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Glottal Source Analysis of Voice Deficits in Newly Diagnosed Drug-naive Patients with Parkinson's Disease: Correlation Between Acoustic Speech Characteristics and Non-Speech Motor Performance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F20%3A10409539" target="_blank" >RIV/00216208:11110/20:10409539 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/20:00339337

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=r9xc_Nd5Yg" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=r9xc_Nd5Yg</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.bspc.2019.101818" target="_blank" >10.1016/j.bspc.2019.101818</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Glottal Source Analysis of Voice Deficits in Newly Diagnosed Drug-naive Patients with Parkinson's Disease: Correlation Between Acoustic Speech Characteristics and Non-Speech Motor Performance

  • Original language description

    As dysphonia is assumed to be the most prevalent feature of hypokinetic dysarthria in Parkinson&apos;s disease (PD), several acoustic approaches have been introduced for its assessment. However, the sensitivity of different acoustic measures to the occurrence of dysphonia in drug-naïve de-novo patients with PD has not yet been explored. The goal of this study is to examine the performance of glottal source parametrization and compare it with traditional perturbation and cepstral measures. Sustained phonations of 40 de-novo drug-naïve PD participants and 40 age- and sex-matched healthy controls were recorded. Each utterance was ranked by a set of glottal source parameters obtained by inverse adaptive filtering, the perturbation parameters, and cepstral peak prominence measures. Our results revealed the significant differences in the glottal source parameter Harmonic Richness Factor (HRF: p &lt; 0.01) and cepstral peak prominence parameter (p &lt; 0.05). The support vector machine classification between PD and healthy controls reached the area under the curve of 0.78. The analysis of relationships showed significant negative correlations between HRF and total Movement Disorders Society - Unified Parkinson&apos;s Disease Rating Scale III score (r=-0.35, p &lt; 0.05), as well as its rigidity (r=-0.43, p &lt; 0.01) and bradykinesia (r=-0.32, p &lt; 0.05) sub-scores. Glottal source assessment appears to be a superior method to assess PD-related dysphonia compared to the traditional perturbation and cepstral approaches. Our results highlight that dysphonia and limb bradykinesia and rigidity in PD are controlled by similar underlying brain processes.

  • 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

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    Biomedical Signal Processing and Control

  • ISSN

    1746-8094

  • e-ISSN

  • Volume of the periodical

    57

  • Issue of the periodical within the volume

    March

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    101818

  • UT code for WoS article

    000512481800069

  • EID of the result in the Scopus database

    2-s2.0-85076003726