Cao Fangyuan, Vogel Adam P, Gharahkhani Puya, Renteria Miguel E
Brain & Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
NPJ Parkinsons Dis. 2025 Mar 24;11(1):57. doi: 10.1038/s41531-025-00913-4.
Parkinson's disease (PD), a multifaceted neurodegenerative disorder, can manifest as an array of motor and non-motor symptoms. Among these, speech and language impairments are particularly prevalent, often preceding motor dysfunctions. Emerging research indicates that these impairments may serve as early disease indicators. In this narrative review, we synthesised current findings on the potential of speech and language symptoms in PD identification and progression monitoring. Our review highlights convergent, albeit preliminary, lines of evidence supporting the value of speech-related features in detecting early or prodromal PD, even across language groups, especially with sophisticated analytical techniques. Distinct speech patterns in PD subtypes and other neurological disorders may assist in differential diagnosis and inform targeted management efforts. These features also evolve over the disease course and could effectively be utilised for disease tracking and guide management plan modifications. Advances in digital voice processing allow cost-effective, remote and scalable monitoring for larger populations.
帕金森病（PD）是一种多方面的神经退行性疾病，可表现为一系列运动和非运动症状。其中，言语和语言障碍尤为普遍，常常先于运动功能障碍出现。新出现的研究表明，这些障碍可能作为疾病的早期指标。在这篇叙述性综述中，我们综合了关于言语和语言症状在帕金森病识别和病情监测中的潜力的当前研究结果。我们的综述强调了尽管是初步的，但相互一致的证据表明，即使在不同语言群体中，特别是通过复杂的分析技术，与言语相关的特征在检测早期或前驱帕金森病方面具有价值。帕金森病亚型和其他神经系统疾病中的独特言语模式可能有助于鉴别诊断，并为有针对性的管理工作提供信息。这些特征也会在疾病过程中演变，并可有效地用于疾病跟踪和指导管理计划的调整。数字语音处理技术的进步使得对更大规模人群进行经济高效、远程且可扩展的监测成为可能。
