دورية أكاديمية

Vowel production: a potential speech biomarker for early detection of dysarthria in Parkinson’s disease

التفاصيل البيبلوغرافية
العنوان: Vowel production: a potential speech biomarker for early detection of dysarthria in Parkinson’s disease
المؤلفون: Virginie Roland, Kathy Huet, Bernard Harmegnies, Myriam Piccaluga, Clémence Verhaegen, Véronique Delvaux
المصدر: Frontiers in Psychology, Vol 14 (2023)
بيانات النشر: Frontiers Media S.A., 2023.
سنة النشر: 2023
المجموعة: LCC:Psychology
مصطلحات موضوعية: Parkinson’s disease, dysarthria, early detection, acoustic analyses, vowel production, Psychology, BF1-990
الوصف: ObjectivesOur aim is to detect early, subclinical speech biomarkers of dysarthria in Parkinson’s disease (PD), i.e., systematic atypicalities in speech that remain subtle, are not easily detectible by the clinician, so that the patient is labeled “non-dysarthric.” Based on promising exploratory work, we examine here whether vowel articulation, as assessed by three acoustic metrics, can be used as early indicator of speech difficulties associated with Parkinson’s disease.Study designThis is a prospective case–control study.MethodsSixty-three individuals with PD and 35 without PD (healthy controls-HC) participated in this study. Out of 63 PD patients, 43 had been diagnosed with dysarthria (DPD) and 20 had not (NDPD). Sustained vowels were recorded for each speaker and formant frequencies were measured. The analyses focus on three acoustic metrics: individual vowel triangle areas (tVSA), vowel articulation index (VAI) and the Phi index.ResultstVSA were found to be significantly smaller for DPD speakers than for HC. The VAI showed significant differences between these two groups, indicating greater centralization and lower vowel contrasts in the DPD speakers with dysarhtria. In addition, DPD and NDPD speakers had lower Phi values, indicating a lower organization of their vowel system compared to the HC. Results also showed that the VAI index was the most efficient to distinguish between DPD and NDPD whereas the Phi index was the best acoustic metric to discriminate NDPD and HC.ConclusionThis acoustic study identified potential subclinical vowel-related speech biomarkers of dysarthria in speakers with Parkinson’s disease who have not been diagnosed with dysarthria.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1664-1078
Relation: https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1129830/full; https://doaj.org/toc/1664-1078
DOI: 10.3389/fpsyg.2023.1129830
URL الوصول: https://doaj.org/article/847428ef87854918848998d73a5a2f73
رقم الأكسشن: edsdoj.847428ef87854918848998d73a5a2f73
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16641078
DOI:10.3389/fpsyg.2023.1129830