Suppr超能文献

语言任务在识别老年痴呆症方面的潜力。

The potential of language tasks for identifying senile dementia.

作者信息

Bayles K A, Boone D R

出版信息

J Speech Hear Disord. 1982 May;47(2):210-7. doi: 10.1044/jshd.4702.210.

Abstract

More than two million elderly Americans suffer from senile dementia, an age-related disease affecting memory, intellect, and communication. The purpose of this study was to explore the diagnostic efficacy of language tasks for identifying senile dementia. The performance of 35 dementia patients was compared to that of 28 normal senescents on five language tasks and certain psychological measures reputed to be sensitive to the disease such as the Block Design and Similarities subtests of the Wechsler Adult Intelligence Scale, the Mental Status Questionnaire (MSQ), and the Nonsense Syllable Learning Tests. Language tasks presented were: Story-retelling, Naming, Sentence Disambiguation, Verbal Expression, and Sentence Correction. A discriminant analysis found the Sentence Correction Task, the MSQ, and the Verbal Expression Test to best discriminate patients with senile dementia from normal aged subjects. Semantic functions were found to be more vulnerable than phonologic and syntactic to the effects of progressive cortical atrophy.

摘要

超过两百万美国老年人患有老年痴呆症,这是一种与年龄相关的疾病,会影响记忆、智力和沟通能力。本研究的目的是探讨语言任务在识别老年痴呆症方面的诊断效力。将35名痴呆症患者在五项语言任务上的表现与28名正常老年人的表现进行了比较,还比较了某些被认为对该疾病敏感的心理测量指标,如韦氏成人智力量表的积木图案和相似性分测验、精神状态问卷(MSQ)以及无意义音节学习测验。所呈现的语言任务包括:故事复述、命名、句子歧义消除、言语表达和句子纠正。判别分析发现,句子纠正任务、MSQ和言语表达测试最能区分老年痴呆症患者和正常老年人。研究发现,语义功能比语音和句法功能更容易受到进行性皮质萎缩的影响。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验