安宁：中国老年学和老年医学学会智慧医养分会常务理事，合肥工业大学教授。

标题：Exploring the Hierarchical Influence of Cognitive Functions forAlzheimer Disease

摘要：Background: Although some neuropsychological (NP) tests are considered more central for the diagnosis of Alzheimer disease (AD), there is a lack of understanding about the interaction between different cognitive tests. Objective: This study aimed to demonstrate a global view of hierarchical probabilistic dependencies between NP tests and the likelihood of cognitive impairment to assist physicians in recognizing AD precursors. Methods: Our study included 2091 participants from the Framingham Heart Study. These participants had undergone a variety of NP tests, including Wechsler Memory Scale, Wechsler Adult Intelligence Scale, and Boston Naming Test. Heterogeneous cognitive Bayesian networks were developed to understand the relationship between NP tests and the cognitive status. The performance of probabilistic inference was evaluated by the 10-fold cross validation. Results: A total of 4512 NP tests were used to build the Bayesian network for the dementia diagnosis. The network demonstrated conditional dependency between different cognitive functions that precede the development of dementia. The prediction model reached an accuracy of 82.24%, with sensitivity of 63.98% and specificity of 92.74%. This probabilistic diagnostic system can also be applied to participants that exhibit more heterogeneous profiles or with missing responses for some NP tests. Conclusions: We developed a probabilistic dependency network for AD diagnosis from 11 NP tests. Our study revealed important psychological functional segregations and precursor evidence of AD development and heterogeneity.

关键词：Alzheimer disease; neuropsychological test; stratification; Bayesian network; clustering

下载声明：为了保护原出版物的知识产权，此处经作者本人同意，给出文章下载链接。

下载链接：下载  

链接: https://pan.baidu.com/s/1cddfbFC9I4Om90DJSw-Z9A 提取码: rkfm 复制这段内容后打开百度网盘手机App，操作更方便哦

或者通过微信扫一扫获取文章：