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利用网络科学理解衰老词汇:将个体经验、语义网络和认知表现联系起来。

Using Network Science to Understand the Aging Lexicon: Linking Individuals' Experience, Semantic Networks, and Cognitive Performance.

机构信息

Faculty of Psychology, University of Basel.

Center for Adaptive Rationality, Max Planck Institute for Human Development.

出版信息

Top Cogn Sci. 2022 Jan;14(1):93-110. doi: 10.1111/tops.12586. Epub 2022 Jan 18.

Abstract

People undergo many idiosyncratic experiences throughout their lives that may contribute to individual differences in the size and structure of their knowledge representations. Ultimately, these can have important implications for individuals' cognitive performance. We review evidence that suggests a relationship between individual experiences, the size and structure of semantic representations, as well as individual and age differences in cognitive performance. We conclude that the extent to which experience-dependent changes in semantic representations contribute to individual differences in cognitive aging remains unclear. To help fill this gap, we outline an empirical agenda that utilizes network analysis and involves the concurrent assessment of large-scale semantic networks and cognitive performance in younger and older adults. We present preliminary data to establish the feasibility and limitations of such empirical, network-analytical approaches.

摘要

人们在一生中会经历许多独特的体验,这些体验可能会导致他们的知识表示的大小和结构存在个体差异。最终,这些差异可能对个体的认知表现产生重要影响。我们回顾了一些证据,这些证据表明个体经历、语义表示的大小和结构,以及个体和年龄差异与认知表现之间存在关系。我们得出结论,经验依赖性的语义表示变化对认知老化的个体差异的贡献程度尚不清楚。为了帮助填补这一空白,我们概述了一个实证议程,该议程利用网络分析,并涉及对年轻和老年成年人的大规模语义网络和认知表现的同时评估。我们提供了初步数据,以确定这种实证、网络分析方法的可行性和局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd07/9303352/179b583fae43/TOPS-14-93-g002.jpg

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