = {{Building a connectome of the insect brain's navigational center}},
  url          = {{https://lup.lub.lu.se/search/files/240606972/e-nailing_ex_valentin.pdf}},
  year         = {{2026}},
}