Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F20%3A10411019" target="_blank" >RIV/00064165:_____/20:10411019 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/20:00341111 RIV/00216208:11110/20:10411019
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=CBFJ6vRrcD" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=CBFJ6vRrcD</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.clinph.2020.02.005" target="_blank" >10.1016/j.clinph.2020.02.005</a>
Alternative languages
Result language
angličtina
Original language name
Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses
Original language description
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. (C) 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Clinical Neurophysiology
ISSN
1388-2457
e-ISSN
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Volume of the periodical
131
Issue of the periodical within the volume
5
Country of publishing house
IE - IRELAND
Number of pages
11
Pages from-to
1155-1165
UT code for WoS article
000525862400023
EID of the result in the Scopus database
2-s2.0-85081012244