Neurocognition and Action - Biomechanics Group, Bielefeld University, 33615, Bielefeld, Germany.
Margin UG, 33602, Bielefeld, Germany.
Sci Rep. 2024 Aug 14;14(1):18887. doi: 10.1038/s41598-024-69200-1.
In this study, we introduce a novel maze task designed to investigate naturalistic motor learning in bimanual coordination. We developed and validated an extended set of movement primitives tailored to capture the full spectrum of scenarios encountered in a maze game. Over a 3-day training period, we evaluated participants' performance using these primitives and a custom-developed software, enabling precise quantification of performance. Our methodology integrated the primitives with in-depth kinematic analyses and thorough thumb pressure assessments, charting the trajectory of participants' progression from novice to proficient stages. Results demonstrated consistent improvement in maze performance and significant adaptive changes in joint behaviors and strategic recalibrations in thumb pressure distribution. These findings highlight the central nervous system's adaptability in orchestrating sophisticated motor strategies and the crucial role of tactile feedback in precision tasks. The maze platform and setup emerge as a valuable foundation for future experiments, providing a tool for the exploration of motor learning and coordination dynamics. This research underscores the complexity of bimanual motor learning in naturalistic environments, enhancing our understanding of skill acquisition and task efficiency while emphasizing the necessity for further exploration and deeper investigation into these adaptive mechanisms.
在这项研究中,我们引入了一种新的迷津任务,旨在研究双手协调中的自然运动学习。我们开发并验证了一整套扩展的运动基元,旨在捕捉到在迷宫游戏中遇到的各种场景。在 3 天的训练期间,我们使用这些基元和我们自行开发的软件来评估参与者的表现,从而可以精确地量化表现。我们的方法将基元与深入的运动学分析和全面的拇指压力评估相结合,描绘了参与者从新手到熟练阶段的进展轨迹。结果表明,在迷宫表现方面有持续的提高,关节行为和拇指压力分布的策略重新调整方面也有显著的适应性变化。这些发现强调了中枢神经系统在协调复杂运动策略方面的适应性,以及触觉反馈在精确任务中的关键作用。迷津平台和设置为未来的实验提供了有价值的基础,为探索运动学习和协调动力学提供了一种工具。这项研究突出了自然环境中双手运动学习的复杂性,增强了我们对技能获取和任务效率的理解,同时强调了进一步探索和深入研究这些自适应机制的必要性。