Sangole Archana P, Levin Mindy F
Department of Mechanical Engineering, Ecole Polytechnique, 2900 Edouard-Montpetit, Montreal, QC, H3T 1J4, Canada.
Exp Brain Res. 2009 Oct;199(1):59-70. doi: 10.1007/s00221-009-1972-5. Epub 2009 Aug 19.
Hand shape modulation has traditionally been studied within the framework of reach-to-grasp tasks by examining the control of arm transport, grip aperture scaling, and finger joint excursions. However, global parameters characterizing arm and hand movement can be enhanced by additional knowledge of biomechanical changes in the hand. We previously examined palmar arch modulation during grasping in healthy subjects by identifying thenar and hypothenar displacement. This method was used to characterize hand shape modulation in 10 stroke survivors with mild hand paresis, as assessed by the Chedoke-McMaster clinical scale, during two types of grasps (spherical, cylindrical). Palmar arch modulation was examined during the three phases of prehensile movement: transport shaping (P1), preshaping (P2), and contact shaping (P3). Compared to the control group, the stroke survivors showed significant differences (spherical: F (2,18) = 12.025, P < 0.001; cylindrical: F (2,18) = 9.054, P < 0.001) in palmar arch modulation particularly during P3 wherein fine adjustments are made to the grip in preparation for object manipulation. While control subjects completed most of hand shape modulation early in the task, stroke survivors took longer to complete each phase. Furthermore, stroke survivors started with a flatter hand which required relatively more arch modulation during the latter part of the task, thereby reflecting a temporal and spatial concurrency between the phases. Stroke survivors with well-recovered hand grasping ability tended to incorporate compensations/adaptations in hand posture during specific grasping phases. Palmar arch analysis provides us with a more complete understanding about how hand biomechanics, specifically palmar concavity articulation, is changed post-stroke. This will allow us to better identify the motor compensations used for grasping and to re-focus rehabilitation interventions to reduce compensations and improve functional motor recovery.
传统上,手部形状调制是在伸手抓握任务的框架内进行研究的,通过检查手臂运输、抓握孔径缩放和手指关节运动来实现。然而,通过了解手部生物力学变化的额外知识,可以增强表征手臂和手部运动的全局参数。我们之前通过识别大鱼际和小鱼际位移,研究了健康受试者抓握过程中的掌弓调制。该方法用于表征10名中风幸存者的手部形状调制,这些幸存者有轻度手部麻痹,通过Chedoke-McMaster临床量表评估,在两种抓握类型(球形、圆柱形)中进行。在抓握运动的三个阶段检查掌弓调制:运输塑形(P1)、预塑形(P2)和接触塑形(P3)。与对照组相比,中风幸存者在掌弓调制方面表现出显著差异(球形:F(2,18)=12.025,P<0.001;圆柱形:F(2,18)=9.054,P<0.001),特别是在P3阶段,此时为准备物体操作对手部抓握进行精细调整。虽然对照组在任务早期就完成了大部分手部形状调制,但中风幸存者完成每个阶段所需的时间更长。此外,中风幸存者开始时手部较平,在任务后期需要相对更多的掌弓调制,从而反映了各阶段之间的时间和空间并发情况。手部抓握能力恢复良好的中风幸存者在特定抓握阶段倾向于对手部姿势进行补偿/适应。掌弓分析使我们能够更全面地了解中风后手部生物力学,特别是掌凹关节是如何变化的。这将使我们能够更好地识别用于抓握的运动补偿,并重新聚焦康复干预措施,以减少补偿并改善功能性运动恢复。