The multilingual naming test in Alzheimer's disease: clues to the origin of naming impairments.
The multilingual naming test in Alzheimer's disease: clues to the origin of naming impairments.
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阿尔茨海默氏病的多语言命名测试：命名障碍起源的线索。
DOI：
10.1017/s1355617712001282
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发表时间：
2013-03
影响因子：
2.6
通讯作者：
Gollan, Tamar H.
中科院分区：
文献类型：
--
作者：
Ivanova, Iva;Salmon, David P.;Gollan, Tamar H.
关键词：
本研究探讨了阿尔茨海默病（AD）患者的图片命名能力。首先，我们评估了多语言测试的效用（MINT; Gollan等人，2011），其被设计为评估多种语言的说话者的命名技能，用于检测单语AD和遗忘型轻度认知障碍（MCI）中的命名障碍。如果MINT对AD的语言障碍敏感，那么在临床实践中使用它可能比使用专门为英语单语者设计的测试更具优势。我们发现MINT可用于单语者和双语者：MINT的32项子集最适合区分单语患者和对照组，而完整的MINT最适合评估双语程度和语言优势。双语者。然后，我们调查了命名障碍的认知机制。为此，我们探讨了哪些MINT项目特征最能预测单语患者和对照组之间的表现差异。我们发现，上下文的多样性和意象，而不是词频（也没有词的意义的数量），解释命名障碍的AD的独特的方差。这些发现表明，在AD命名障碍的语义组件（调制名称的语义丰富性和网络的大小）。
The current study explored the picture naming performance of patients with Alzheimer’s disease (AD). First, we evaluated the utility of the Multilingual Naming Test (MINT; Gollan et al., 2011), which was designed to assess naming skills in speakers of multiple languages, for detecting naming impairments in monolingual AD and amnestic mild cognitive impairment (MCI). If the MINT were sensitive to linguistic impairment in AD, using it in clinical practice might have advantages over using tests exclusively designed for English monolinguals. We found that the MINT can be used with both monolinguals and bilinguals: A 32-item subset of the MINT is best for distinguishing monolingual patients from controls, while the full MINT is best for assessing degree of bilingualism and language dominance in bilinguals. We then investigated the cognitive mechanisms underlying naming impairment in AD. To this end, we explored which MINT item characteristics best predicted performance differences between monolingual patients and controls. We found that contextual diversity and imageability, but not word frequency (nor words’ number of senses), contributed unique variance to explaining naming impairments in AD. These findings suggest a semantic component to the naming impairment in AD (modulated by names’ semantic richness and network size).