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 < 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 < 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
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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
<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
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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