ArticleScientific reports2020
The physical significance of acoustic parameters and its clinical significance of dysarthria in Parkinson's disease.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 51 citations in OpenAlex.
- Toward Interpretable Voice-Based Parkinson's Disease Screening via Joint Transfer Function-Feature-Classifier-Ensemble Selection.Bioengineering (Basel, Switzerland) · 2026Article
- Multimodal Remote Digital Phenotyping for Detecting and Tracking Early Parkinsonian Change in LRRK2 Carriers.Research square · 2026Article
- Disorders of the Basal Ganglia and Cerebellum: A Comprehensive Review of Speech Sensorimotor Symptoms and Responses to Feedback Perturbations.Neurobiology of language (Cambridge, Mass.) · 2026Review
- Construction and validation of an automated time label segmentation method for infant cries.BMC pediatrics · 2025Article
- Multi-Channel Spectro-Temporal Representations for Speech-Based Parkinson's Disease Detection.Journal of imaging · 2025Article
- Left hemisphere lateralization in unilateral upper motor neuron dysarthria via quantitative acoustic analysis.Scientific reports · 2025Article
- Pre-trained convolutional neural networks identify Parkinson's disease from spectrogram images of voice samples.Scientific reports · 2025Article
- Intra-individual Variations in Voice Variables Among Individuals With and Without Parkinson's Disease.Cureus · 2025Article
- Effects of different side motor impairments at early onset on voice acoustic performance in patients with Parkinson's disease.Clinical parkinsonism & related disorders · 2025Article
- Pre-trained Convolutional Neural Networks Identify Parkinson's Disease from Spectrogram Images of Voice Samples.Research square · 2024Article
- Deep Clinical Phenotyping of Parkinson's Disease: Towards a New Era of Research and Clinical Care.Phenomics (Cham, Switzerland) · 2022Review
- Classification of Dysphonic Voices in Parkinson's Disease with Semi-Supervised Competitive Learning Algorithm.Biosensors · 2022Article
- [Diagnostic Value of Speech Acoustic Analysis in Parkinson's Disease].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022Review
- Phonemes based detection of parkinson's disease for telehealth applications.Scientific reports · 2022Article
- Correlation between head tremble and the severity of Parkinson's disease.CNS neuroscience & therapeutics · 2022Article
- Facial muscle movements in patients with Parkinson's disease undergoing phonation tests.Frontiers in neurology · 2022Article
- A rapid, non-invasive method for fatigue detection based on voice information.Frontiers in cell and developmental biology · 2022Article
- Consonantal Landmarks as Predictors of Dysarthria among English-Speaking Adults with Cerebral Palsy.Brain sciences · 2021Article
- Lee Silverman Voice Treatment to Improve Speech in Parkinson's Disease: A Systemic Review and Meta-Analysis.Parkinson's disease · 2021Review
- Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dysarthria is universal in Parkinson's disease (PD) during disease progression; however, the quality of vocalization changes is often ignored. Furthermore, the role of changes in the acoustic parameters of phonation in PD patients remains unclear. We recruited 35 PD patients and 26 healthy controls to perform single, double, and multiple syllable tests. A logistic regression was performed to differentiate between protective and risk factors among the acoustic parameters. The results indicated that the mean f0, max f0, min f0, jitter, duration of speech and median intensity of speaking for the PD patients were significantly different from those of the healthy controls. These results reveal some promising indicators of dysarthric symptoms consisting of acoustic parameters, and they strengthen our understanding about the significance of changes in phonation by PD patients, which may accelerate the discovery of novel PD biomarkers.
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