Ranganathan Rajiv
Department of Kinesiology, Michigan State University, 308 W Circle Dr Rm 126, East Lansing, MI, 48824, USA.
J Neuroeng Rehabil. 2017 Sep 11;14(1):90. doi: 10.1186/s12984-017-0300-8.
Impairment of hand and finger function after stroke is common and affects the ability to perform activities of daily living. Even though many of these coordination deficits such as finger individuation have been well characterized, it is critical to understand how stroke survivors learn to explore and reorganize their finger coordination patterns for optimizing rehabilitation. In this study, I examine the use of a body-machine interface to assess how participants explore their movement repertoire, and how this changes with continued practice.
Ten participants with chronic stroke wore a data glove and the finger joint angles were mapped on to the position of a cursor on a screen. The task of the participants was to move the cursor back and forth between two specified targets on a screen. Critically, the map between the finger movements and cursor motion was altered so that participants sometimes had to generate coordination patterns that required finger individuation. There were two phases to the experiment - an initial assessment phase on day 1, followed by a learning phase (days 2-5) where participants trained to reorganize their coordination patterns.
Participants showed difficulty in performing tasks which had maps that required finger individuation, and the degree to which they explored their movement repertoire was directly related to clinical tests of hand function. However, over four sessions of practice, participants were able to learn to reorganize their finger movement coordination pattern and improve their performance. Moreover, training also resulted in improvements in movement repertoire outside of the context of the specific task during free exploration.
Stroke survivors show deficits in movement repertoire in their paretic hand, but facilitating movement exploration during training can increase the movement repertoire. This suggests that exploration may be an important element of rehabilitation to regain optimal function.
中风后手和手指功能受损很常见,会影响日常生活活动能力。尽管许多此类协调缺陷,如手指个体化,已得到充分描述,但了解中风幸存者如何学习探索和重新组织其手指协调模式以优化康复至关重要。在本研究中,我研究了使用身体-机器接口来评估参与者如何探索其运动技能库,以及随着持续练习这是如何变化的。
10名慢性中风患者佩戴数据手套,手指关节角度被映射到屏幕上光标的位置。参与者的任务是在屏幕上两个指定目标之间来回移动光标。关键的是,手指运动和光标运动之间的映射被改变,以便参与者有时必须生成需要手指个体化的协调模式。实验有两个阶段——第1天的初始评估阶段,随后是学习阶段(第2 - 5天),参与者在该阶段训练重新组织其协调模式。
参与者在执行需要手指个体化映射的任务时表现出困难,他们探索运动技能库的程度与手功能的临床测试直接相关。然而,经过四个练习阶段,参与者能够学会重新组织其手指运动协调模式并提高表现。此外,训练还导致在自由探索期间,在特定任务背景之外的运动技能库有所改善。
中风幸存者患侧手的运动技能库存在缺陷,但在训练期间促进运动探索可以增加运动技能库。这表明探索可能是恢复最佳功能的康复的一个重要因素。