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Anatomically-based skeleton kinetics and pose estimation in freely-moving rodents

Arne Monsees, Kay-Michael Voit, Damian J. Wallace, View ORCID ProfileJuergen Sawinski, Edyta Leks, View ORCID ProfileKlaus Scheffler, View ORCID ProfileJakob H. Macke, View ORCID ProfileJason N. D. Kerr
doi: https://doi.org/10.1101/2021.11.03.466906
Arne Monsees
1Department of Behavior and Brain Organization, Research Center caesar, Bonn, Germany
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Kay-Michael Voit
1Department of Behavior and Brain Organization, Research Center caesar, Bonn, Germany
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Damian J. Wallace
1Department of Behavior and Brain Organization, Research Center caesar, Bonn, Germany
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Juergen Sawinski
1Department of Behavior and Brain Organization, Research Center caesar, Bonn, Germany
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Edyta Leks
2High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
3Department for Biomedical Magnetic Resonance, Eberhard Karls University of Tübingen, Tübingen, Germany
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Klaus Scheffler
2High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
3Department for Biomedical Magnetic Resonance, Eberhard Karls University of Tübingen, Tübingen, Germany
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Jakob H. Macke
4Machine Learning in Science, Eberhard Karls University of Tübingen, Tübingen, Germany
5Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany
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Jason N. D. Kerr
1Department of Behavior and Brain Organization, Research Center caesar, Bonn, Germany
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  • ORCID record for Jason N. D. Kerr
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Abstract

Forming a complete picture of the relationship between neural activity and body kinetics requires quantification of skeletal joint biomechanics during behavior. However, without detailed knowledge of the underlying skeletal motion, inferring joint kinetics from surface tracking approaches is difficult, especially for animals where the relationship between surface anatomy and skeleton changes during motion. Here we developed a videography-based method enabling detailed three-dimensional kinetic quantification of an anatomically defined skeleton in untethered freely-behaving animals. This skeleton-based model has been constrained by anatomical principles and joint motion limits and provided skeletal pose estimates for a range of rodent sizes, even when limbs were occluded. Model-inferred joint kinetics for both gait and gap-crossing behaviors were verified by direct measurement of limb placement, showing that complex decision-making behaviors can be accurately reconstructed at the level of skeletal kinetics using our anatomically constrained model.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • The Version of Record of this article is published in Nature Methods, and is available online at https://dx.doi.org/10.1038/s41592-022-01634-9

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted November 08, 2022.
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Anatomically-based skeleton kinetics and pose estimation in freely-moving rodents
Arne Monsees, Kay-Michael Voit, Damian J. Wallace, Juergen Sawinski, Edyta Leks, Klaus Scheffler, Jakob H. Macke, Jason N. D. Kerr
bioRxiv 2021.11.03.466906; doi: https://doi.org/10.1101/2021.11.03.466906
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Anatomically-based skeleton kinetics and pose estimation in freely-moving rodents
Arne Monsees, Kay-Michael Voit, Damian J. Wallace, Juergen Sawinski, Edyta Leks, Klaus Scheffler, Jakob H. Macke, Jason N. D. Kerr
bioRxiv 2021.11.03.466906; doi: https://doi.org/10.1101/2021.11.03.466906

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