Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
BMJ Open. 2022 Jun 30;12(6):e059871. doi: 10.1136/bmjopen-2021-059871.
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.
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.
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.
在帕金森病(PD)的前驱期尽早识别具有重要意义,这将有助于未来开发神经保护疗法。然而,目前尚无足够准确的前驱期 PD 生物标志物来促进早期识别。孤立性快速眼动睡眠行为障碍(iRBD)和 PD 患者的语音评估似乎具有令人感兴趣的潜力,可作为 PD 和相关突触核蛋白病的诊断和进展生物标志物。
将通过开发的智能手机应用程序在 2 年内收集 iRBD、早期 PD 和对照组参与者的语音呼叫中的自发语音模式。预计 PD 相关言语障碍的几个方面会出现显著增加,并预计反映潜在的神经退行性过程。
该研究已获得捷克布拉格总医院伦理委员会的批准,所有参与者将在被纳入研究前提供书面知情同意书。该应用程序符合欧盟《通用数据保护条例》的法律要求。研究结果将发表在同行评议的期刊上,并在国际科学会议上展示。