与NIH工具箱和Cogstate上的健康老年对照相比,轻度认知障碍亚型的表现
Sarah Garcia1, Robert L Askew1, Voyko Kavcic2
1Department of Psychology, Stetson University, DeLand, FL.
Alzheimer disease and associated disorders
|October 20, 2023
概括
计算机认知测试可以帮助检测轻度认知障碍 (MCI) 和其亚型. 一些NIH工具箱认知子测试有效地将MCI与健康对照和像amnestic MCI这样的亚型区分开来.
科学领域:
- 神经科学是一个神经科学.
- 老年学是一门学科.
- 认知心理学 认知心理学
背景情况:
- 早期发现痴呆症对于有效治疗至关重要.
- 计算机认知测试在临床试验中越来越多地使用.
- 这些测试对早期神经退行症状的敏感性需要进一步调查.
研究的目的:
- 评估NIH工具箱-认知 (NIHTB-CB) 和Cogstate-Brief电池,用于识别轻度认知障碍 (MCI).
- 为了区分健康对照 (HC) 和患有MCI的个体.
- 为了区分遗忘性MCI (aMCI) 和非遗忘性MCI (naMCI) 亚型.
主要方法:
- 评估了266名老年人,包括患有aMCI (n=58),MMCI (n=15) 和HC (n=133) 的老年人.
- 计算机化的神经心理学电池,NIHTB-CB和Cogstate-Brief被使用.
- 探索性分析检查了测试表现和诊断组的潜在种族差异.
主要成果:
- 美国国立卫生研究院工具箱-CB子测试 (Flanker,图片序列记忆,图片词汇) 显著区分了MCI与HC.
- 这两种电脑化电池都区分了aMCI和MAMCI.
- 观察到种族的显著主要影响,但没有发现任何显著的种族对测试相互作用.
结论:
- 基于计算机的子测试显示了识别MCI亚型的潜力.
- 这些测试提供了具有成本效益和可访问的查工具,用于早期识别可能需要进一步评估的个人.
- 计算机化测试的进一步改进是必要的,以提高在区分认知障碍亚型的准确性.
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