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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&apos;s disease (65%), essential tremor (50%), multiple system atrophy (40%), cerebellar ataxia (40%), amyotrophic lateral sclerosis (40%), progressive supranuclear palsy (25%), Parkinson&apos;s disease (20%), cervical dystonia (10%), and multiple sclerosis (8%) but not in controls. Low-frequency voice tremor (&lt;4 Hz) was common in all investigated diseases, whereas medium tremor frequencies (4-7 Hz) were specific for movement disorders of Parkinson&apos;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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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