Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
32146096
DOI
10.1016/j.clinph.2020.02.005
PII: S1388-2457(20)30062-6
Knihovny.cz E-zdroje
- Klíčová slova
- Dysarthria, Phonatory instability, Tremulous, Vocal, Voice tremor,
- MeSH
- akustika řeči * MeSH
- dospělí MeSH
- elektromyografie metody MeSH
- esenciální tremor diagnóza patofyziologie MeSH
- Fourierova analýza * MeSH
- kvalita hlasu fyziologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- nemoci nervového systému diagnóza patofyziologie MeSH
- poruchy hlasu diagnóza patofyziologie MeSH
- progrese nemoci * MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
OBJECTIVE: Voice tremor represents a common but frequently overlooked clinical feature of neurological disease. Therefore, we aimed to quantitatively and objectively assess the characteristics of voice tremor in a large sample of patients with various progressive neurological diseases. METHODS: Voice samples were acquired from 240 patients with neurological disease and 40 healthy controls. The robust automated method was designed, allowing precise tracking of multiple tremor frequencies and distinguish pathological from the physiological tremor. RESULTS: Abnormal tremor was revealed in Huntington's disease (65%), essential tremor (50%), multiple system atrophy (40%), cerebellar ataxia (40%), amyotrophic lateral sclerosis (40%), progressive supranuclear palsy (25%), Parkinson's disease (20%), cervical dystonia (10%), and multiple sclerosis (8%) but not in controls. Low-frequency voice tremor (<4 Hz) was common in all investigated diseases, whereas medium tremor frequencies (4-7 Hz) were specific for movement disorders of Parkinson's disease, multiple system atrophy, essential tremor, and cervical dystonia. CONCLUSIONS: Careful estimation of vocal tremor may help with accurate diagnosis and tailored treatment. SIGNIFICANCE: This study provides (i) more insights into the pathophysiology of vocal tremor in a wide range of neurological diseases and (ii) an accurate method for estimation of vocal tremor suitable for clinical practice.
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