在CERAD-K的子测试得分与新开发的基于平板电脑的数字认知测试 (Inbrain CST) 之间的相关性分析
Seunghee Na1, Sang Won Seo2, Young Ju Kim2
1Department of Neurology, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Frontiers in aging neuroscience
|July 17, 2023
概括
内脑认知查测试 (CST) 与用于检测认知障碍的传统CERAD-K评估有很强的相关性. 这使得Inbrain CST成为可靠,高效和具有成本效益的工具,用于识别患痴呆风险的个体.
科学领域:
- 神经学 神经学
- 老年学是一门学科.
- 认知科学 认知科学
背景情况:
- 阿尔茨海默病和其他痴呆症的流行率不断上升,需要及早识别风险.
- 传统的神经心理评估是耗时且昂贵的.
- 计算机认知测试提供了一个可行的替代方案,在临床和研究环境中获得了吸引力.
研究的目的:
- 研究大脑内认知查测试 (CST) 和建立阿尔茨海默病评估包注册表 (CERAD-K) 联盟之间的相关性.
- 评估内脑CST作为检测认知障碍的工具.
主要方法:
- 166名参与者,包括没有认知障碍和轻度认知障碍 (MCI) 个体,在韩国共和国被录取.
- 认知功能的评估使用了脑内CST和CERAD-K.
- 两个评估中的子测试得分进行了比较.
主要成果:
- 在Inbrain CST和CERAD-K子测试之间观察到显著的相关性.
- 多变量分析证实了Inbrain CST和CERAD-K测试对之间的显著相关性,即使对年龄,教育和性别进行了调整.
结论:
- 内脑CST是一种可靠的工具,用于检测认知障碍在认知不受损的个人和那些有MCI.
- 内脑CST显示了与CERAD-K的高度相关性和一致性.
- 内脑CST作为一个有用的,时间效率和成本效益的基于计算机的认知测试,用于那些有认知障碍风险的人.
更多相关视频
13:09Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol
Published on: April 1, 2018
10.4K
08:43Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
7.9K
相关概念视频
Spearman's Rank Correlation Test
867
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates...
Spearman's test calculates...
867
Correlations
33.3K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
33.3K
