语音流中的语音集群特征:一个潜在的标志物,可以区分主观认知衰退和轻度认知障碍
Nikita Cherkasov1,2, Ekaterina Rodionova1, Arina Zvereva1
1Center for Language and Brain, HSE University, Moscow, Russia.
Applied neuropsychology. Adult
|February 9, 2026
概括
在口头流利任务中分析语言模式,如集群,可以改善老年人主观认知衰退和轻度认知障碍之间的区别. 这种方法提供了对早期认知变化的更敏感的评估.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 语言学的语言学.
背景情况:
- 语言流 (VF) 任务是评估老年人的认知能力的标准.
- 目前的评分方法主要集中在产生的单词总数上.
- 在主观认知衰退 (SCD) 和轻度认知障碍 (MCI) 之间区分是临床上显著但具有挑战性的.
研究的目的:
- 调查VF反应的语言特征,特别是聚类,是否可以增强SCD和MCI之间的差异化.
- 确定是否结合聚类指标可以改善认知得分和临床组分类的预测.
主要方法:
- 对127名老年人 (SCD或MCI) 的426个VF反应的回顾性分析.
- 混合效应模型被用来评估总词数与集群特征的预测值.
- 分析根据年龄,性别,教育程度和任务类型进行了调整.
主要成果:
- 在语义 (SVF) 和语音 (PVF) VF中,较小的平均语音集群大小与较低的MoCA分数有关.
- 包括集群特征在内显著提高了SVF在区分SCD和MCI中的分类准确性,仅使用单词数的模型表现优于SVF.
结论:
- 在VF任务中的语音聚类反映了认知功能,对早期认知变化敏感.
- 对VF表现的语言分析捕捉了传统评分错过的微妙认知变化.
- 这种方法可以提高早期发现和痴呆症风险概况.
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