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自由运动啮齿动物骨骼运动学的推断
作者:小柯机器人 发布时间:2022/10/20 23:45:22

德国马克斯普朗克行为神经生物学研究所Jason N. D. Kerr和Arne Monsees共同合作近期取得重要工作进展,他们报道了自由运动啮齿动物骨骼运动学的推断方法。相关工作成果2022年10月17日在线发表于《自然—方法学》杂志上。

研究人员开发了一种基于录像的方法,能够对无束缚自由行为的大鼠和小鼠骨架进行详细的三维运动学量化。这个基于骨骼的模型使用解剖学原理和关节运动限制进行约束,并为一系列的身体尺寸提供骨架姿势估计,即使在四肢被遮挡的情况下。通过使用惯性测量单元直接测量肢体位置或肢体运动学,验证了模型推断的肢体位置、步态和跨越间隙行为中的关节运动学。研究人员表明,复杂的决策行为可以通过解剖学约束模型在骨骼运动学层面上进行精确的重建。

据介绍,要想全面了解神经活动和骨骼运动学之间的关系,需要对自由行为时的骨骼关节生物力学进行量化。然而,如果没有对潜在骨骼运动的详细了解,使用表面跟踪方法推断肢体运动学是困难的,特别是对于在运动过程中表面和潜在骨骼之间的关系发生变化的动物。

附:英文原文

Title: Estimation of skeletal kinematics in freely moving rodents

Author: Monsees, Arne, Voit, Kay-Michael, Wallace, Damian J., Sawinski, Juergen, Charyasz, Edyta, Scheffler, Klaus, Macke, Jakob H., Kerr, Jason N. D.

Issue&Volume: 2022-10-17

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.

DOI: 10.1038/s41592-022-01634-9

Source: https://www.nature.com/articles/s41592-022-01634-9

期刊信息

Nature Methods:《自然—方法学》,创刊于2004年。隶属于施普林格·自然出版集团,最新IF:28.467
官方网址:https://www.nature.com/nmeth/
投稿链接:https://mts-nmeth.nature.com/cgi-bin/main.plex