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
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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
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
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UT code for WoS article
000820407500004
EID of the result in the Scopus database
2-s2.0-85133299424