AUTHOR=Saito Tsuyoshi , Ogihara Naomichi , Takei Tomohiko , Seki Kazuhiko TITLE=Musculoskeletal Modeling and Inverse Dynamic Analysis of Precision Grip in the Japanese Macaque JOURNAL=Frontiers in Systems Neuroscience VOLUME=15 YEAR=2021 URL=https://www.frontiersin.org/journals/systems-neuroscience/articles/10.3389/fnsys.2021.774596 DOI=10.3389/fnsys.2021.774596 ISSN=1662-5137 ABSTRACT=

Toward clarifying the biomechanics and neural mechanisms underlying coordinated control of the complex hand musculoskeletal system, we constructed an anatomically based musculoskeletal model of the Japanese macaque (Macaca fuscata) hand, and then estimated the muscle force of all the hand muscles during a precision grip task using inverse dynamic calculation. The musculoskeletal model was constructed from a computed tomography scan of one adult male macaque cadaver. The hand skeleton was modeled as a chain of rigid links connected by revolute joints. The path of each muscle was defined as a series of points connected by line segments. Using this anatomical model and a model-based matching technique, we constructed 3D hand kinematics during the precision grip task from five simultaneous video recordings. Specifically, we collected electromyographic and kinematic data from one adult male Japanese macaque during the precision grip task and two sequences of the precision grip task were analyzed based on inverse dynamics. Our estimated muscular force patterns were generally in agreement with simultaneously measured electromyographic data. Direct measurement of muscle activations for all the muscles involved in the precision grip task is not feasible, but the present inverse dynamic approach allows estimation for all the hand muscles. Although some methodological limitations certainly exist, the constructed model analysis framework has potential in clarifying the biomechanics and neural control of manual dexterity in macaques and humans.