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首页> 外文期刊>Journal of speech, language, and hearing research: JSLHR >Automated Acoustic Analysis of Oral Diadochokinesis to Assess Bulbar Motor Involvement in Amyotrophic Lateral Sclerosis
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Automated Acoustic Analysis of Oral Diadochokinesis to Assess Bulbar Motor Involvement in Amyotrophic Lateral Sclerosis

机译：口腔粘液的自动声学分析评估肌营养侧面硬化症的凸轮电机参与

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Purpose: The purpose of this article was to validate a novel acoustic analysis of oral diadochokinesis (DDK) in assessing bulbar motor involvement in amyotrophic lateral sclerosis (ALS). Method: An automated acoustic DDK analysis was developed, which filtered out the voice features and extracted the envelope of the acoustic waveform reflecting the temporal pattern of syllable repetitions during an oral DDK task (i.e., repetitions of/ta/ at the maximum rate on 1 breath). Cycle-to-cycle temporal variability (cTV) of envelope fluctuations and syllable repetition rate (sylRate) were derived from the envelope and validated against 2 kinematic measures, which are tongue movement jitter (movJitter) and alternating tongue movement rate (AMR) during the DDK task, in 16 individuals with bulbar ALS and 18 healthy controls. After the validation, cTV, sylRate, movJitter, and AMR, along with an established clinical speech measure, that is, speaking rate (SR), were compared in their ability to (a) differentiate individuals with ALS from healthy controls and (b) detect early-stage bulbar declines in ALS. Results: cTV and sylRate were significantly correlated with movJitter and AMR, respectively, across individuals with ALS and healthy controls, confirming the validity of the acoustic DDK analysis in extracting the temporal DDK pattern. Among all the acoustic and kinematic DDK measures, cTV showed the highest diagnostic accuracy (i.e., 0.87) with 80% sensitivity and 94% specificity in differentiating individuals with ALS from healthy controls, which outperformed the SR measure. Moreover, cTV showed a large increase during the early disease stage, which preceded the decline of SR. Conclusions: This study provided preliminary validation of a novel automated acoustic DDK analysis in extracting a useful measure, namely, cTV, for early detection of bulbar ALS. This analysis overcame a major barrier in the existing acoustic DDK analysis, which is continuous voicing between syllables that interferes with syllable structures. This approach has potential clinical applications as a novel bulbar assessment.
机译：目的：本文的目的是验证口腔粘液中的新型声学分析（DDK）评估肌萎缩侧面硬化症（ALS）的底板电机参与。方法：开发了一种自动声学DDK分析，该分析过滤出语音特征，并提取反映在口头DDK任务期间的音节重复的时间模式的声波形的包络（即，1的重复/以最大速率呼吸）。信封波动和音节重复率（SYLRATE）的循环到周期时间变异性（CTV）源自信封，并验证了2个运动措施，这些措施是舌头运动抖动（MOVJITTER）和交替的舌头运动率（AMR） DDK任务，在16个具有Bulbar Als和18个健康控制的人中。在验证后，CTV，Sylrate，Movjitter和AMR以及既定的临床言标，即说话率（SR），以其（a）与健康对照和（b）区分中的个体检测ALS中的早期底盘拒绝。结果：CTV和Sylate分别与具有ALS和健康对照的Movjitter和AMR显着相关，确认声学DDK分析提取时间DDK模式的有效性。在所有声学和运动学DDK措施中，CTV显示出最高的诊断精度（即，0.87），患有80％的敏感性和94％的特异性，在与健康对照中的患者中分化为患有ALS的个体，这优于SR测量。此外，CTV在早期疾病期间表现出大幅增加，其前后的SR下降。结论：本研究规定了提取有用措施，即CTV的新型自动声学DDK分析的初步验证，用于早期检测泡杆ALS。该分析估计了现有的声学DDK分析中的一个主要障碍，这在干扰音节结构的音节之间是连续的声学。这种方法具有潜在的临床应用，作为新型挥发栏评估。

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