Visual sensitivity modulates postural sway in a virtual environment in healthy elderly and individuals with stroke

J. Slaboda, E. Keshner
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Abstract

We employed a virtual environment to examine the impact of visual sensitivity on postural behaviors in adults with chronic symptoms of stroke. Six adults at least 1 year post-stroke (52–70 yrs) and 6 healthy adults (50–70 yrs) were tested in a Rod and Frame test. They then stood quietly on a platform within a 3-wall virtual environment. The platform was tilted 3° into dorsiflexion while in the dark, with visual motion matched to head motion, or with pitch up and down visual field rotations at 30 and 45 °/sec. While the visual field rotated, the platform was held tilted for 30 sec and then slowly returned to a neutral position over 30 sec. Center of pressure (COP) was recorded and approximate entropy (ApEn) values were calculated and compared with visual error from the Rod and Frame test. No significant differences in visual errors were detected in the Rod and Frame task between the populations. However, in subjects with large visual errors (>8 deg) strong inverse correlations with ApEn values (r>−0.7) emerged with either a scene referenced to head motion or matched to the velocity of the platform tilt. ApEn values were typically below 1 indicating that COP responses were mostly predictable and reflecting a single input. This low ApEn with increased visual error suggests that the visual field serves as a meaningful reference for postural stabilization in visually dependent adults. Our results support the use of virtual environments to generate adaptive postural behaviors.
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在虚拟环境中,视觉敏感性调节健康老年人和中风患者的姿势摇摆
我们采用虚拟环境来研究视觉敏感性对成人慢性中风患者姿势行为的影响。对6名中风后至少1年的成年人(52-70岁)和6名健康成年人(50-70岁)进行了Rod and Frame测试。然后,他们静静地站在一个平台上,在一个三面墙的虚拟环境中。在黑暗中,平台倾斜3°,背屈,视觉运动与头部运动相匹配,或俯仰上下视野旋转30°和45°/秒。当视野旋转时,平台保持倾斜30秒,然后在30秒内缓慢返回到中立位置。记录压力中心(COP),计算近似熵(ApEn)值,并将其与Rod and Frame测试的视觉误差进行比较。在Rod和Frame任务中,两组之间的视觉误差没有显著差异。然而,在视觉误差较大(> - 8度)的受试者中,无论是与头部运动相关的场景还是与平台倾斜速度相匹配的场景,ApEn值(r> - 0.7)与ApEn值呈强烈的负相关。ApEn值通常低于1,表明COP响应大多是可预测的,反映了单一输入。这种低ApEn和增加的视觉误差表明,视野为视觉依赖成人的姿势稳定提供了有意义的参考。我们的研究结果支持使用虚拟环境来产生适应性姿势行为。
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