摘要
背景:语言和语言障碍,通常归因于词汇语义赤字,已被记录在轻度认知障碍(MCI)和阿尔茨海默病(AD)。本课题研究语言的时间组织(反映语言生产计划)与认知障碍有关的朗读,特别是MCI和MCI中的工作记忆和注意力缺陷。广告此外,还评估了从新设计的读语音任务中提取的时间特征对MCI和AD的识别能力。 方法:对16例MCI患者、18例轻度至中度AD患者和36例健康对照者(HC)进行了一系列的神经心理测试,并阅读了一组不同类型的句子。N认知负荷,通过操纵句子长度和句法复杂性来探讨。 结果:我们的结果显示轻度到中度AD与一般的言语缓慢有关,这是由于较多的言语块、沉默的停顿和干扰,以及较慢的言语和。发音率在认知语言需求较高的情况下,言语块似乎是MCI的一个信息标记,特别是与工作记忆和注意的早期缺陷有关。在……上面此外,线性判别分析还显示了使用这些语音Chara识别MCI与HC、MCI与AD和AD与HC的ROC AUCs(接收机工作特性曲线下的区域)。其性能分别为0.75、0.90和0.94。 结论:在临床和社区环境中实施基于语音的技术可以为MCI和AD的早期检测提供更多的信息。
关键词: 语言,时间,计划,工作记忆,标记,检测。
Current Alzheimer Research
Title:Changes in Speech Chunking in Reading Aloud is a Marker of Mild Cognitive Impairment and Mild-to-Moderate Alzheimer’s Disease
Volume: 15 Issue: 9
关键词: 语言,时间,计划,工作记忆,标记,检测。
摘要: Background: Speech and Language Impairments, generally attributed to lexico-semantic deficits, have been documented in Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD). This study investigates the temporal organisation of speech (reflective of speech production planning) in reading aloud in relation to cognitive impairment, particularly working memory and attention deficits in MCI and AD. The discriminative ability of temporal features extracted from a newly designed read speech task is also evaluated for the detection of MCI and AD.
Method: Sixteen patients with MCI, eighteen patients with mild-to-moderate AD and thirty-six healthy controls (HC) underwent a battery of neuropsychological tests and read a set of sentences varying in cognitive load, probed by manipulating sentence length and syntactic complexity.
Results: Our results show that Mild-to-Moderate AD is associated with a general slowness of speech, attributed to a higher number of speech chunks, silent pauses and dysfluences, and slower speech and articulation rates. Speech chunking in the context of high cognitive-linguistic demand appears to be an informative marker of MCI, specifically related to early deficits in working memory and attention. In addition, Linear Discriminant Analysis shows the ROC AUCs (Areas Under the Receiver Operating Characteristic Curves) of identifying MCI vs. HC, MCI vs. AD and AD vs. HC using these speech characteristics are 0.75, 0.90 and 0.94 respectively.
Conclusion: The implementation of connected speech-based technologies in clinical and community settings may provide additional information for the early detection of MCI and AD.
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Cite this article as:
Changes in Speech Chunking in Reading Aloud is a Marker of Mild Cognitive Impairment and Mild-to-Moderate Alzheimer’s Disease, Current Alzheimer Research 2018; 15 (9) . https://dx.doi.org/10.2174/1567205015666180404165017
DOI https://dx.doi.org/10.2174/1567205015666180404165017 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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