认知敏感空间虚拟现实游戏对阿尔茨海默病的评估。

IF 2.6 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Medical & Biological Engineering & Computing Pub Date : 2024-12-26 DOI:10.1007/s11517-024-03270-1
Rashmita Chatterjee, Zahra Moussavi
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引用次数: 0

摘要

空间损伤是阿尔茨海默病(AD)最早期的特征。我们展示了“谷仓废墟”的设计和初步评估,这是一款针对早期AD的严肃虚拟现实(VR)寻路游戏。《Barn Ruins》是根据这一群体的认知能力量身定制的,具有简单的控制和基于错误的评分系统。10名年轻人、10名认知健康的老年人和10名年龄匹配的AD患者参加了这项研究。他们在游戏前接受了蒙特利尔认知评估(MoCA)和蒙哥马利-Åsberg抑郁评定量表(MADRS)的认知评估。这款游戏涉及在虚拟环境中导航,找到目标房间,难度不断增加。本研究旨在通过研究谷仓遗址空间学习得分与蒙特利尔认知评估(MoCA)得分的关系,证实其认知敏感性。MoCA得分与空间学习得分的相关系数为0.755 (p
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Evaluation of a cognition-sensitive spatial virtual reality game for Alzheimer's disease.

Spatial impairment characterizes Alzheimer's disease (AD) from its earliest stages. We present the design and preliminary evaluation of "Barn Ruins," a serious virtual reality (VR) wayfinding game for early-stage AD. Barn Ruins is tailored to the cognitive abilities of this population, featuring simple controls and error-based scoring system. Ten younger adults, ten cognitively healthy older adults, and ten age-matched individuals with AD participated in this study. They underwent cognitive assessments using the Montreal Cognitive Assessment (MoCA) and the Montgomery-Åsberg Depression Rating Scale (MADRS) before gameplay. The game involves navigating a virtual environment to find a target room, with increasing levels of difficulty. This study aimed to confirm the cognitive sensitivity of the Barn Ruins' spatial learning score by studying its relationship with Montreal Cognitive Assessment (MoCA) scores. MoCA scores and spatial learning scores had a correlation coefficient of 0.755 (p < 0.001). Logistic regression further revealed that higher spatial learning scores significantly predicted lower odds of cognitive impairment (OR = 0.495, 95% CI [0.274, 0.746], p < 0.005). The initial results suggest that the game is effective in differentiating performance among participant groups. This research demonstrates the potential of the Barn Ruins game as an innovative tool for assessing spatial navigation in AD, highlighting areas for future validation and investigation as a training tool.

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来源期刊
Medical & Biological Engineering & Computing
Medical & Biological Engineering & Computing 医学-工程:生物医学
CiteScore
6.00
自引率
3.10%
发文量
249
审稿时长
3.5 months
期刊介绍: Founded in 1963, Medical & Biological Engineering & Computing (MBEC) continues to serve the biomedical engineering community, covering the entire spectrum of biomedical and clinical engineering. The journal presents exciting and vital experimental and theoretical developments in biomedical science and technology, and reports on advances in computer-based methodologies in these multidisciplinary subjects. The journal also incorporates new and evolving technologies including cellular engineering and molecular imaging. MBEC publishes original research articles as well as reviews and technical notes. Its Rapid Communications category focuses on material of immediate value to the readership, while the Controversies section provides a forum to exchange views on selected issues, stimulating a vigorous and informed debate in this exciting and high profile field. MBEC is an official journal of the International Federation of Medical and Biological Engineering (IFMBE).
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