parkinson's disease; dysarthria; early detection; acoustic analyses; vowel production
Abstract :
[en] Objectives: Our 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 “nondysarthric.” 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 design: This is a prospective case–control study.
Methods: Sixty-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.
Results: tVSA 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. Conclusion: This acoustic study identified potential subclinical vowel-related speech biomarkers of dysarthria in speakers with Parkinson’s disease who have not been diagnosed with dysarthria.
Disciplines :
Social & behavioral sciences, psychology: Multidisciplinary, general & others
Author, co-author :
Roland, Virginie ; Université de Mons - UMONS > Faculté de Psychologie et des Sciences de l'Education > Service de Métrologie et Sciences du langage
Huet, Kathy ; Université de Mons - UMONS > Faculté de Psychologie et des Sciences de l'Education > Service de Métrologie et Sciences du langage
Harmegnies, Bernard ; Université de Mons - UMONS > Faculté de Psychologie et des Sciences de l'Educatio > Service du Doyen de la Faulté de Psychologie et des Sciences de l'Education
Piccaluga, Myriam ; Université de Mons - UMONS > Faculté de Psychologie et des Sciences de l'Educatio > Service de Métrologie et Sciences du langage
Verhaegen, Clémence ; Université de Mons - UMONS > Faculté de Psychologie et des Sciences de l'Education > Service de Métrologie et Sciences du langage
Delvaux, Véronique ; Université de Mons - UMONS > Faculté de Psychologie et des Sciences de l'Educatio > Service de Métrologie et Sciences du langage
Language :
English
Title :
Vowel production: a potential speech biomarker for early detection of dysarthria in Parkinson's Disease
Publication date :
2023
Journal title :
Frontiers in Psychology
eISSN :
1664-1078
Publisher :
Frontiers Media S.A., Switzerland
Special issue title :
Linguistic Biomarkers of Neurological, Cognitive, and Psychiatric Disorders: Verification, Analytical Validation, Clinical Validation, and Machine Learning
Volume :
14
Pages :
01-09
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
P362 - Métrologie et Sciences du langage
Research institute :
Research Institute for Language Science and Technology
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