Serial Reaction Time Task Performance in Older Adults with Neuropsychologically Defined Mild Cognitive Impairment.
Serial Reaction Time Task Performance in Older Adults with Neuropsychologically Defined Mild Cognitive Impairment.
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DOI：
10.3233/jad-191323
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发表时间：
2020
影响因子：
4
通讯作者：
Salat, David H.
中科院分区：
文献类型：
--
作者：
Hong, Yue;Alvarado, Rachel L.;Jog, Amod;Greve, Douglas N.;Salat, David H.
研究发现，轻度认知障碍（MCI）患者在初级外显记忆领域之外表现出一系列缺陷，但反应速度和内隐学习在MCI老年人中的作用尚未确定。目前的研究旨在探讨和文件的反应速度和内隐学习的老年人与神经心理学定义的MCI使用一个简单的系列反应（SRT）任务。此外，本研究的目的是探索一种新的利用简单的认知任务的可行性，使用机器学习程序作为概念验证。参与者是22名认知健康的老年人和20名通过综合神经心理学评估证实患有MCI的老年人。本研究采用双样本t检验、多元回归和混合效应模型考察了被试在SRT任务上的反应速度和内隐学习的组间差异。我们还通过随机森林分类探索了SRT特征分析的潜在效用。在控制人口统计学变量的情况下，MCI组与认知健康的志愿者相比，总体反应时间较慢，错误率较高。两组均表现出显著的简单运动学习和内隐学习。两组之间的学习模式没有统计学差异。随机森林分类的总体准确率为80.9%。与认知健康的志愿者相比，MCI患者表现出更慢的反应时间和更高的错误率，但表现出很大程度上保留了运动学习和内隐序列学习。随机森林分类的初步结果，从SRT性能的功能支持在这方面的进一步研究。
Studies have found that individuals with mild cognitive impairment (MCI) exhibit a range of deficits outside the realm of primary explicit memory, yet the role of response speed and implicit learning in older adults with MCI have not been established. The current study aims to explore and document response speed and implicit learning in older adults with neuropsychologically defined MCI using a simple serial reaction (SRT) task. In addition, the study aims to explore the feasibility of a novel utilization of the simple cognitive task using machine learning procedures as a proof of concept. Participants were 22 cognitively healthy older adults and 20 older adults with MCI confirmed through comprehensive neuropsychological evaluation. Two-sample t-test, multivariate regression, and mixed-effect models were used to investigate group difference in response speed and implicit learning on the SRT task. We also explored the potential utility of SRT feature analysis through random forest classification. With demographic variables controlled, MCI group showed overall slower reaction time and higher error rate compared to the cognitively healthy volunteers. Both groups showed significant simple motor learning and implicit learning. The learning patterns were not statistically different between the two groups. Random forest classification achieved overall accuracy of 80.9%. Individuals with MCI demonstrated slower reaction time and higher error rate compared to cognitively healthy volunteers but demonstrated largely preserved motor learning and implicit sequence learning. Preliminary results from random forest classification using features from SRT performance supported further research in this area.