Published September 26, 2022 | Version v1
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Estimation of skeletal kinematics in freely-moving rodents

  • 1. Max Planck Institute for Neurobiology of Behavior*
  • 2. Max Planck Institute for Biological Cybernetics
  • 3. University of Tübingen

Description

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 during free motion 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 two rodent species and 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 (IMU). Together we show that complex decision-making behaviors can be accurately reconstructed at the level of skeletal kinematics using our anatomically constrained model.

Notes

Data is processed by the Python 3 scripts published on Github and also included here. Data is provided in the structure required by the scripts. A base path may have to be adjusted in ACM/data.py or the head of the respective script. Linked scripts generate the figures published in related manuscript.

A description of the data is included in the respective folders.

Funding provided by: Max-Planck-Gesellschaft
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004189
Award Number:

Funding provided by: International Max Planck Research School for Brain and Behavior*
Crossref Funder Registry ID:
Award Number:

Funding provided by: Deutsche Forschungsgemeinschaft
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659
Award Number: DFG SCHE 658/12

Funding provided by: Deutsche Forschungsgemeinschaft
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659
Award Number: EXC-Number 2064/1, Project number 390727645

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Additional details

Related works

Is cited by
10.1101/2021.11.03.466906 (DOI)
Is derived from
10.5061/dryad.g4f4qrfsw (DOI)