Neurocognitive Disorders Program, Department of Psychiatry, Duke University School of Medicine, Durham, NC, USA.
Duke Institute for Brain Sciences, Durham, NC, USA.
J Alzheimers Dis. 2022;86(3):1131-1136. doi: 10.3233/JAD-220015.
Digital cognitive tests offer several potential advantages over established paper-pencil tests but have not yet been fully evaluated for the clinical evaluation of mild cognitive impairment.
The NeuroCognitive Performance Test (NCPT) is a web-based, self-directed, modular battery intended for repeated assessments of multiple cognitive domains. Our objective was to examine its relationship with the Alzheimer's Disease Assessment Scale-Cognition Subscale (ADAS-Cog) and Mini-Mental State Examination (MMSE) as well as with established paper-pencil tests of cognition and daily functioning in mild cognitive impairment (MCI).
We used Spearman correlations, regressions and principal components analysis followed by a factor analysis (varimax rotated) to examine our objectives.
In MCI subjects, the NCPT composite is significantly correlated with both a composite measure of established tests (r = 0.78, p < 0.0001) as well as with the ADAS-Cog (r = -0.55, p < 0.0001). Both NCPT and paper-pencil test batteries had a similar factor structure that included a large "g" component with a high eigenvalue. The correlation for the analogous tests (e.g., Trails A and B, learning memory tests) were significant (p < 0.0001). Further, both the NCPT and established tests significantly (p < 0.0001) predicted the University of California San Diego Performance-Based Skills Assessment and Functional Activities Questionnaire, measures of daily functioning.
The NCPT, a web-based, self-directed, computerized test, shows high concurrent validity with established tests and hence offers promise for use as a research or clinical tool in MCI. Despite limitations such as a relatively small sample, absence of control group and cross-sectional nature, these findings are consistent with the growing literature on the promise of self-directed, web-based cognitive assessments for MCI.
与已建立的纸笔测试相比,数字认知测试具有多项潜在优势,但尚未在轻度认知障碍的临床评估中得到充分评估。
神经认知表现测试(NCPT)是一种基于网络的、自我指导的、模块化电池,旨在重复评估多个认知领域。我们的目的是检查它与阿尔茨海默病评估量表认知分量表(ADAS-Cog)和简易精神状态检查(MMSE)以及轻度认知障碍(MCI)中已建立的认知和日常功能纸笔测试的关系。
我们使用 Spearman 相关、回归和主成分分析,然后进行因子分析(方差极大旋转)来检验我们的目标。
在 MCI 患者中,NCPT 综合评分与已建立测试的综合评分(r = 0.78,p < 0.0001)以及 ADAS-Cog(r = -0.55,p < 0.0001)显著相关。NCPT 和纸笔测试电池都具有相似的因子结构,包括一个具有高特征值的大“g”成分。类似测试(例如,Trails A 和 B,学习记忆测试)的相关性显著(p < 0.0001)。此外,NCPT 和已建立的测试都显著(p < 0.0001)预测了加利福尼亚大学圣地亚哥表现技能评估和功能活动问卷,这是日常功能的衡量标准。
NCPT 是一种基于网络的、自我指导的、计算机化的测试,与已建立的测试具有高度的同时有效性,因此有望成为 MCI 的研究或临床工具。尽管存在样本量相对较小、缺乏对照组和横断面性质等限制,但这些发现与自我指导、基于网络的认知评估对 MCI 的前景的不断增长的文献一致。