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Long-Term Averaged Spectrum Descriptors of Dysarthria in Patients With Parkinson’s Disease Treated With Subthalamic Nucleus Deep Brain Stimulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F22%3A43925514" target="_blank" >RIV/60461373:22340/22:43925514 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/22:00362584 RIV/00216208:11110/22:10456563 RIV/00064165:_____/22:10456563

  • Result on the web

    <a href="https://pubs.asha.org/doi/10.1044/2022_JSLHR-22-00308?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed" target="_blank" >https://pubs.asha.org/doi/10.1044/2022_JSLHR-22-00308?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1044/2022_JSLHR-22-00308" target="_blank" >10.1044/2022_JSLHR-22-00308</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Long-Term Averaged Spectrum Descriptors of Dysarthria in Patients With Parkinson’s Disease Treated With Subthalamic Nucleus Deep Brain Stimulation

  • Original language description

    Purpose: This study aimed to evaluate whether long-term averaged spectrum (LTAS) descriptors for reading and monologue are suitable to detect worsening of dysarthria in patients with Parkinson’s disease (PD) treated with subthalamic nucleus deep brain stimulation (STN-DBS) with potential effect of ON and OFF stimulation conditions and types of connected speech. Method: Four spectral moments based on LTAS were computed for monologue and reading passage collected from 23 individuals with PD treated with bilateral STN-DBS and 23 age-and gender-matched healthy controls. Speech performance of patients with PD was compared in ON and OFF STN-DBS conditions. Results: All LTAS spectral moments including mean, standard deviation, skew-ness, and kurtosis across both monologue and reading passage were able to significantly distinguish between patients with PD in both stimulation conditions and control speakers. The spectral mean was the only LTAS measure sensitive to capture better speech performance in STN-DBS ON, as compared to the STN-DBS OFF stimulation condition (p &lt; .05). Standardized reading passage was more sensitive compared to monologue in detecting dysarthria severity via LTAS descriptors with an area under the curve of up to 0.92 obtained between PD and control groups. Conclusions: Our findings confirmed that LTAS is a suitable approach to objec-tively describe changes in speech impairment severity due to STN-DBS therapy in patients with PD. We envisage these results as an important step toward a continuum development of technological solutions for the automated assessment of stimulation-induced dysarthria. Supplemental Material: https://doi.org/10.23641/asha.21644798. © 2022 American Speech-Language-Hearing Association.

  • 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

    20601 - Medical engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Speech, Language, and Hearing Research

  • ISSN

    1092-4388

  • e-ISSN

    1558-9102

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    4690-4699

  • UT code for WoS article

    000931940600012

  • EID of the result in the Scopus database

    2-s2.0-85143888537