ArticleNPJ Parkinson's disease2022
Speech acoustic indices for differential diagnosis between Parkinson's disease, multiple system atrophy and progressive supranuclear palsy.
Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 32 citations in OpenAlex.
- Altered Timing of Self-Voice Processing in Parkinson's Disease.The European journal of neuroscience · 2026Article
- Screening speech disorders in progressive neurological diseases via long-term average spectrum.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study.JMIR medical informatics · 2026Article
- Use of machine learning and voice for multiclass classification of Parkinson's disease, chronic obstructive pulmonary disease, and healthy controls.Scientific reports · 2026Article
- A novel class-attention transformer-driven feature fusion technique-based speech disorder classification.Frontiers in medicine · 2026Article
- Syllable-based speech characteristics as potential biomarker for differential diagnosis of Parkinson's disease, multiple system atrophy, and cerebellar ataxia.Journal of neurology · 2025Article
- Speech Differences between Multiple System Atrophy and Parkinson's Disease.Movement disorders clinical practice · 2025Article
- Digital speech biomarkers can measure acute effects of levodopa in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Speech and language biomarkers for Parkinson's disease prediction, early diagnosis and progression.NPJ Parkinson's disease · 2025Review
- Dopa-responsive Rest Tremor Preceding Tachyphemia in Progressive Supranuclear Palsy.Internal medicine (Tokyo, Japan) · 2025Article
- Speech profile in different clinical PSP phenotypes: an acoustic-perceptual study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Automated analysis of spoken language differentiates multiple system atrophy from Parkinson's disease.Journal of neurology · 2025Article
- Velopharyngeal Insufficiency and Impaired Tongue Movement Indicate Neuromuscular Disorders: A 10-Year Statistical Study in a Single Tertiary Institution.Journal of clinical medicine · 2025Article
- Multimodal Technologies for Remote Assessment of Neurological and Mental Health.Journal of speech, language, and hearing research : JSLHR · 2024Review
- Automated Acoustic Analysis in Parkinson's Disease Using a SmartphoneAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Acoustic assessment in mandarin-speaking Parkinson's disease patients and disease progression monitoring and brain impairment within the speech subsystem.NPJ Parkinson's disease · 2024Review
- Parkinson's disease detection based on features refinement through L1 regularized SVM and deep neural network.Scientific reports · 2024Article
- An automatic measure for speech intelligibility in dysarthrias-validation across multiple languages and neurological disorders.Frontiers in digital health · 2024Article
- Longitudinal characterization of patients with progressive apraxia of speech without clearly predominant phonetic or prosodic speech features.Brain and language · 2023Article
- Speech disorders in patients with Tongue squamous cell carcinoma: A longitudinal observational study based on a questionnaire and acoustic analysis.BMC oral health · 2023Observational
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
While speech disorder represents an early and prominent clinical feature of atypical parkinsonian syndromes such as multiple system atrophy (MSA) and progressive supranuclear palsy (PSP), little is known about the sensitivity of speech assessment as a potential diagnostic tool. Speech samples were acquired from 215 subjects, including 25 MSA, 20 PSP, 20 Parkinson's disease participants, and 150 healthy controls. The accurate differential diagnosis of dysarthria subtypes was based on the quantitative acoustic analysis of 26 speech dimensions related to phonation, articulation, prosody, and timing. A semi-supervised weighting-based approach was then applied to find the best feature combinations for separation between PSP and MSA. Dysarthria was perceptible in all PSP and MSA patients and consisted of a combination of hypokinetic, spastic, and ataxic components. Speech features related to respiratory dysfunction, imprecise consonants, monopitch, slow speaking rate, and subharmonics contributed to worse performance in PSP than MSA, whereas phonatory instability, timing abnormalities, and articulatory decay were more distinctive for MSA compared to PSP. The combination of distinct speech patterns via objective acoustic evaluation was able to discriminate between PSP and MSA with very high accuracy of up to 89% as well as between PSP/MSA and PD with up to 87%. Dysarthria severity in MSA/PSP was related to overall disease severity. Speech disorders reflect the differing underlying pathophysiology of tauopathy in PSP and α-synucleinopathy in MSA. Vocal assessment may provide a low-cost alternative screening method to existing subjective clinical assessment and imaging diagnostic approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.