语音暂停和语音速率用于评估阿尔茨海默病和轻度认知障碍:一个元分析
Alex S Cohen1, Ross Divers1, Matthew Calamia2
1Department of Psychology, https://ror.org/05ect4e57Louisiana State University, Baton Rouge, LA, USA.
Journal of the International Neuropsychological Society : JINS
|December 11, 2025
概括
分析语音暂停提供了一种可靠的方法来评估轻度认知障碍 (MCI) 和阿尔茨海默氏症痴呆症 (AD) 患者的认知功能. 较长的休息时间与这些疾病有很大关系,有助于早期检测.
科学领域:
- 神经学 神经学
- 语音语言病理学 语言病理学
- 计算语言学 计算语言学
背景情况:
- 在轻度认知障碍 (MCI) 和阿尔茨海默氏症痴呆症 (AD) 中评估认知功能需要可靠和有效的方法.
- 自然语音分析,特别是暂停时间,显示了客观认知评估的潜力.
- 目前的方法可能缺乏早期检测和监测认知衰退所需的灵敏度.
研究的目的:
- 评估自动暂停分析在识别MCI和AD认知障碍方面的实用性.
- 为了比较停顿分析的有效性与认知评估中的语音速率测量.
- 确定语音暂停作为神经退行性疾病生物标志物的意义.
主要方法:
- 对使用自动暂停分析的研究进行了定量元分析.
- 语音率的测量被纳入用于比较分析.
- 综合了涉及MCI,AD和健康对照个体的研究数据.
主要成果:
- 与健康对照组相比,患有AD和MCI的个体表现出明显更长的语音暂停 (分别为1.20和0.62SD).
- 发言速度差异在两组之间较少 (0.66和0.27 SDs).
- 与标准化记忆任务性能相关的最实质性的影响是观察到的.
结论:
- 语音暂停分析是一种有希望的,面部有效的,可解释的方法来评估AD的认知功能.
- 自动停顿分析可以提高阿尔茨海默氏症痴呆症的评估和早期识别.
- 这种方法为认知查和监测提供了一个可扩展和具有成本效益的工具.
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