Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600036, India.
Sci Rep. 2023 Nov 20;13(1):20290. doi: 10.1038/s41598-023-47620-9.
The human hand, with many degrees of freedom, serves as an excellent tool for dexterous manipulation. Previous research has demonstrated that there exists a lower-dimensional subspace that synergistically controls the full hand kinematics. The elements of this subspace, also called synergies, have been viewed as the strategy developed by the CNS in the control of finger movements. Considering that the control of fingers is lateralized to the contralateral hemisphere, how the synergies differ for the control of the dominant and the non-dominant hand has not been widely addressed. In this paper, hand kinematics was recorded using electromagnetic tracking system sensors as participants made various postures and object grasps with their dominant hand and non-dominant hand separately. Synergies that explain 90% of variance in data of both hands were analyzed for similarity at the individual level as well as at the population level. The results showed no differences in synergies between the hands at both these levels. PC scores and cross-reconstruction errors were analyzed to further support the prevalence of similarity between the synergies of the hands. Future work is proposed, and implications of the results to the treatment and diagnosis of neuromotor disorders are discussed.
人手具有多个自由度，是进行灵巧操作的理想工具。先前的研究表明，手的运动学存在一个协同控制的低维子空间。这个子空间中的元素，也被称为协同，被认为是中枢神经系统在控制手指运动时所采用的策略。考虑到手部的控制是偏向于对侧大脑半球的，那么对于优势手和非优势手的控制，协同作用有何不同，这一点尚未得到广泛研究。在本文中，我们使用电磁跟踪系统传感器记录参与者用优势手和非优势手完成各种姿势和物体抓握时的手部运动学数据。我们分析了能够解释双手数据 90%方差的协同作用，以个体和群体水平评估它们之间的相似性。结果表明，在这两个水平上，手之间的协同作用没有差异。我们还分析了 PC 分数和交叉重构误差，以进一步支持手的协同作用之间存在相似性的观点。最后提出了未来的工作方向，并讨论了这些结果对神经运动障碍的治疗和诊断的影响。
