口语变化可以预测孤立的快速眼动睡眠行为障碍中的转变:一个多中心研究
Martin Šubert1, Michal Novotný1, Tereza Tykalová1
1Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
Annals of neurology
|November 24, 2023
概括
语音和语言障碍预测在具有异常REM睡眠行为障碍的个体中神经退行性疾病的发展. 语言模式的自动化分析可以识别患有同核蛋白病变亚型风险较高的患者.
科学领域:
- 神经学 神经学
- 语言学的语言学.
- 睡眠医学 睡眠医学
背景情况:
- 异形眼睛快速运动 (REM) 睡眠行为障碍 (iRBD) 是同核蛋白病变的前兆阶段.
- 识别表态转换的早期标志物对于及时干预至关重要.
- 语音和语言变化可能表明潜在的神经退行.
研究的目的:
- 调查语音和语言障碍与患有iRBD的患者中发展帕金森症或痴呆症的风险之间的关联.
- 评估自动化语言分析在预测表态转换中的实用性.
主要方法:
- 180名iRBD患者的多中心队列接受了基线语音评估.
- 自动语音识别和自然语言处理分析了叙事演讲的语言和声学特征.
- 考克斯的比例危险模型评估了语言模式在5年内对表态转换的预测价值.
主要成果:
- 在156名随访患者中,42人 (26.9%) 转化为神经退行性疾病.
- 更严重的语言和声学异常预测了转换 (HR=2.35和HR=1.92,分别).
- 转换器显示内容丰富度降低,发音缓慢,停顿时间长.
结论:
- 自动化语言分析可以预测从iRBD到同核蛋白病变亚型的变现.
- 语言恶化模式可以作为神经退行早期生物标志物.
- 这种方法可以帮助分层患者进行临床试验.
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