Department of Neurology, School of Medicine, University of California, Davis, CA, USA.
Brain. 2010 Aug;133(Pt 8):2196-209. doi: 10.1093/brain/awq154. Epub 2010 Jun 30.
In later adulthood brain pathology becomes common and trajectories of cognitive change are heterogeneous. Among the multiple determinants of late-life cognitive course, cognitive reserve has been proposed as an important factor that modifies or buffers the impact of brain pathology on cognitive function. This article presents and investigates a novel method for measuring and investigating such factors. The core concept is that in a population where pathology is common and variably present, 'reserve' may be defined as the difference between the cognitive performance predicted by an individual's level of pathology and that individual's actual performance. By this definition, people whose measured cognitive performance is better than predicted by pathology have high reserve, whereas those who perform worse than predicted have low reserve. To test this hypothesis, we applied a latent variable model to data from a diverse ageing cohort and decomposed the variance in a measure of episodic memory into three components, one predicted by demographics, one predicted by pathology as measured by structural MRI and a 'residual' or 'reserve' term that included all remaining variance. To investigate the plausibility of this approach, we then tested the residual component as an operational measure of reserve. Specific predictions about the effects of this putative reserve measure were generated from a general conceptual model of reserve. Each was borne from the results. The results show that the current level of reserve, as measured by this decomposition approach, modifies rates of conversion from mild cognitive impairment to dementia, modifies rates of longitudinal decline in executive function and, most importantly, attenuates the effect of brain atrophy on cognitive decline such that atrophy is more strongly associated with cognitive decline in subjects with low reserve than in those with high reserve. Decomposing the variance in cognitive function scores offers a promising new approach to the measure and study of cognitive reserve.
在成年后期,大脑病理变得常见,认知变化的轨迹也各不相同。在多种决定晚年认知过程的因素中,认知储备被认为是一个重要的因素,它可以改变或缓冲大脑病理对认知功能的影响。本文提出并研究了一种测量和研究此类因素的新方法。其核心概念是,在一个病理常见且存在差异的人群中,“储备”可以定义为个体的病理水平所预测的认知表现与个体的实际表现之间的差异。根据这个定义,那些测量到的认知表现好于病理预测的人具有高储备,而那些表现差于预测的人则具有低储备。为了检验这一假设,我们将潜在变量模型应用于一个多样化的老年队列数据中,并将情景记忆的测量结果的方差分解为三个组成部分,一个由人口统计学因素预测,一个由结构 MRI 测量的病理预测,还有一个“剩余”或“储备”部分,包含了所有剩余的方差。为了研究这种方法的可行性,我们随后将剩余部分作为储备的操作测量进行了测试。关于这种潜在储备测量的影响的具体预测是根据储备的一般概念模型生成的。每个预测都是基于结果的。结果表明,目前通过这种分解方法测量的储备水平,会改变从轻度认知障碍到痴呆的转化率,会改变执行功能的纵向下降速度,最重要的是,会减弱大脑萎缩对认知下降的影响,以至于在储备较低的受试者中,大脑萎缩与认知下降的相关性比在储备较高的受试者中更强。对认知功能评分的方差进行分解,为认知储备的测量和研究提供了一种有前途的新方法。