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Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH
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 voc...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247696/ https://www.ncbi.nlm.nih.gov/pubmed/35772829 http://dx.doi.org/10.1136/bmjopen-2021-059871 |
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author | Kouba, Tomáš Illner, Vojtěch Rusz, Jan |
author_facet | Kouba, Tomáš Illner, Vojtěch Rusz, Jan |
author_sort | Kouba, Tomáš |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9247696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-92476962022-07-14 Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH Kouba, Tomáš Illner, Vojtěch Rusz, Jan BMJ Open Neurology 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. BMJ Publishing Group 2022-06-30 /pmc/articles/PMC9247696/ /pubmed/35772829 http://dx.doi.org/10.1136/bmjopen-2021-059871 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Neurology Kouba, Tomáš Illner, Vojtěch Rusz, Jan Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH |
title | Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH |
title_full | Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH |
title_fullStr | Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH |
title_full_unstemmed | Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH |
title_short | Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH |
title_sort | study protocol for using a smartphone application to investigate speech biomarkers of parkinson’s disease and other synucleinopathies: smartspeech |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247696/ https://www.ncbi.nlm.nih.gov/pubmed/35772829 http://dx.doi.org/10.1136/bmjopen-2021-059871 |
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