Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic.
Mov Disord. 2021 Apr;36(4):803-814. doi: 10.1002/mds.28465. Epub 2020 Dec 29.
Most patients with movement disorders have speech impairments resulting from sensorimotor abnormalities that affect phonatory, articulatory, and prosodic speech subsystems. There is widespread cross-discipline use of speech recordings for diagnostic and research purposes, despite which there are no specific guidelines for a standardized method. This review aims to combine the specific clinical presentations of patients with movement disorders, existing acoustic assessment protocols, and technological advances in capturing speech to provide a basis for future research in this field and to improve the consistency of clinical assessments. We considered 3 areas: the recording environment (room, seating, background noise), the recording process (instrumentation, vocal tasks, elicitation of speech samples), and the acoustic outcome data. Four vocal tasks, namely, sustained vowel, sequential and alternating motion rates, reading passage, and monologues, are integral aspects of motor speech assessment. Fourteen acoustic vocal speech features, including their hypothesized pathomechanisms with regard to typical occurrences in hypokinetic or hyperkinetic dysarthria, are hereby recommended for quantitative exploratory analysis. Using these acoustic features and experimental speech data, we demonstrated that the hyperkinetic dysarthria group had more affected speech dimensions compared with the healthy controls than had the hypokinetic speakers. Several contrasting speech patterns between both dysarthrias were also found. This article is the first attempt to provide initial recommendations for a standardized way of recording the voice and speech of patients with hypokinetic or hyperkinetic dysarthria; thus allowing clinicians and researchers to reliably collect, acoustically analyze, and compare vocal data across different centers and patient cohorts. © 2020 International Parkinson and Movement Disorder Society.
大多数运动障碍患者都有言语障碍,这是由于影响发声、发音和韵律言语子系统的感觉运动异常所致。尽管没有用于标准化方法的具体准则,但在跨学科领域中广泛使用言语记录进行诊断和研究。本综述旨在结合运动障碍患者的特定临床表现、现有的声学评估方案以及捕捉言语的技术进步,为该领域的未来研究提供基础,并提高临床评估的一致性。我们考虑了 3 个方面:记录环境(房间、座位、背景噪音)、记录过程(仪器、发声任务、言语样本的引出)和声学结果数据。四个发声任务,即持续元音、连续和交替运动率、朗读短文和独白,是运动言语评估的重要组成部分。在此推荐 14 个声学语音特征及其假设的病理机制,以进行定量探索性分析。使用这些声学特征和实验语音数据,我们表明,与健康对照组相比,快肌型和慢肌型运动障碍患者的发音更受影响。还发现了两种运动障碍之间的几种对比性言语模式。本文首次尝试为记录慢肌型和快肌型运动障碍患者的语音提供一种标准化方法的初步建议;从而使临床医生和研究人员能够在不同中心和患者群体中可靠地收集、声学分析和比较语音数据。 © 2020 国际帕金森和运动障碍协会。