A Comparison of Speech Features between Mild Cognitive Impairment and Healthy Aging Groups.

Dementia and neurocognitive disorders Pub Date : 2021-10-01 Epub Date: 2021-09-27 DOI:10.12779/dnd.2021.20.4.52
Ko Woon Kim, Seung-Hoon Na, Young-Chul Chung, Byoung-Soo Shin
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引用次数: 3

Abstract

Background and purpose: Language dysfunction is a symptom common to patients with Alzheimer's disease (AD). Speech feature analysis may be a patient-friendly screening test for early-stage AD. We aimed to investigate the speech features of amnestic mild cognitive impairment (aMCI) compared to normal controls (NCs).

Methods: Spoken responses to test questions were recorded with a microphone placed 15 cm in front of each participant. Speech samples delivered in response to four spoken test prompts (free speech test, Mini-Mental State Examination [MMSE], picture description test, and sentence repetition test) were obtained from 98 patients with aMCI and 139 NCs. Each recording was transcribed, with speech features noted. The frequency of the ten speech features assessed was evaluated to compare speech abilities between the test groups.

Results: Among the ten speech features, the frequency of pauses (p=0.001) and mumbles (p=0.001) were significantly higher in patients with aMCI than in NCs. Moreover, MMSE score was found to negatively correlate with the frequency of pauses (r=-0.441, p<0.001) and mumbles (r=-0.341, p<0.001).

Conclusions: Frequent pauses and mumbles reflect cognitive decline in aMCI patients in episodic and semantic memory tests. Speech feature analysis may prove to be a speech-based biomarker for screening early-stage cognitive impairment.

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轻度认知障碍与健康老年人言语特征比较。
背景与目的:语言功能障碍是阿尔茨海默病(AD)患者的常见症状。语音特征分析可能是早期AD患者友好的筛查试验。我们的目的是研究遗忘性轻度认知障碍(aMCI)与正常对照(nc)的语言特征。方法:用放置在每位参与者前方15厘米处的麦克风记录对测试问题的口头回答。本文收集了98例aMCI患者和139例nc患者在4个口语测试提示(自由言语测试、迷你精神状态检查、图片描述测试和句子重复测试)下的语音样本。每段录音都经过转录,并注明语音特征。对被评估的十个语音特征的频率进行评估,以比较测试组之间的语音能力。结果:在10个言语特征中,aMCI患者的停顿频率(p=0.001)和喃喃自语频率(p=0.001)显著高于nc患者。此外,MMSE评分与停顿频率(r=-0.441)、口齿不清(r=-0.341)呈负相关。结论:频繁的停顿和口齿不清反映了aMCI患者在情景和语义记忆测试中的认知下降。语音特征分析可能被证明是一种基于语音的生物标志物,用于筛查早期认知障碍。
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