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The Semantic Network and Functional Compromise.

机译:语义网络和功能妥协。

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摘要

Semantic network breakdown has been posited to be related to the progressive declines observed in Alzheimer's disease (AD) and its prodromes. While the relationship between semantic memory and AD has been established, the relationship between semantic memory and instrumental activities of daily living (IADL) is less clear. The current study was designed to elucidate this relationship by examining a semantic clustering index on the California Verbal Learning Test, Second Edition (CVLT-II) and the measure's ability to predict functional compromise of healthy older participants and those with Alzheimer's disease or Mild Cognitive Impairment (MCI) on two measures of IADLs---the Everyday Cognition Scale (ECog) and the Functional Activities Questionnaire (FAQ). The results revealed that semantic clustering performance differentiated between AD, amnestic MCI, and normal control participants. The FAQ distinguished between AD and non-AD participants, while the ECog differentiated between AD, amnestic MCI, and normal controls. When considering all diagnostic groups, semantic clustering was predictive of instrumental ADL functioning as measured by the ECog and FAQ, but the addition of an executive functioning covariate (Trails B) significantly improved the predictive models. In excluding the AD group from the analysis, semantic clustering was predictive of instrumental ADL functioning as measured by the FAQ beyond that of Trails B. In excluding the AD group, semantic clustering was not predictive of instrumental ADL functioning as measured by the ECog.
机译:据推测,语义网络故障与在阿尔茨海默氏病(AD)及其病原体中观察到的进行性下降有关。虽然已经建立了语义记忆与AD之间的关系,但语义记忆与日常生活的工具活动(IADL)之间的关系尚不清楚。本研究旨在通过检查加利福尼亚语言学习测试第二版(CVLT-II)上的语义聚类指数以及该方法预测健康的老年参与者以及患有阿尔茨海默氏病或​​轻度认知障碍者的功能受损的能力来阐明这种关系(MCI)评估IADL的两项指标-日常认知量表(ECog)和功能活动问卷(FAQ)。结果表明,语义聚类性能在AD,记忆MCI和正常控制参与者之间有所区别。常见问题解答区分AD和非AD参与者,而ECog区分AD,记忆消除MCI和正常对照。当考虑所有诊断组时,通过ECog和FAQ进行测量,语义聚类可以预测工具性ADL功能,但是添加执行功能协变量(Trails B)可以显着改善预测模型。在分析中排除AD组时,通过FAQ进行的语义聚类可以预测工具性ADL功能,而不仅仅是TrailsB。通过ADog来排除语义组时,语义聚类不能预测工具性ADL功能。

著录项

  • 作者

    Litvin, Pavel Y.;

  • 作者单位

    Fielding Graduate University.;

  • 授予单位 Fielding Graduate University.;
  • 学科 Aging.;Neurosciences.;Psychology.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 92 p.
  • 总页数 92
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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