Ranganathan Rajiv, Lee Mei-Hua, Krishnan Chandramouli
Department of Kinesiology, Michigan State University, East Lansing MI, USA.
Department of Physical Medicine & Rehabilitation, University of Michigan, Ann Arbor MI, USA.
Braz J Mot Behav. 2022 Jun;16(2):112-133. doi: 10.20338/bjmb.v16i2.283.
Motor learning is a central focus of several disciplines including kinesiology, neuroscience and rehabilitation. However, given the different traditions of these fields, this interdisciplinarity can be a challenge when trying to interpret evidence and claims from motor learning experiments. To address this issue, we offer a set of ten guidelines for designing motor learning experiments starting from task selection to data analysis, primarily from the viewpoint of running lab-based experiments. The guidelines are not intended to serve as rigid rules, but instead to raise awareness about key issues in motor learning. We believe that addressing these issues can increase the robustness of work in the field and its relevance to the real-world.
运动学习是包括运动机能学、神经科学和康复学在内的多个学科的核心关注点。然而，鉴于这些领域的不同传统，在试图解读运动学习实验的证据和主张时，这种跨学科性可能会成为一项挑战。为解决这一问题，我们从基于实验室的实验角度出发，提供了一套从任务选择到数据分析的十条运动学习实验设计指南。这些指南并非旨在作为严格的规则，而是为了提高对运动学习关键问题的认识。我们相信，解决这些问题可以增强该领域研究工作的稳健性及其与现实世界的相关性。
