Ramalingasetty Shravan Tata, Danner Simon M, Arreguit Jonathan, Markin Sergey N, Rodarie Dimitri, Kathe Claudia, Courtine Grégoire, Rybak Ilya A, Ijspeert Auke Jan
Biorobotic Laboratory (BioRob), School of Engineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Department of Neurobiology and Anatomy, College of Medicine, Drexel University, Philadelphia, PA 19104, USA.
IEEE Access. 2021;9:163861-163881. doi: 10.1109/access.2021.3133078. Epub 2021 Dec 6.
Neural control of movement cannot be fully understood without careful consideration of interactions between the neural and biomechanical components. Recent advancements in mouse molecular genetics allow for the identification and manipulation of constituent elements underlying the neural control of movement. To complement experimental studies and investigate the mechanisms by which the neural circuitry interacts with the body and the environment, computational studies modeling motor behaviors in mice need to incorporate a model of the mouse musculoskeletal system. Here, we present the first fully articulated musculoskeletal model of the mouse. The mouse skeletal system has been developed from anatomical references and includes the sets of bones in all body compartments, including four limbs, spine, head and tail. Joints between all bones allow for simulation of full 3D mouse kinematics and kinetics. Hindlimb and forelimb musculature has been implemented using Hill-type muscle models. We analyzed the mouse whole-body model and described the moment-arms for different hindlimb and forelimb muscles, the moments applied by these muscles on the joints, and their involvement in limb movements at different limb/body configurations. The model represents a necessary step for the subsequent development of a comprehensive neuro-biomechanical model of freely behaving mice; this will close the loop between the neural control and the physical interactions between the body and the environment.
如果不仔细考虑神经和生物力学成分之间的相互作用,就无法完全理解运动的神经控制。小鼠分子遗传学的最新进展使得能够识别和操纵运动神经控制背后的组成要素。为了补充实验研究并探究神经回路与身体及环境相互作用的机制,模拟小鼠运动行为的计算研究需要纳入小鼠肌肉骨骼系统的模型。在此,我们展示了首个小鼠全关节肌肉骨骼模型。小鼠骨骼系统是根据解剖学参考资料构建的,包括身体所有腔室中的骨骼集合,如四肢、脊柱、头部和尾巴。所有骨骼之间的关节允许模拟完整的三维小鼠运动学和动力学。后肢和前肢肌肉组织已使用希尔型肌肉模型实现。我们分析了小鼠全身模型,并描述了不同后肢和前肢肌肉的力臂、这些肌肉在关节上施加的力矩,以及它们在不同肢体/身体构型下对肢体运动的参与情况。该模型是后续开发自由行为小鼠综合神经生物力学模型的必要步骤;这将闭合神经控制与身体和环境之间物理相互作用的循环。