Furuya Shinichi, Nakamura Ayumi, Nagata Noriko
Department of Information and Communication Science, Sophia University, Tokyo, Japan.
Graduate School of Science and Technology, Kwansei Gakuin University, Nishinomiya, Japan.
Neurosci Lett. 2014 Aug 8;577:38-44. doi: 10.1016/j.neulet.2014.06.012. Epub 2014 Jun 13.
Extensive motor practice can reorganize movements of a redundant number of degrees of freedom (DOFs). Using principal component (PC) analysis, the present study characterized the movement reorganization of the hand that possesses a large number of DOFs during a course of practice. Five musically naïve individuals practiced to play a short sequence of melody with the left hand for four successive days, and their hand kinematics was measured using a motion capture system. The PC analysis of the hand joint kinematics identified two distinct patterns of movement, which accounted for more than 80% of the total variance of movements. The second PC but not the first PC changed through practice. A correlation analysis demonstrated that the PC sensitive to the practice was characterized by coupled movements across fingers in the same direction. A regression analysis identified a decrease in the contribution of this PC to the hand movement organization through practice, which indicates a reduction of the movement covariation across fingers and thus an enhancement of the individuated finger movements. The results implicate potential of PC analysis to extract practice-invariant and practice-dependent movement patterns distinctively in complex hand motor behaviors.
大量的运动练习可以重新组织冗余数量的自由度(DOF)的运动。本研究使用主成分(PC)分析,对在练习过程中具有大量自由度的手部运动重组进行了表征。五名没有音乐基础的个体连续四天用左手练习弹奏一段简短的旋律序列,并使用动作捕捉系统测量他们的手部运动学。对手部关节运动学的主成分分析确定了两种不同的运动模式,它们占运动总方差的80%以上。第二个主成分而非第一个主成分通过练习发生了变化。相关性分析表明,对练习敏感的主成分的特征是手指间同向的耦合运动。回归分析确定,通过练习,该主成分对手部运动组织的贡献减少,这表明手指间运动协变的减少,从而表明个体手指运动的增强。结果表明,主成分分析在复杂手部运动行为中具有独特地提取练习不变和练习依赖运动模式的潜力。