Movement Laboratory, Department of Sport Science, Stellenbosch University, Stellenbosch, South Africa.
Physiol Meas. 2018 Dec 21;39(12):12TR01. doi: 10.1088/1361-6579/aaef44.
The development of objective quantitative tools for the assessment and monitoring of sports-related concussion is critical. Eye tracking is a novel tool that may provide suitable metrics. The aim of this review was to appraise current evidence for the use of eye tracking technology in sports-related concussion assessment and monitoring.
A systematic literature review was conducted following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. A search was run using Google Scholar, Microsoft Academic and PubMed for literature published between January 1980 and May 2018. Included were empirical research studies in English where at least 50% of the research participants were athletes, the participants were individuals with a diagnosis of concussion, and eye movements were measured using an eye tracking device.
This systematic review integrates 21 publications on sports-related concussion and eye tracking technology, nine of which also qualified for the meta-analysis. Overall, the literature reported significant findings for variables in each of the four classes of eye tracking measurements (movement, position, count, and latency). Meta-comparison was made for seven variables for the acute concussions (the difference between the concussed and the control groups was significant for all of them) and one variable for the latent concussions (the difference was not significant).
Most saccadic and pursuit deficits may be missed during clinical examination, and therefore eye tracking technology may be a useful and sensitive screening and monitoring tool for sports-related concussions. The inconsistencies between the eye movement metrics and methodology still make inferences challenging; however, using tasks that are closely related to brain areas involved in executive functions (such as memory-based saccade or antisaccade tasks) in the acute injury phase holds promise in differentiating between athletes who have a concussion compared to those who do not.
开发用于评估和监测与运动相关的脑震荡的客观定量工具至关重要。眼动追踪是一种可能提供合适指标的新型工具。本综述的目的是评估眼动追踪技术在与运动相关的脑震荡评估和监测中的当前应用证据。
按照系统评价和荟萃分析的首选报告项目(PRISMA)指南进行系统文献综述。使用 Google Scholar、Microsoft Academic 和 PubMed 搜索了 1980 年 1 月至 2018 年 5 月期间发表的英文文献。纳入的研究包括至少 50%的研究参与者为运动员的实证研究,参与者为被诊断患有脑震荡的个体,并且使用眼动追踪设备测量眼动。
本系统综述综合了 21 篇关于与运动相关的脑震荡和眼动追踪技术的文献,其中 9 篇也符合荟萃分析的要求。总体而言,文献报告了四类眼动测量(运动、位置、计数和潜伏期)中的每个变量的显著发现。对 7 个急性脑震荡变量进行了元比较(脑震荡组与对照组之间的差异对所有变量均有统计学意义),对 1 个潜伏期脑震荡变量进行了元比较(差异无统计学意义)。
在临床检查中,大多数眼跳和追踪缺陷可能会被遗漏,因此眼动追踪技术可能是一种有用且敏感的筛查和监测工具,用于与运动相关的脑震荡。眼动指标和方法之间的不一致仍然使推断具有挑战性;然而,在急性损伤阶段使用与参与执行功能的大脑区域密切相关的任务(例如基于记忆的眼跳或反向眼跳任务)有望区分有脑震荡的运动员与没有脑震荡的运动员。