ArticleNature methods2022
Estimation of skeletal kinematics in freely moving rodents.
Article in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Weight-bearing locomotion mitigates the progression of post-traumatic knee osteoarthritis in male rodents: A systematic review and meta-analysis.Osteoarthritis and cartilage · 2026Pooled it
- Automatic registration of generic bone models for X-ray-based biomechanics: Application to 3D rat hindlimb kinematics and sex-specific gait patterns.Computers in biology and medicine · 2026Article
- Beast3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting.ArXiv · 2026Article
- A Comprehensive Review of Nuclear Mechanics: Advances, Disease Relevance, Methodologies, and AI Applications.Cell biochemistry and biophysics · 2026Review
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- Cortex-Wide Substrates for Body Schema and Action Awareness.bioRxiv : the preprint server for biology · 2025Article
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- High-resolution in vivo kinematic tracking with customized injectable fluorescent nanoparticles.Science advances · 2025Article
- DISSeCT: An unsupervised framework for high-resolution mapping of rodent behavior using inertial sensors.PLoS biology · 2025Article
- Two modes in the absolute velocity statistics in cautious walks of laboratory rodents.Biophysical journal · 2025Article
- JiSuJi, a virtual muscle for small animal simulations, accurately predicts force from naturalistic spike trains.bioRxiv : the preprint server for biology · 2025Article
- Accurate Tracking of Locomotory Kinematics in Mice Moving Freely in Three-Dimensional Environments.eNeuro · 2025Article
- Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species.eLife · 2025Article
- The impact of machine learning on ethological neuroscience.Frontiers in behavioral neuroscience · 2025Review
- A deep learning-based approach for unbiased kinematic analysis in CNS injury.Experimental neurology · 2024Article
- ABNet: AI-Empowered Abnormal Action Recognition Method for Laboratory Mouse Behavior.Bioengineering (Basel, Switzerland) · 2024Article
- RECORD, a high-throughput, customizable system that unveils behavioral strategies leveraged by rodents during foraging-like decision-making.Communications biology · 2024Article
- Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools.Nature methods · 2024Article
- Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools.bioRxiv : the preprint server for biology · 2024Article
- Chasing cortical behavior: designing multiphoton microscopes for imaging neuronal populations in freely moving rodents.Neurophotonics · 2023Article
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8 authors.
Funding
No grant is acknowledged in the PubMed record.
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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