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Characteristics of motor speech phenotypes in multiple sclerosis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F18%3A10373057" target="_blank" >RIV/00064165:_____/18:10373057 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/18:00319528 RIV/00216208:11110/18:10373057

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.msard.2017.11.007" target="_blank" >http://dx.doi.org/10.1016/j.msard.2017.11.007</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.msard.2017.11.007" target="_blank" >10.1016/j.msard.2017.11.007</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Characteristics of motor speech phenotypes in multiple sclerosis

  • Original language description

    Background: Motor speech disorders in multiple sclerosis (MS) are poorly understood and their quantitative, objective acoustic characterization remains limited. Additionally, little data regarding relationships between the severity of speech disorders and neurological involvement in MS, as well as the contribution of pyramidal and cerebellar functional systems on speech phenotypes, is available. Methods: Speech data were acquired from 141 MS patients with Expanded Disability Status Scale (EDSS) ranging from 1 to 6.5 and 70 matched healthy controls. Objective acoustic speech assessment including subtests on phonation, oral diadochokinesis, articulation and prosody was performed. Results: The prevalence of dysarthria in our MS cohort was 56% while the severity was generally mild and primarily consisted of a combination of spastic and ataxic components. Prosodic-articulatory disorder presenting with monopitch, articulatory decay, excess loudness variations and slow rate was the most salient. Speech disorders reflected subclinical motor impairment with 78% accuracy in discriminating between a subgroup of asymptomatic MS (EDSS &lt; 2.0) and control speakers. Speech disorder severity was related to the severity of neurological involvement. Decreased articulation rate was moderately correlated to EDSS as well as all subtests of the multiple sclerosis functional composite. The strongest correlation was observed between irregular oral diadochokinesis and the 9-Hole Peg Test (r = -0.65, p &lt; 0.001). Irregular oral diadochokinesis and excess loudness variations significantly separated pure pyramidal and mixed pyramidal-cerebellar MS subgroups. Conclusions: Automated speech analyses may provide valuable biomarkers of disease progression in MS as dysarthria represents common and early manifestation that reflects disease disability and underlying pyramidal-cerebellar pathophysiology.

  • 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

    <a href="/en/project/GA16-03322S" target="_blank" >GA16-03322S: Investigation of pathomechanisms responsible for speech and voice disorders in multiple sclerosis using new methods of objective acoustic analysis</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Multiple Sclerosis and Related Disorders

  • ISSN

    2211-0348

  • e-ISSN

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    January

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    62-69

  • UT code for WoS article

    000425903700015

  • EID of the result in the Scopus database

    2-s2.0-85033563678