生物标志物 生物标志物
Yung-Shuan Lin1, Ya-Lun Cheng2, Chih-Ting Chang2
1Taipei Veterans General Hospital, Taipei, Taiwan.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
概括
语音流性分析,特别是停顿次数 (NP),可以帮助早期发现认知障碍. 这种非侵入性方法为传统的痴呆查提供了经济有效的替代方案.
科学领域:
- 神经学 神经学
- 语音科学 语言科学
- 认知神经科学 认知神经科学
背景情况:
- 痴呆症显著影响记忆力和语言流性.
- 早期发现认知衰退至关重要,但目前的方法是侵入性的和昂贵的.
- 语音流性分析为早期认知障碍检测提供了一个有希望的非侵入性,具有成本效益的方法.
研究的目的:
- 识别特定的语音流特征,使认知不受损 (CU) 个体与认知障碍 (CI) 个体区别开来.
- 探索这些特征的潜力,以开发早期认知衰退的自我管理查工具.
主要方法:
- 来自神经病学诊所的一组讲汉语的参与者接受了神经心理测试和音频录制的语音任务 (阅读段落,图片描述).
- 声学特征包括停顿次数 (NP),语音速率 (SR) 和持续时间 (DT) 被使用Prat.分析.
- 统计分析包括ANOVA,后勤回归和ROC曲线分析.
主要成果:
- 这项研究包括50名CU和55名CI参与者 (39名MCI,16名痴呆症).
- 停顿次数 (NP) 和语音速率 (SR) 在两个语音任务中显著与认知障碍相关 (p < 0.05).
- 在对共变量进行调整后,NP和持续时间 (DT) 仍然是认知障碍的重要预测因素 (p < 0.05).
结论:
- 语音流性特征,特别是停顿次数 (NP),与认知障碍有显著的关联.
- 这些发现强调了语音流性分析作为早期痴呆症检测的可行的非侵入性查工具的潜力.
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