About Us
The Oxford Parkinson's Disease Centre (OPDC) is a unique multidisciplinary research program at the University of Oxford. The OPDC was established in February 2010 and brings together internationally-renowned scientists who work on the genetics of Parkinson’s, the generation of cell and animal models, and the wiring of brain circuits which control movement, with clinical experts in the diagnosis and treatment of Parkinson’s.
Our world-class research centre works to understand the earliest events in the development of Parkinson’s with an ultimate view to target the molecular mechanisms of disease with neuroprotective therapies to prevent disease onset or delay progression.
Our program is focused on the molecular pathways to Parkinson’s in order to:
- Predict the onset of Parkinson’s
- Understand the progression of Parkinson’s
- Identify potential drug targets for Parkinson's
- Develop new treatments that will prevent the development of Parkinson’s in at-risk individuals.
Watch the video below to learn more about OPDC's research:
Latest News
Latest publications
Cerebral blood flow as a mechanistic framework across neurological disease
Journal article
Patel S. et al, (2026), Discover Neuroscience, 21
Beyond “non-significant” results: Why and how to test for practical equivalence
Journal article
Tomek J. et al, (2026), Proceedings of the National Academy of Sciences, 123
Identifying phenotype-genotype-function coupling in 3D organoid imaging using Shape, Appearance and Motion Phenotype Observation Tool (SPOT).
Journal article
Zhou FY. et al, (2026), Nat Commun, 17
Regional electrical differences and arrhythmia in the rat atria: Role of sympathetic nerve distribution and function.
Journal article
Saleeb-Mousa J. et al, (2026), J Physiol
Label-free biochemical imaging and time point analysis of neural organoids via deep learning-enhanced Raman microspectroscopy.
Journal article
Georgiev D. et al, (2026), Sci Adv, 12
Proximal Junctional Failure After Adult Spinal Deformity Surgery: A Systematic Review and Meta-analysis of Predictive Risk Factors.
Journal article
Patel S. et al, (2026), Spine (Phila Pa 1976)

