Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21230/20:00341111 RIV/00216208:11110/20:10411019

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Clinical Neurophysiology

ISSN

1388-2457

e-ISSN

—

Svazek periodika

131

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

IE - Irsko

Počet stran výsledku

11

Strana od-do

1155-1165

Kód UT WoS článku

000525862400023

EID výsledku v databázi Scopus

2-s2.0-85081012244