在演讲任务中获得特定语境的词汇和语义信息的访问区分了隐性失言症,轻度认知障碍和认知健康的成年人
Brielle C Stark1,2, Sarah Grace Dalton3, Alyssa M Lanzi4,5
1Department of Speech, Language and Hearing Sciences, Indiana University Bloomington, Bloomington, IN, United States.
Frontiers in human neuroscience
|February 6, 2025
概括
核心词汇分析有效地识别了成年人的轻度语言障碍,潜在的失言症和轻度认知障碍 (MCI). 与其他话语任务相比,灰娘的故事任务在检测这些微妙的语言差异方面是最敏感的.
科学领域:
- 神经科学是一个神经科学.
- 语言学的语言学.
- 语音和语言病理学 语言病理学
背景情况:
- 神经性沟通障碍中的轻度语言障碍往往没有被传统措施检测出来.
- 这些未被发现的赤字可能导致无法管理的日常活动和参与限制.
- 核心词汇分析为敏感检测提供了一个潜在的指标.
研究的目的:
- 评估核心词汇分析变量,以区分潜在的失语症和轻度认知障碍 (MCI) 与认知健康的成年人 (CHA).
- 用核心词汇指标来对比三个话语任务 (三明治程序,猫救援,灰娘故事) 在区分这些群体时的敏感性.
主要方法:
- 分析了来自TalkBank的连接语音数据,涉及三组参与者:MCI (n=30),潜在失语 (n=29) 和CHA (n=56).
- 测量的词汇变量包括:总核心词汇项目,核心词汇项的比例,以及每秒核心词汇项的速度.
- 统计分析包括ANOVA和线性差异分析与交叉验证.
主要成果:
- 在讨论任务中,在各组之间发现了显著的差异.
- 灰娘任务显示,与CHA相比,隐性失言症和MCI中的核心词汇项目较少.
- 核心词汇率区分了MCI的隐性失语,而三明治任务区分了CHA的隐性失语.
结论:
- 灰娘的故事任务比图片描述更敏感,用于检测MCI和潜在失语症的微妙词汇和语义变化.
- 核心词汇分析是识别轻度认知和/或语言缺陷的个体语言差异的敏感指标.
- 这些发现支持对MCI和潜在失语症患者进行语音/语言和认知治疗的需求.
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