Junghans Barbara M, Khuu Sieu K
School of Optometry and Vision Science, University of New South Wales Sydney, Sydney, NSW, Australia.
Front Neurosci. 2019 Jul 10;13:711. doi: 10.3389/fnins.2019.00711. eCollection 2019.
Currently the integrity of brain function that drives behavior is predominantly measured in terms of pure motor function, yet most human behavior is visually driven. A means of easily quantifying such visually-driven brain function for comparison against population norms is lacking. Analysis of eye-hand coordination (EHC) using a digital game-like situation with downloadable spatio-temporal details has potential for clinicians and researchers. A simplified protocol for the Lee-Ryan EHC (Slurp) Test app for iPad® has been developed to monitor EHC. The two subtests selected, each of six quickly completed items with appeal to all ages, were found equivalent in terms of total errors/time and sensitive to developmental and aging milestones known to affect EHC. The sensitivity of outcomes due to the type of stylus being used during testing was also explored. Populations norms on 221 participants aged 5 to 80years are presented for each test item according to two commonly used stylus types. The Slurp app uses two-dimensional space and is suited to clinicians for pre/post-intervention testing and to researchers in psychological, medical, and educational domains who are interested in understanding brain function.
目前,驱动行为的脑功能完整性主要是根据纯运动功能来衡量的,然而大多数人类行为是由视觉驱动的。目前缺乏一种能够轻松量化这种视觉驱动的脑功能并与群体标准进行比较的方法。利用具有可下载时空细节的类似数字游戏的情境来分析眼手协调(EHC),对临床医生和研究人员来说具有潜力。已开发出一种适用于iPad®的Lee-Ryan EHC(Slurp)测试应用程序的简化协议,用于监测眼手协调。所选择的两个子测试,每个子测试都有六个能吸引所有年龄段人群且能快速完成的项目,在总错误数/时间方面被发现是等效的,并且对已知会影响眼手协调的发育和衰老里程碑敏感。还探讨了测试期间使用的触控笔类型对结果的敏感性。根据两种常用的触控笔类型,给出了221名年龄在5至80岁参与者的每个测试项目的群体标准。Slurp应用程序使用二维空间,适用于临床医生进行干预前后测试,也适用于心理、医学和教育领域中对理解脑功能感兴趣的研究人员。