Department of Bionano Technology, Gachon University, Seongnam-si, South Korea.
Department of Neurology, College of Medicine, Chung-Ang University, Seoul, South Korea.
Appl Neuropsychol Adult. 2022 Nov-Dec;29(6):1296-1303. doi: 10.1080/23279095.2021.1871615. Epub 2021 Feb 2.
Trail Making Test-Black and White (TMT-B&W) was developed to assess the cognition of patients with mild cognitive impairment (MCI), dementia, and Alzheimer's disease. Collection and analysis of test results have been limited due to scoring time and efforts required from both administrators and patients during and after taking the test. To increase efficiency and reducing scoring time, a computer version touchscreen-based digital trail making test-black and white (dTMT-B&W) was developed on Android and it was administered on MCI versus cognitively normal controls (NC) participants. The current study examines the sensitivity of newly developed computer version dTMT-B&W on NC and MCI subjects.
dTMT-B&W was developed using MIT app inventor software, a web-based integrated development environment (IDE) with the Android development tools that are used to build fully functional applications for smartphones and tablets. A total of 44 participants were included, comprised of 22 NC and 22 MCI. The dTMT-TMT-B&W was administered to all NC and MCI subjects.
dTMT-B&W was designed to be as consistent with the pen-paper TMT-B&W (ppTMT-B&W) where the application is a standalone installation. dTMT-B&W is divided into two parts (Part-A and Part-B), in which the subject attempts to connect black and white numbered circles sequentially as quickly as possible, while still maintaining accuracy. Similarly, the paper-based TMT-B&W requires the subject to connect black and white numbered circles in ascending order, except on a sheet of paper rather than a tablet. dTMT-B&W successfully distinguished NC from MCI subjects.
dTMT-B&W is an Android application that was successfully developed to be as consistent as possible with the original pen-paper TMT-B&W to establish equal concurrent validity, with some improved features embedded into the design and dTMT-B&W revealed a significant correlation with frontal executive function and this can help in early diagnosing subjects with MCI among NC subjects.
连线测验 - 黑白版(TMT-B&W)是为评估轻度认知障碍(MCI)、痴呆和阿尔茨海默病患者的认知而开发的。由于管理员和患者在测试期间和之后都需要花费大量时间和精力来计分,因此测试结果的收集和分析受到限制。为了提高效率和缩短计分时间,我们在 Android 系统上开发了一种基于触摸屏幕的连线测验 - 黑白版(dTMT-B&W)的计算机版本,并将其应用于 MCI 与认知正常对照(NC)参与者的比较。本研究旨在检验新开发的计算机版 dTMT-B&W 在 NC 和 MCI 受试者中的敏感性。
dTMT-B&W 使用 MIT app inventor 软件开发,这是一个基于网络的集成开发环境(IDE),其中包含用于为智能手机和平板电脑构建全功能应用程序的 Android 开发工具。共有 44 名参与者,包括 22 名 NC 和 22 名 MCI。所有 NC 和 MCI 受试者均接受 dTMT-B&W 测试。
dTMT-B&W 的设计尽可能与纸笔连线测验 - 黑白版(ppTMT-B&W)保持一致,应用程序是一个独立的安装程序。dTMT-B&W 分为两部分(A 部分和 B 部分),在此过程中,受测者试图尽快将黑色和白色编号的圆圈连接起来,同时保持准确性。同样,纸笔版 TMT-B&W 要求受测者按升序连接黑色和白色编号的圆圈,只是在纸上而不是在平板电脑上进行。dTMT-B&W 成功地区分了 NC 和 MCI 受试者。
dTMT-B&W 是一个 Android 应用程序,它是成功开发的,尽可能与原始纸笔版 TMT-B&W 保持一致,以建立等效的同时有效性,同时在设计中嵌入了一些改进的功能。dTMT-B&W 与额叶执行功能显著相关,这有助于在 NC 受试者中早期诊断 MCI 患者。