ArticleBrain and behavior2020
Parkinson's disease or atypical parkinsonism? The importance of acoustic voice analysis in differential diagnosis of speech disorders.
Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 39 citations in OpenAlex.
- Altered Inter-Network Functional Integration Underlies Speech Impairment in Parkinson's Disease: A Resting-State fMRI Analysis.Brain and behavior · 2026Article
- Variable Speech Cueing Effects in Talkers With Parkinson's Disease.American journal of speech-language pathology · 2026Article
- Machine Learning-Based Detection of Parkinson's Disease From Arabic Speech: A Cross-Linguistic Validation Study.Journal of central nervous system disease · 2026Article
- Early detection of Parkinson's disease: Machine learning-based prediction of UPDRS Part III scores inJournal of Parkinson's disease · 2025Article
- Speech Differences between Multiple System Atrophy and Parkinson's Disease.Movement disorders clinical practice · 2025Article
- Speech and language biomarkers for Parkinson's disease prediction, early diagnosis and progression.NPJ Parkinson's disease · 2025Review
- Asymmetry in Atypical Parkinsonian Syndromes-A Review.Journal of clinical medicine · 2024Review
- Utilizing speech analysis to differentiate progressive supranuclear palsy from Parkinson's disease.Parkinsonism & related disorders · 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
- Speech acoustic indices for differential diagnosis between Parkinson's disease, multiple system atrophy and progressive supranuclear palsy.NPJ Parkinson's disease · 2022Article
- Classification of Dysphonic Voices in Parkinson's Disease with Semi-Supervised Competitive Learning Algorithm.Biosensors · 2022Article
- Parkinson's disease or atypical parkinsonism? The importance of acoustic voice analysis in differential diagnosis of speech disorders.Brain and behavior · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionSpeech disorder is a common clinical manifestation in patients with Parkinson's disease and atypical parkinsonian syndromes and tends to occur before the onset of the axial parkinsonian symptoms. Due to parkinsonian features that overlap those of Parkinson's disease, the differentiation of voice and a speech disorder is a challenge for clinicians primarily in the early stage of the disease.
methodsSpeech samples were obtained from 116 subjects including 30 cases of Parkinson's disease, 30 cases of progressive supranuclear palsy, 30 cases of multiple system atrophy, and control group consisted of 26 subjects. Differential diagnosis of dysarthria subtypes was based on the quantitative, acoustic analysis of particular speech components. Additionally, Voice Handicap Index questionnaire was taken into account to differentiate the severity of voice impairment in the study groups.
resultsOur results showed significant differences in the distribution of acoustic parameters between Parkinson's disease and atypical parkinsonian syndromes. A mixed type of dysarthria with a combination of hypokinetic, spastic, and atactic features has been found in patients with atypical parkinsonism. In patients with the clinical diagnosis of the parkinsonian variant of multiple system atrophy, ataxic components of dysarthria were observed. Patients with PD presented pure hypokinetic dysarthria. Some parameters may be used as a marker for the diagnosis of the initial stage of PD. Voice impartment was significantly more frequent and severe in atypical parkinsonism than in Parkinson's disease.
conclusionAcoustic voice analysis is a very sensitive and noninvasive tool, provides objective information for the assessment of different speech components, has the specific potential to provide quantitative data essential for the improvement of the diagnostic process, and maybe a useful instrument in the differential diagnosis of parkinsonian syndromes.
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