Mooney Scott W J, Alam Nazia M, Sciarabba Matthew J, Sheldon Kieran R, Prusky Glen T
Burke Neurological Institute, White Plains, NY, USA.
Blythedale Children's Hospital, Valhalla, NY, USA.
Res Sq. 2024 Jul 30:rs.3.rs-4511323. doi: 10.21203/rs.3.rs-4511323/v1.
Brain injury can cause many distinct types of visual impairment in children, but these deficits are difficult to quantify due to co-morbid deficits in communication and cognition. Clinicians must instead rely on low-resolution, subjective judgements of simple reactions to handheld stimuli, which limits treatment potential. We have developed an interactive assessment program called the Visual Ladder, which uses gaze-based responses to intuitive, game-like tasks to address the lack of broad-spectrum quantified data on the visual abilities of children with brain injury. Here, we present detailed metrics on eye movements, field asymmetries, contrast sensitivity, and other critical visual abilities measured longitudinally using the Ladder in hospitalized children with varying types and degrees of brain injury, many of whom were previously considered untestable. Our findings show which abilities are most likely to exhibit recovery and reveal how distinct patterns of task outcomes defined unique diagnostic clusters of visual impairment.
脑损伤会在儿童中导致多种不同类型的视力障碍,但由于存在沟通和认知方面的共病缺陷,这些缺陷难以量化。临床医生只能依靠对手持刺激的简单反应进行低分辨率的主观判断,这限制了治疗潜力。我们开发了一个名为“视觉阶梯”的交互式评估程序,它利用基于注视的反应来完成直观的、类似游戏的任务,以解决脑损伤儿童视觉能力缺乏广谱量化数据的问题。在此,我们展示了关于眼动、视野不对称、对比敏感度以及其他关键视觉能力的详细指标,这些指标是通过“阶梯”对住院的不同类型和程度脑损伤儿童进行纵向测量得到的,其中许多儿童此前被认为无法进行测试。我们的研究结果表明哪些能力最有可能出现恢复,并揭示了任务结果的不同模式如何定义独特的视力障碍诊断集群。