Vitória S Fahed, Emer P Doheny, Carla Collazo, Joanna Krzysztofik, Elliot Mann, Philippa Morgan-Jones, Laura Mills, Cheney Drew, Anne E Rosser, Rebecca Cousins, Grzegorz Witkowski, Esther Cubo, Monica Busse, Madeleine M Lowery
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引用次数: 0
Abstract
Purpose: Changes in voice and speech are characteristic symptoms of Huntington's disease (HD). Objective methods for quantifying speech impairment that can be used across languages could facilitate assessment of disease progression and intervention strategies. The aim of this study was to analyze acoustic features to identify language-independent features that could be used to quantify speech dysfunction in English-, Spanish-, and Polish-speaking participants with HD.
Method: Ninety participants with HD and 83 control participants performed sustained vowel, syllable repetition, and reading passage tasks recorded with previously validated methods using mobile devices. Language-independent features that differed between HD and controls were identified. Principal component analysis (PCA) and unsupervised clustering were applied to the language-independent features of the HD data set to identify subgroups within the HD data.
Results: Forty-six language-independent acoustic features that were significantly different between control participants and participants with HD were identified. Following dimensionality reduction using PCA, four speech clusters were identified in the HD data set. Unified Huntington's Disease Rating Scale (UHDRS) total motor score, total functional capacity, and composite UHDRS were significantly different for pairwise comparisons of subgroups. The percentage of HD participants with higher dysarthria score and disease stage also increased across clusters.
Conclusion: The results support the application of acoustic features to objectively quantify speech impairment and disease severity in HD in multilanguage studies.
目的：声音和语言的变化是亨廷顿氏病（HD）的特征性症状。可用于不同语言的量化语言障碍的客观方法有助于评估疾病进展和干预策略。本研究的目的是分析声学特征，以确定与语言无关的特征，这些特征可用于量化讲英语、西班牙语和波兰语的亨廷顿病患者的言语功能障碍：方法：90 名 HD 患者和 83 名对照组患者进行了持续元音、音节重复和阅读段落任务，这些任务都是使用移动设备通过先前验证的方法录制的。确定了 HD 患者和对照组之间不同的语言无关特征。主成分分析（PCA）和无监督聚类被应用于 HD 数据集中与语言无关的特征，以确定 HD 数据中的亚组：结果：确定了 46 个与语言无关的声学特征，这些特征在对照组参与者和 HD 患者之间存在显著差异。使用 PCA 方法降维后，在 HD 数据集中识别出四个语音集群。统一亨廷顿氏病评定量表（UHDRS）运动总分、功能总分和综合 UHDRS 在亚组配对比较中存在显著差异。构音障碍得分和疾病分期较高的 HD 患者的比例在不同群组中也有所增加：结果支持在多语言研究中应用声学特征客观量化 HD 患者的语言障碍和疾病严重程度。补充材料：https://doi.org/10.23641/asha.25447171。
期刊介绍：
Mission: AJSLP publishes peer-reviewed research and other scholarly articles on all aspects of clinical practice in speech-language pathology. The journal is an international outlet for clinical research pertaining to screening, detection, diagnosis, management, and outcomes of communication and swallowing disorders across the lifespan as well as the etiologies and characteristics of these disorders. Because of its clinical orientation, the journal disseminates research findings applicable to diverse aspects of clinical practice in speech-language pathology. AJSLP seeks to advance evidence-based practice by disseminating the results of new studies as well as providing a forum for critical reviews and meta-analyses of previously published work.
Scope: The broad field of speech-language pathology, including aphasia; apraxia of speech and childhood apraxia of speech; aural rehabilitation; augmentative and alternative communication; cognitive impairment; craniofacial disorders; dysarthria; fluency disorders; language disorders in children; speech sound disorders; swallowing, dysphagia, and feeding disorders; and voice disorders.
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