| Title: | Multimodal Analysis of Genetic and Neuroimaging Data for Parkinson's disease or Atypical Parkinsonism. |
| Lead Institution: | Second Affiliated Hospital of Zhejiang University |
| Principal investigator: |
Application 151172
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About
Aims: Our project aims to understand how our genes influence the structure and function of our brains in parkinsonism. By combining genetic information with brain scans from the UK Biobank, we hope to identify which specific genes are linked to certain brain features and functions in patients. Scientific Rationale: Both our genes and our brains play critical roles in who we are, from our personalities to our health. Recent studies have hinted that certain genes can influence how our brains are structured and how they function. With the UK Biobank's extensive collection of both genetic data and brain scans, we have a unique opportunity to explore this relationship further. Project Duration: The project is expected to span over two years. The first year will involve gathering and preparing the data, while the second year will focus on in-depth analysis and drawing conclusions. Public Health Impact: Understanding the relationship between our genes and our brains can offer insights into parkinsonism. This can potentially lead to more personalized treatments and interventions. For the general public, our findings can provide a clearer picture of how our genetic makeup can influence our brain health and, in turn, our overall well-being. In essence, our research seeks to bridge the gap between our genes and our brains, aiming for a future where medicine is tailored to our unique genetic blueprint and brain profile.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 21529 | Cross-sectional associations of insulin resistance surrogate indices with cognitive disorders and cognitive performance in UK Biobank. | Zhinan Ye (+12) | 2026 | Journal of Alzheimer's Disease |
Enabling scientific discoveries that improve human health