School of Psychology, Shenzhen University, Shenzhen, China.
Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, China.
J Alzheimers Dis. 2019;71(1):185-200. doi: 10.3233/JAD-181006.
Cognitive control for the coordination of mental operations is essential in normal cognitive functioning of daily life. Although the decline of cognitive control in older adults with mild cognitive impairment (MCI) has been demonstrated, whether this decline is a core deficit in MCI remains unclear. In this study, we employed a perceptual decision-making task to estimate the capacity of cognitive control (CCC) in older adults with MCI (n = 55) and the age-, sex-, and education-matched healthy controls (HC, n = 55) selected based on a commonly used battery of ten neuropsychological tests in five cognitive domains. We found that the CCC was significantly correlated to the neuropsychological measures of the battery. The mean CCC was significantly lower in the MCI group (3.06 bps) than in the HC group (3.59 bps) and significantly lower in the amnestic MCI subgroup (2.90 bps) than in the nonamnestic MCI subgroup (3.22 bps). In detecting and classifying MCI using machine learning, the classifier with the CCC as the input feature outperformed the overall classification with neuropsychological measures in a single cognitive domain. The classification performance was significantly increased when the CCC was included as a feature in addition to measures in a single domain, and the CCC served as a key feature in optimal classifiers with inputs from multiple domains. These results support the hypothesis that the decline in cognitive control is a core deficit in MCI and suggest that the CCC may serve as a key index in the diagnosis of MCI.
认知控制对于协调心理操作在日常生活的正常认知功能中至关重要。尽管轻度认知障碍(MCI)老年人的认知控制能力下降已经得到证实,但这种下降是否是 MCI 的核心缺陷尚不清楚。在这项研究中,我们采用了一种知觉决策任务来估计 MCI 老年人(n=55)和根据五个认知领域的十项神经心理学测试常用电池选择的年龄、性别和教育匹配的健康对照组(HC,n=55)的认知控制能力(CCC)。我们发现 CCC 与电池的神经心理学测量值显著相关。MCI 组的平均 CCC(3.06 bps)明显低于 HC 组(3.59 bps),遗忘型 MCI 亚组(2.90 bps)明显低于非遗忘型 MCI 亚组(3.22 bps)。在使用机器学习检测和分类 MCI 时,将 CCC 作为输入特征的分类器在单一认知域中的神经心理学测量值的整体分类中表现更好。当 CCC 与单一域中的测量值一起作为特征加入时,分类性能显著提高,并且 CCC 在来自多个域的输入的最佳分类器中作为关键特征。这些结果支持认知控制下降是 MCI 的核心缺陷的假设,并表明 CCC 可能是 MCI 诊断的关键指标。