4.1 Article

Neuropsychological networks in cognitively healthy older adults and dementia patients

期刊

AGING NEUROPSYCHOLOGY AND COGNITION
卷 29, 期 5, 页码 903-927

出版社

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/13825585.2021.1965951

关键词

Neuropsychology; network analysis; cognition; alzheimer's disease; graph theory

资金

  1. NIA/NIH [U01 AG016976]

向作者/读者索取更多资源

Neuropsychological tests have been commonly used to study cognitive functions. However, network analysis has been less explored in this field. This study analyzed the network structure of neuropsychological test scores in different populations and found that executive function plays a central role in cognitive abilities across all groups.
Neuropsychological tests have commonly been used to determine the organization of cognitive functions by identifying latent variables. In contrast, an approach which has seldom been employed is network analysis. We characterize the network structure of a set of representative neuropsychological test scores in cognitively healthy older adults and MCI and dementia patients using network analysis. We employed the neuropsychological battery from the National Alzheimer's Coordinating Center which included healthy controls (n = 7623), mild cognitive impairment patients (n = 5981) and dementia patients (n = 2040), defined according to the Clinical Dementia Rating. The results showed that, according to several network analysis measures, the most central cognitive function is executive function followed by attention, language, and memory. At the test level, the most central test was the Trail Making Test B, which measures cognitive flexibility. Importantly, these results and most other network measures, such as the community organization and graph representation, were similar across the three diagnostic groups. Therefore, network analysis can help to establish a ranking of cognitive functions and tests based on network centrality and suggests that this organization is preserved in dementia. Central nodes might be particularly relevant both from a theoretical and clinical point of view, as they are more associated with other nodes, and their disruption is likely to have a larger effect on the overall network than peripheral nodes. The present analysis may provide a proof of principle for the application of network analysis to cognitive data.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据