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一个语义关联模型用于对帕金森病患者执行的语音和语义口语流利任务的自动集群分析:前性多中心研究

Tom Hähnel¹, Tim Feige², Julia Kunze¹

¹Department of Neurology University Hospital and Faculty of Medicine Carl Gustav Carus Technische Universität Dresden Dresden Germany.

JMIR neurotechnology

|December 4, 2025

概括

这项研究引入了一种自动化方法,用于分析口头流利任务 (VFT) 中的词汇集群,为帕金森病患者提供对认知功能的客观见解. 该方法可以进行跨语言比较,并识别语音VFT中的语义集群,增强诊断能力.

科学领域:

神经科学是一个神经科学.
计算语言学计算语言学
认知心理学认知心理学

背景情况:

语言流利性任务 (VFTs) 评估神经退行性疾病中的认知缺陷.
传统的VFT分析依赖于手动的单词列表,缺乏标准化和语言特异性.
识别语音VFT中的语义集群在当前的方法中是不可能的.

研究的目的:

开发一种自动化方法来分析VFT中的语义相关的词汇集群.
探索帕金森病 (PD) 中通过这种自动化分析评估的认知领域.

主要方法:

使用在维基百科文本上训练的神经网络开发了一个语义相关性模型.
应用该模型来分析PD患者的语义和语音VFT.
将自动化集群特征与传统方法和神经心理测试进行比较.

主要成果:

自动语义VFT集群分析与传统方法相关性良好.
两种VFT类型的自动分析与整体认知,执行功能和语言能力相关联.
该方法成功地识别了语音VFT中的语义集群.

结论:

使用语义相关性模型进行自动化的VFT集群分析是可行的和标准化的.
这种方法克服了手册词汇列表的局限性,允许客观的跨语言实现.
该方法为语音VFT提供了新的见解,并为PD的认知功能提供了可访问的数字生物标志物.

关键词:

帕金森病是帕金森病的一种疾病.帕金森病痴呆症帕金森病痴呆症认知认知认知执行职能执行职能是指执行职能.语言功能语言功能语言功能轻度的认知障碍轻度的认知障碍语义集群是一个语义集群.语义上的相关性是语义上的相关性.语言流性的任务.

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