Call for Papers: Digital Health Technologies in Parkinson Disease: Measurement, Intervention, and Validation
Digital health technologies (DHTs), including smartphones, wearable devices, and emerging sensor systems, are increasingly used in Parkinson disease research to enable continuous, real-world assessment of motor and non-motor symptoms. These approaches support scalable, longitudinal data collection, offer new opportunities for intervention, and extend naturally to related conditions such as prodromal and atypical parkinsonian disorders.
Despite this progress, important challenges remain in the validation, reproducibility, and clinical integration of these measurements. In parallel, the role of DHTs in interventional contexts, such as clinical trials, treatment optimization, and digital therapeutics, continues to evolve and warrants further attention, particularly in relation to study design, endpoint definition, clinical and real-world implementation.
This call for papers invites contributions that address these challenges through clinically grounded and methodologically rigorous research, spanning both measurement and intervention.
Topics of interest include, but are not limited to:
- Digital measurement of motor and non-motor symptoms
- Remote and real-world monitoring
- Disease progression and longitudinal modeling
- Digital therapeutics and intervention studies
- Serious games in motor rehabilitation
- DHT-enabled and hybrid clinical trials
- Use of digital endpoints in interventional research
- Smartphone, wearable, and multimodal sensing technologies
- Analytical and clinical validation of digital biomarkers
- Reproducibility, robustness, and regulatory considerations
- Translation into clinical research and practice
Submission deadline: June 30, 2027
Submission and publication process:
Submit an article to JMIR Neurotechnology by selecting “Digital Health Technologies in Parkinson’s Disease: Measurement, Intervention, and Validation” from the “Section” drop-down list. from the “Section” drop-down list. Please refer to the article How do I submit to a theme issue? in our Knowledge Base or consult our Instructions for Authors for additional guidance on submission.
All submissions will undergo a rigorous peer-review process. Accepted articles will be published under the theme "Digital Health Technologies in Parkinson’s Disease: Measurement, Intervention, and Validation" in JMIR Neurotechnology.
All peer-reviewed articles will be made immediately and permanently open access.
Articles will be made immediately available in JMIR Preprints (with a DOI); authors are required to select this option at submission.
Guest Editors:
Timothee Aubourg, PhD
University of Oxford, Nuffield Department of Clinical Neurosciences
Timothée Aubourg, PhD, is a Research Scientist at the Nuffield Department of Clinical Neurosciences, University of Oxford, where he works within the Oxford Parkinson’s Disease Centre on digital biomarkers and AI-based approaches to characterise disease progression in Parkinson’s disease. His research focuses on statistical and machine-learning methods applied to multimodal health data, including smartphones, wearables, neuromotor assessments and clinical data. He received his PhD in Health Engineering from Université Grenoble Alpes, France, in 2020, under the scientific supervision of Prof. Jacques Demongeot and in industrial collaboration with Dr. Joël Gardes (Orange Labs) and Dr. Soulaimane Guedria, following an MSc in Applied Mathematics. Before joining Oxford, he worked in academic research and industrial R&D in France, developing machine-learning methods for digital health and sensor-based applications. His work spans digital health, medical AI, statistical modelling and real-world machine-learning systems.
Jacques Demongeot, MD, PhD
Université Grenoble Alpes, France
Jacques Demongeot, MD and PhD in Mathematics, is Professor Emeritus at Université Grenoble Alpes (UGA), Honorary Senior Member of the Institut Universitaire de France (IUF), Member of the International Academy of Medical and Biological Engineering (IAMBE) and foreign member of the Chilean Academy of Sciences. He belongs since 2016 to the AGEIS UGA laboratory, dedicated to gerontechnology and e-health. In 1987, he founded the CNRS laboratory TIMC (Techniques of Imaging, Modeling and Complexity, inside the institute Informatics, Mathematics and Applications of Grenoble (IMAG), which he directed until 2011. In 1985, he founded at the Grenoble University Hospital the Medical Informatics Service, enlarged in 2003 to the Public Health Pole, which he directed until 2012. In 1995, he founded the Doctoral School of Engineering for Health, Cognition and Environment (EDISCE), which he directed until 2003. He was responsible from 1997 to 2000 of the Bureau Technologies for Health at the Ministry of Research, then from 2002 to 2007 of the CNRS Complex Systems Program. He has published more than 600 papers focused on biomathematics, biostatistics, bioinformatics and medical engineering.