henhaobio
Sign in

bioRxivNeurosciencePreprint

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

Arne MonseesiD, Kay-Michael Voit, Damian J. WallaceiD, Juergen SawinskiiD, Edyta Leks, Klaus ScheffleriD, Jakob H. MackeiD, Jason N. D. KerriD

PDFDOI

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.

Citations
2

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMoukarzel '22Zimmermann '20Berezhnoi '24Schneider '22Gilmer '25Karashchuk '21
69% semantic matchNeuroscience
George Moukarzel, Bradley C. Rauscher, Chetan A. Patil+1 more·bioRxiv·Aug 22, 2022· 2 citations