在阿尔茨海默病连续体中进行数字记忆测试的性能和验证
Sofia Toniolo1,2, Bahaaeddin Attaallah1,3, Maria Raquel Maio1
1Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Brain communications
|January 31, 2025
概括
数字记忆测试可以有效地选和跟踪阿尔茨海默病风险人群的认知变化,有助于早期检测和管理. 这些新的数字指标在临床环境中显示出对分层患者和监测疾病进展的承诺.
科学领域:
- 临床神经科学 临床神经科学
- 数字卫生技术数字卫生技术
- 神经退行性疾病 神经退行性疾病
背景情况:
- 数字认知测试提供了一种新的方法来检查和监测认知功能.
- 阿尔茨海默病 (AD) 连续性对早期检测和跟踪提出了挑战.
- 传统的神经心理测试在可访问性和可扩展性方面存在局限性.
研究的目的:
- 评估基于平板电脑的记忆任务的数字指标,用于在阿尔茨海默病连续性中对患者进行分层.
- 将数字指标的性能与传统的纸笔认知查测试进行比较.
- 评估数字指标跟踪认知衰退随时间推移的能力.
主要方法:
- 一个基于平板电脑的"什么在哪里?" 牛津记忆任务是亲自进行的.
- 325名参与者包括健康对照,主观认知衰退,轻度认知障碍和阿尔茨海默病痴呆症.
- 分析了数字指标,以确定它们在群体之间进行歧视和预测认知衰退的能力.
主要成果:
- 大多数数字指标区分健康对照和轻度认知障碍,以及轻度认知障碍和阿尔茨海默病痴呆症.
- 绝对局部错误在主观认知衰退和轻度认知障碍之间进行了区分.
- 鉴定准确度预测了海马缩,性能与标准查测试相比.
结论:
- 数字记忆测试可以有效地在阿尔茨海默病连续性中对个体进行分层.
- 这些数字工具显示出在临床环境和监测认知表现的试验中使用的潜力.
- 数字指标为神经退行性疾病的认知衰退的早期检测和管理提供了一个有希望的途径.
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