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Ecological Virtual Reality Evaluation of Neglect Symptoms (EVENS): Effects of Virtual Scene Complexity in the Assessment of Poststroke Unilateral Spatial Neglect

机译:生态虚拟现实评估忽视症状(evens):虚拟场景复杂性在失败间隔空间忽视评估中的影响

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Background. Unilateral spatial neglect (USN) is a highly prevalent and disabling poststroke impairment. USN is traditionally assessed with paper-and-pencil tests that lack ecological validity, generalization to real-life situations and are easily compensated for in chronic stages. Virtual reality (VR) can, however, counteract these limitations. Objective. We aimed to examine the feasibility of a novel assessment of USN symptoms in a functional shopping activity, the Ecological VR-based Evaluation of Neglect Symptoms (EVENS). Methods. EVENS is immersive and consists of simple and complex 3-dimensional scenes depicting grocery shopping shelves, where joystick-based object detection and navigation tasks are performed while seated. Effects of virtual scene complexity on navigational and detection abilities in patients with (USN+, n = 12) and without (USN-, n = 15) USN following a right hemisphere stroke and in age-matched healthy controls (HC, n = 9) were determined. Results. Longer detection times, larger mediolateral deviations from ideal paths and longer navigation times were found in USN+ versus USN- and HC groups, particularly in the complex scene. EVENS detected lateralized and nonlateralized USN-related deficits, performance alterations that were dependent or independent of USN severity, and performance alterations in 3 USN- subjects versus HC. Conclusion. EVENS' environmental changing complexity, along with the functional tasks of far space detection and navigation can potentially be clinically relevant and warrant further empirical investigation. Findings are discussed in terms of attentional models, lateralized versus nonlateralized deficits in USN, and tasks-specific mechanisms.
机译:背景。单方面空间忽视(USN)是一个普遍存存和禁用的失败障碍。传统上,USN与纸张和铅笔测试评估,缺乏生态有效性,概括到现实生活中,并且在慢性阶段容易弥补。但是,虚拟现实(VR)可以抵消这些限制。客观的。我们旨在审查在功能性购物活动中对USN症状进行新评估的可行性,生态VR的忽视症状评估(evens)。方法。 evens是沉浸的,包括描绘杂货购物架的简单和复杂的三维场景,其中基于操纵杆的物体检测和导航任务是在坐姿进行的。在右半球中风和年龄匹配的健康对照后(USN +,N = 12)和(USN-,N = 15)和(HC,N = 9)后(HC,N = 9)患者(USN-,N = 15)USN的导航和检测能力对导航和检测能力的影响确定了。结果。在USN +与USN和HC组中,发现了较长的检测时间,从理想路径和较长的导航时间中发现了较大的来自理想路径和更长的导航时间,特别是在复杂场景中。 DEVENS检测到潜在的和非向相关的USN相关的赤字,依赖或独立于USN严重程度的性能改造,以及3个USN-科目与HC的绩效变更。结论。 evens的环境变化复杂性,以及远程空间检测和导航的功能任务可能是临床相关的,并提供进一步的实证调查。在注意力模型方面讨论了调查结果,侧向化与USN中的非向子化缺陷以及特定于任务的机制。

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