使用基于虚拟现实的视觉感知学习用于中风视野缺陷的数字治疗方法:双盲随机试验
Eun Namgung1, Sun U Kwon2, Moon-Ku Han3
1Asan Institute for Life Sciences, Asan Medical Center, Seoul, South Korea.
Brain and behavior
|May 22, 2024
概括
视觉感知学习 (VPL) 数字疗法在中风后视野缺陷 (VFDs) 中改善视力方面显示出希望. 虽然这两种训练类型都改善了视觉区域,但需要进一步的研究来证实具体的治疗优势.
科学领域:
- 神经科学是一个神经科学.
- 眼科医生 眼科 眼科
- 康复医学 康复医学 康复医学
背景情况:
- 脑卒中后视野缺陷 (VFDs) 是一种常见且令人衰弱的并发症.
- 视觉感知学习 (VPL) 为恢复受影响个体的视觉敏感性提供了潜在的治疗途径.
- 使用VPL的数字治疗方法为管理VFD提供了一种新的方法.
研究的目的:
- 调查基于VPL的数字治疗方法 (Nunap Vision [NV]) 的疗效和安全性,用于治疗中风后的VFD.
- 为了比较NV (缺陷现场训练) 与控制干预 (NV-C,中央现场训练) 的治疗效果.
主要方法:
- 进行了一项多中心,双盲,随机对照试验.
- 患有VFD的中风患者接受了为期12周的基于虚拟现实的视觉感知训练 (NV或NV-C).
- 视野评估使用了Humphrey视野 (HVF) 测试在基线和后续.
主要成果:
- 无论是NV和NV-C组,在视觉区域均表现出临床上有意义的改善.
- 集团内部分析显示,在NV训练后,缺陷半球场的平均总偏差得分显著改善 (p=.03).
- 没有观察到治疗疗效在组之间有显著差异.
结论:
- 基于VPL的数字疗法可能会导致中风后的VFD患者的视觉显著改善.
- 对照组的意想不到的改善表明了潜在的学习转移效应.
- 需要进一步调查,以阐明NV与控制干预相比,NV的具体好处.
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