| Title: | Cross-diagnostic and cross-platform multimodal analysis of UK Biobank imaging data |
| Lead Institution: | Washington University in St. Louis |
| Principal investigator: | Dr Janine Bijsterbosch |
Application 47267
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
About
MRI scanners have the potential to help doctors decide whether we are at risk of certain diseases. To reach this potential, we first need to study a very large number of people to understand which MRI-based measures are most informative. We also need to make sure that we study people from different countries and across different ages to make sure that the MRI-based predictions can be used for everyone. This project brings together several big research studies so that we can look at the same MRI-based measures across continents, ages, and groups to find the best MRI-based predictors of disease. Our aim is to compare MRI-based markers of disease between the UK Biobank and other big data initiatives such as the Human Connectome Project, Connectomes Related to Human Disease projects, and the "All of us" study. We will analyse the MRI data to extract potential markers (for example based on connectivity patterns in the brain), and to develop new markers. We want to understand what these MRI markers can potentially tell us about health outcomes, and how they are related to other aspects of our lifestyle and our body's physiology. We will use advanced analysis methods and develop new approaches to study the complex relationships between MRI-based measures and other factors such as genetics, lifestyle, and physiology, in a range of psychiatric and neurodegenerative diseases.4 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 9047 | Associations between COVID-19 and putative markers of neuroinflammation: A diffusion basis spectrum imaging study | Wei Zhang (+7) | 2023 | Brain Behavior & Immunity - Health |
| 9415 | Investigating the Relationship Between Smoking Behavior and Global Brain Volume | Yoonhoo Chang (+8) | 2023 | Biological Psychiatry Global Open Science |
| 7809 | Population modeling with machine learning can enhance measures of mental health - Open-data replication | Ty Easley (+4) | 2023 | Neuroimage Reports |
| 10536 | Shared brain and genetic architectures between mental health and physical activity | Wei Zhang (+4) | 2022 | Translational Psychiatry |
Enabling scientific discoveries that improve human health