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  Estimation of skeletal kinematics in freely moving rodents

Monsees, A., Voit, K.-M., Wallace, D., Sawinski, J., Charyasz, E., Scheffler, K., et al. (2022). Estimation of skeletal kinematics in freely moving rodents. Nature Methods, 19(11), 1500-1509. doi:10.1038/s41592-022-01634-9.

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Monsees, A, Author
Voit, K-M, Author
Wallace, DJ, Author                 
Sawinski, J, Author                 
Charyasz, E1, Author                 
Scheffler, K1, Author                 
Macke, JH, Author                 
Kerr, JND, Author                 
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: Forming a complete picture of the relationship between neural activity and skeletal kinematics requires quantification of skeletal joint biomechanics during free behavior; however, without detailed knowledge of the underlying skeletal motion, inferring limb kinematics using surface-tracking approaches is difficult, especially for animals where the relationship between the surface and underlying skeleton changes during motion. Here we developed a videography-based method enabling detailed three-dimensional kinematic quantification of an anatomically defined skeleton in untethered freely behaving rats and mice. This skeleton-based model was constrained using anatomical principles and joint motion limits and provided skeletal pose estimates for a range of body sizes, even when limbs were occluded. Model-inferred limb positions and joint kinematics during gait and gap-crossing behaviors were verified by direct measurement of either limb placement or limb kinematics using inertial measurement units. Together we show that complex decision-making behaviors can be accurately reconstructed at the level of skeletal kinematics using our anatomically constrained model.

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Language(s): eng - English
 Dates: 2022-102022-11
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41592-022-01634-9
 Degree: -

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Title: Nature Methods
  Abbreviation : Nat Methods
Source Genre: Journal
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Publ. Info: New York, NY : Nature Publishing Group
Pages: - Volume / Issue: 19 (11) Sequence Number: - Start / End Page: 1500 - 1509 Identifier: ISSN: 1548-7091
CoNE: https://pure.mpg.de/cone/journals/resource/111088195279556