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VREAD: A Virtual Simulation to Investigate Cognitive Function in the Elderly

机译:VREAD:调查老年人认知功能的虚拟模拟

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Recent studies have shown that people with mild cognitive impairment (MCI) may convert to Alzheimer's disease (AD) over time although not all MCI cases progress to dementia. The diagnosis of MCI is important to allow prompt treatment and disease management before the neurons degenerate to a stage beyond repair. Hence, the ability to obtain a method of identifying MCI is of great importance. VREAD is a quick, easy and friendly tool that was developed with an aim to investigate cognitive functioning in a group of healthy elderly and those with MCI. It focuses on the task of following a route, since Topographical Disorientation (TD) is common in AD. The results shows that this novel simulation was able to predict with about 90% overall accuracy using weighting function proposed to discriminate between MCI and healthy elderly.
机译:最近的研究表明,尽管并非所有MCI病例都会发展为痴呆症,但轻度认知障碍(MCI)人群可能会随时间转变为阿尔茨海默氏病(AD)。 MCI的诊断对于在神经元退化到无法修复的阶段之前进行及时的治疗和疾病管理非常重要。因此,获得识别MCI的方法的能力非常重要。 VREAD是一种快速,简单且友好的工具,旨在研究一组健康的老年人和MCI患者的认知功能。由于地形失定向(TD)在AD中很常见,因此它着重于遵循路线的任务。结果表明,使用提议的加权函数来区分MCI和健康的老年人,这种新颖的模拟能够以大约90%的整体准确度进行预测。

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