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New insights on the modeling of the molecular mechanisms underlying neural maps alignment in the midbrain.

Authors
  • Savier, Elise Laura1
  • Dunbar, James2, 3
  • Cheung, Kyle2
  • Reber, Michael2, 3, 4, 5, 6
  • 1 Department of Biology and Psychology, University of Virginia, Charlottesville, United States. , (United States)
  • 2 Donald K. Johnson Eye Institute, Krembil Research Institute, University Health Network, Toronto, Canada. , (Canada)
  • 3 Laboratory of Medicine and Pathobiology, University of Toronto, Toronto, Canada. , (Canada)
  • 4 Ophthalmology and Vision Sciences, University of Toronto, Toronto, Canada. , (Canada)
  • 5 Cell and System Biology, University of Toronto, Toronto, Canada. , (Canada)
  • 6 CNRS UPR 3212, University of Strasbourg, Strasbourg, France. , (France)
Type
Published Article
Journal
eLife
Publisher
"eLife Sciences Organisation, Ltd."
Publication Date
Sep 30, 2020
Volume
9
Identifiers
DOI: 10.7554/eLife.59754
PMID: 32996883
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

We previously identified and modeled a principle of visual map alignment in the midbrain involving the mapping of the retinal projections and concurrent transposition of retinal guidance cues into the superior colliculus providing positional information for the organization of cortical V1 projections onto the retinal map (Savier et al., 2017). This principle relies on mechanisms involving Epha/Efna signaling, correlated neuronal activity and axon competition. Here, using the 3-step map alignment computational model, we predict and validate in vivo the visual mapping defects in a well-characterized mouse model. Our results challenge previous hypotheses and provide an alternative, although complementary, explanation for the phenotype observed. In addition, we propose a new quantification method to assess the degree of alignment and organization between maps, allowing inter-model comparisons. This work generalizes the validity and robustness of the 3-step map alignment algorithm as a predictive tool and confirms the basic mechanisms of visual map organization. © 2020, Savier et al.

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