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Detection of Alzheimer’s Disease-Related Cognitive Change With the Mobile Cognitive App Performance Platform

机译:用移动认知应用程序性能平台检测阿尔茨海默病相关的认知变化

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Abstract This study investigates the psychometric properties of the mobile cognitive app performance platform (mCAPP), designed to detect memory changes associated with preclinical Alzheimer’s Disease (AD). The mCAPP memory task includes learning and matching hidden card pairs and incorporates increasing memory load, pattern separation features, and spatial memory. Participants included 30 older adults with normal cognition. They completed the mCAPP, paper and pencil neuropsychological tests and a subset completed a high-resolution structural MRI. The majority of participants found the difficulty level of the mCAPP game to be “just right”. Accuracy on the mCAPP correlated with performance on memory and executive measures, while speed of performance on the mCAPP correlated with performance on attention and executive function measures. Longer trial duration correlated with measures of the parahippocampal cortex. The relationship of mCAPP variables with molecular biomarkers, at-home and burst testing, and development of additional cognitive measures will also be discussed.
机译:摘要本研究调查了移动认知应用程序性能平台(MCAPP)的心理性质,旨在检测与临床前阿尔茨海默病(AD)相关的内存变化。 McApp内存任务包括学习和匹配隐藏卡对,并包含增加的内存负载,图案分离功能和空间存储器。参与者包括30名具有正常认知的老年人。他们完成了McApp,纸张和铅笔神经心理学测试,并且一个子集完成了高分辨率结构MRI。大多数参与者发现McApp游戏的难度水平为“恰到好处”。 MCAPP的准确性与内存和执行措施的性能相关,而MCAPP上的性能速度与关注性能和执行功能措施相关。较长的试验持续时间与PARAHIPPOPAL PORTEX的措施相关。 McApp变量与分子生物标志物,家庭和突发测试的关系,也将讨论以及额外的认知措施的发展。

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