目的:神经退行性运动疾病(NMD)对患者及其亲人的生活具有破坏性影响,部分原因是神经系统异常对言语的影响,这极大地限制了功能沟通。因此,临床语音研究人员花费了数十年的时间来研究患有NMD的人群的语音特征。鉴于其对清晰度的不利影响,关节功能受损的特征尤其令人感兴趣,它们编码各种不同运动障碍的能力,以及它们作为神经退行性疾病诊断指标的潜力。本次范围界定审查的目的是确定(1)衔接的哪些组成部分(即协调,一致性,速度,精度,和重复率)在有关NMD的声学文献中表现得最多;(2)哪些声学关节特征显示出最有可能检测NMD中的语音运动功能障碍;(3)每个NMD中哪些关节成分受损最多。方法:这篇综述研究了1976年至2020年发表的文献。使用预定义的关键搜索词从六个电子数据库中识别出研究。第一个研究目标是通过研究每个关节成分的频率计数来解决的。而第二个和第三个目标是使用荟萃分析解决的.结果:来自126项研究的结果表明,人们相当重视发音精度。在荟萃分析中包含的24个特征中,将NMD人口与对照组进行比较时,元音散度/距离和停差持续时间表现出最大的影响。荟萃分析还揭示了不同疾病类型的关节表现的不同模式,提供关节损伤独特特征的证据。结论:这篇综述说明了有关NMD声关节特征的文献现状。通过强调每个关节组成部分和疾病组中的需要领域,这项工作为临床研究人员提供了基础,演讲科学家,神经学家,和计算机科学工程师可以开发研究问题,这将扩大和加深对NMD中关节损伤的理解。
Neurodegenerative motor diseases (NMDs) have devastating effects on the lives of patients and their loved ones, in part due to the impact of neurologic abnormalities on speech, which significantly limits functional communication. Clinical speech researchers have thus spent decades investigating speech features in populations suffering from NMDs. Features of impaired articulatory function are of particular interest given their detrimental impact on intelligibility, their ability to encode a variety of distinct movement disorders, and their potential as diagnostic indicators of neurodegenerative diseases. The objectives of this scoping
review were to identify (1) which components of articulation (i.e. coordination, consistency, speed, precision, and repetition rate) are the most represented in the acoustic literature on NMDs; (2) which acoustic articulatory features demonstrate the most potential for detecting speech motor dysfunction in NMDs; and (3) which articulatory components are the most impaired within each NMD.
This
review examined literature published between 1976 and 2020. Studies were identified from six electronic databases using predefined key search terms. The first research objective was addressed using a frequency count of studies investigating each articulatory component, while the second and third objectives were addressed using meta-analyses.
Findings from 126 studies revealed a considerable emphasis on articulatory precision. Of the 24 features included in the meta-analyses, vowel dispersion/distance and stop gap duration exhibited the largest effects when comparing the NMD population to controls. The meta-analyses also revealed divergent patterns of articulatory performance across disease types, providing evidence of unique profiles of articulatory impairment.
This
review illustrates the current state of the literature on acoustic articulatory features in NMDs. By highlighting the areas of need within each articulatory component and disease group, this work provides a foundation on which clinical researchers, speech scientists, neurologists, and computer science engineers can develop research questions that will both broaden and deepen the understanding of articulatory impairments in NMDs.