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Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson's disease and other synucleinopathies: SMARTSPEECH

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00358655" target="_blank" >RIV/68407700:21230/22:00358655 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1136/bmjopen-2021-059871" target="_blank" >https://doi.org/10.1136/bmjopen-2021-059871</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1136/bmjopen-2021-059871" target="_blank" >10.1136/bmjopen-2021-059871</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson's disease and other synucleinopathies: SMARTSPEECH

  • Original language description

    Introduction: Early identification of Parkinson's disease (PD) in its prodromal stage has fundamental implications for the future development of neuroprotective therapies. However, no sufficiently accurate biomarkers of prodromal PD are currently available to facilitate early identification. The vocal assessment of patients with isolated rapid eye movement sleep behaviour disorder (iRBD) and PD appears to have intriguing potential as a diagnostic and progressive biomarker of PD and related synucleinopathies. Methods and analysis: Speech patterns in the spontaneous speech of iRBD, early PD and control participants' voice calls will be collected from data acquired via a developed smartphone application over a period of 2 years. A significant increase in several aspects of PD-related speech disorders is expected, and is anticipated to reflect the underlying neurodegeneration processes. Ethics and dissemination: The study has been approved by the Ethics Committee of the General University Hospital in Prague, Czech Republic and all the participants will provide written, informed consent prior to their inclusion in the research. The application satisfies the General Data Protection Regulation law requirements of the European Union. The study findings will be published in peer-reviewed journals and presented at international scientific conferences.

  • 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

    30210 - Clinical neurology

Result continuities

  • Project

    <a href="/en/project/NU20-08-00445" target="_blank" >NU20-08-00445: Smart Speech Biomarkers for Parkinson’s Disease and Other Synucleinopathies</a><br>

  • Continuities

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

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

    BMJ Open

  • ISSN

    2044-6055

  • e-ISSN

    2044-6055

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

  • UT code for WoS article

    000820407500004

  • EID of the result in the Scopus database

    2-s2.0-85133299424