大量多系统缩患者样本中的言语障碍:性别和语言的影响
Tereza Tykalova1, Jan Rusz2, Jiri Klempir3
1Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 160 00, Praha 6, Czech Republic. tykalova.tereza@gmail.com.
数字语音生物标志物显示多系统缩 (MSA) 检测的高精度,语言影响最小. 虽然在语言障碍中存在一些性别差异,但这些生物标志物在临床试验中在不同人群中保持一致.
科学领域:
- 神经学 神经学
- 语音科学 语言科学
- 生物标志物研究 生物标志物研究
背景情况:
- 数字语音生物标志物对于神经退行性疾病的临床试验至关重要,例如多重系统缩 (MSA).
- 了解语言和性别对语音模式的影响对于生物标志物的可转移性至关重要.
- 以前的研究还没有充分探索MSA患者的性别和语言特异性声学差异.
研究的目的:
- 研究多系统缩 (MSA) 患者声学语音特征的性别和语言相关差异.
- 评估MSA跨性别和语言的基于语音的数字生物标志物的诊断潜力和一致性.
主要方法:
- 在42名男性和40名女性MSA患者和82名健康对照中对12个语音维度进行定量声学分析.
- 从捷克和意大利的中心招募了参与者来评估语言的影响.
- 统计分析比较了MSA患者和对照组,并分析了性别特异性差异.
主要成果:
- 与对照组相比,MSA患者表现出声音质量,声震,发音和表情的显著损害 (p < 0.001).
- 女性MSA患者表现出较差的语音质量和更多的声震;男性MSA患者的二动力率较慢,声音的变化更大.
- 语言对大多数声学参数的影响最小,表明了良好的跨语言一致性.
结论:
- 基于语音的数字生物标志物显示了MSA的高歧视力.
- 这些生物标志物保持跨性别和语言的一致性,支持它们在各种临床试验环境中使用.
- 语音声学分析提供了一种可靠的方法来识别和监测MSA.
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