Associations of Voice Metrics with Postural Function in Parkinson’s Disease
Background: This study aimed to explore the potential associations between voice metrics of patients with PD and their motor symptoms. Methods: Motor and vocal data including the Unified Parkinson’s Disease Rating Scale part III (UPDRS-III), Harmonic–Noise Ratio (HNR), jitter, shimmer, and smoothed...
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MDPI AG
2024-12-01
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Online Access: | https://www.mdpi.com/2075-1729/15/1/27 |
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author | Anna Carolyna Gianlorenço Valton Costa Walter Fabris-Moraes Paulo Eduardo Portes Teixeira Paola Gonzalez Kevin Pacheco-Barrios Ciro Ramos-Estebanez Arianna Di Stadio Mirret M. El-Hagrassy Deniz Durok Camsari Tim Wagner Laura Dipietro Felipe Fregni |
author_facet | Anna Carolyna Gianlorenço Valton Costa Walter Fabris-Moraes Paulo Eduardo Portes Teixeira Paola Gonzalez Kevin Pacheco-Barrios Ciro Ramos-Estebanez Arianna Di Stadio Mirret M. El-Hagrassy Deniz Durok Camsari Tim Wagner Laura Dipietro Felipe Fregni |
author_sort | Anna Carolyna Gianlorenço |
collection | DOAJ |
description | Background: This study aimed to explore the potential associations between voice metrics of patients with PD and their motor symptoms. Methods: Motor and vocal data including the Unified Parkinson’s Disease Rating Scale part III (UPDRS-III), Harmonic–Noise Ratio (HNR), jitter, shimmer, and smoothed cepstral peak prominence (CPPS) were analyzed through exploratory correlations followed by univariate linear regression analyses. We employed these four voice metrics as independent variables and the total and sub-scores of the UPDRS-III as dependent variables. Results: Thirteen subjects were included, 76% males and 24% females, with a mean age of 62.9 ± 10.1 years, and a median Hoehn and Yahr stage of 2.3 ± 0.7. The regression analysis showed that CPPS is associated with posture (UPDRS-III posture scores: β = −0.196; F = 10.0; <i>p</i> = 0.01; R<sup>2</sup> = 0.50) and UPDRS-III postural stability scores (β = −0.130; F = 5.57; <i>p</i> = 0.04; R<sup>2</sup> = 0.35). Additionally, the associations between CPPS and rapid alternating movement (β = −0.297; <i>p</i> = 0.07), rigidity (β= −0.36; <i>p</i> = 0.11), and body bradykinesia (β = −0.16; <i>p</i> = 0.13) showed a trend towards significance. Conclusion: These findings highlight the potential role of CPPS as a predictor of postural impairments secondary to PD, emphasizing the need for further investigation. |
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language | English |
publishDate | 2024-12-01 |
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spelling | doaj-art-309e4fd4a65c4f039277c36c4e8be12b2025-01-24T13:38:30ZengMDPI AGLife2075-17292024-12-011512710.3390/life15010027Associations of Voice Metrics with Postural Function in Parkinson’s DiseaseAnna Carolyna Gianlorenço0Valton Costa1Walter Fabris-Moraes2Paulo Eduardo Portes Teixeira3Paola Gonzalez4Kevin Pacheco-Barrios5Ciro Ramos-Estebanez6Arianna Di Stadio7Mirret M. El-Hagrassy8Deniz Durok Camsari9Tim Wagner10Laura Dipietro11Felipe Fregni12Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, 1575 Cambridge Street, Cambridge, MA 02115, USANeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, 1575 Cambridge Street, Cambridge, MA 02115, USANeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, 1575 Cambridge Street, Cambridge, MA 02115, USAHighland Instruments, Inc., Cambridge, MA 02238, USANeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, 1575 Cambridge Street, Cambridge, MA 02115, USANeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, 1575 Cambridge Street, Cambridge, MA 02115, USADepartment of Neurology and Rehabilitation, University of Illinois at Chicago, 912 S Wood St., MC 796, Chicago, IL 60612, USAOtolaryngology Unit, GF Ingrassia Department, University of Catania, 95121 Catania, ItalyNeurology Department, UMass Memorial, UMass Chan Medical School, Suite #301, 67 Belmont St., Worcester, MA 01605, USAMayo Clinic, 200 1st St SW, Rochester, MN 55901, USAHighland Instruments, Inc., Cambridge, MA 02238, USAHighland Instruments, Inc., Cambridge, MA 02238, USANeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, 1575 Cambridge Street, Cambridge, MA 02115, USABackground: This study aimed to explore the potential associations between voice metrics of patients with PD and their motor symptoms. Methods: Motor and vocal data including the Unified Parkinson’s Disease Rating Scale part III (UPDRS-III), Harmonic–Noise Ratio (HNR), jitter, shimmer, and smoothed cepstral peak prominence (CPPS) were analyzed through exploratory correlations followed by univariate linear regression analyses. We employed these four voice metrics as independent variables and the total and sub-scores of the UPDRS-III as dependent variables. Results: Thirteen subjects were included, 76% males and 24% females, with a mean age of 62.9 ± 10.1 years, and a median Hoehn and Yahr stage of 2.3 ± 0.7. The regression analysis showed that CPPS is associated with posture (UPDRS-III posture scores: β = −0.196; F = 10.0; <i>p</i> = 0.01; R<sup>2</sup> = 0.50) and UPDRS-III postural stability scores (β = −0.130; F = 5.57; <i>p</i> = 0.04; R<sup>2</sup> = 0.35). Additionally, the associations between CPPS and rapid alternating movement (β = −0.297; <i>p</i> = 0.07), rigidity (β= −0.36; <i>p</i> = 0.11), and body bradykinesia (β = −0.16; <i>p</i> = 0.13) showed a trend towards significance. Conclusion: These findings highlight the potential role of CPPS as a predictor of postural impairments secondary to PD, emphasizing the need for further investigation.https://www.mdpi.com/2075-1729/15/1/27Parkinson’s diseasevoice disorderacoustic analysissmoothed cepstral peak prominenceposturepostural stability |
spellingShingle | Anna Carolyna Gianlorenço Valton Costa Walter Fabris-Moraes Paulo Eduardo Portes Teixeira Paola Gonzalez Kevin Pacheco-Barrios Ciro Ramos-Estebanez Arianna Di Stadio Mirret M. El-Hagrassy Deniz Durok Camsari Tim Wagner Laura Dipietro Felipe Fregni Associations of Voice Metrics with Postural Function in Parkinson’s Disease Life Parkinson’s disease voice disorder acoustic analysis smoothed cepstral peak prominence posture postural stability |
title | Associations of Voice Metrics with Postural Function in Parkinson’s Disease |
title_full | Associations of Voice Metrics with Postural Function in Parkinson’s Disease |
title_fullStr | Associations of Voice Metrics with Postural Function in Parkinson’s Disease |
title_full_unstemmed | Associations of Voice Metrics with Postural Function in Parkinson’s Disease |
title_short | Associations of Voice Metrics with Postural Function in Parkinson’s Disease |
title_sort | associations of voice metrics with postural function in parkinson s disease |
topic | Parkinson’s disease voice disorder acoustic analysis smoothed cepstral peak prominence posture postural stability |
url | https://www.mdpi.com/2075-1729/15/1/27 |
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