神经退行性疾病中的语言变化与临床症状有关
Melisa Gumus1,2, Morgan Koo3,4, Christa M Studzinski5
1Winterlight Labs, Toronto, ON, Canada.
Frontiers in neurology
|April 9, 2024
概括
语音分析揭示了神经退行性疾病 (如阿尔茨海默氏症) 的语言变化. 这些语言变化与认知能力下降相关,这表明语言是早期检测和监测的敏感标记.
科学领域:
- 神经学 神经学
- 语音语言病理学 语音语言病理学
- 计算语言学 计算语言学
背景情况:
- 语音变化可能有助于识别和监测神经退行性疾病.
- 在各种神经退行性疾病中,语音变化与临床症状之间的联系存在有限的研究.
研究的目的:
- 研究各种神经退行性疾病患者的语音特征和临床评估之间的关系.
- 确定语音分析是否可以作为认知障碍的敏感措施.
主要方法:
- 分析了109名患有阿尔茨海默病,前性痴呆症和血管认知障碍的患者的语音录音.
- 利用Winterlight语音分析平台提取超过500个声学和语言语音特征.
- 与临床评估相关的语音特征:MMSE,DRS,WAB和BNT.
主要成果:
- 在诊断的语言特征 (词汇,语法) 和临床评估之间发现了显著的相关性.
- 较低的MMSE/DRS分数与较短的单词和较少的置词短语有关.
- 损坏的WAB/BNT分数与减少名词使用和增加代词使用相关.
- 与健康成年人相比,患者表现出较短的言语持续时间和更多的暂停.
结论:
- 在患有神经退行性疾病的患者中,可以检测到语言语音变化,包括更简单的词汇和语法.
- 这些语言变化与认知衰退相关,表明语言作为敏感生物标志物的潜力.
- 语音分析显示,它有望检测神经退行性疾病的范围内的认知障碍.
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