Project: Full exploitation of High-Dimensionality in brain imaging
| Acronym | Full-HD (Reference Number: JPCOFUND_FP-940-020) |
| Duration | 01/10/2016 - 31/03/2017 |
| Project Topic | High-throughput technology can now provide rich information on a person's biological makeup and environmental surroundings. Important discoveries have been made by relating these data to various health outcomes in fields such as genomics, proteomics, and medical imaging. Cross-investigations between several high-throughput technologies remained impractical due to demanding computational requirements (hundreds of years of computing resources) and unsuitability for collaborative settings (terabytes of data to share). In HD-READY, our previous JPND Working Group, we developed methods that successfully overcome both of these issues. However, one key outstanding issue in neuroimaging is that these high-dimensional phenotypes (i.e., voxels, vertices) require an dedicated approach to harmonization, since they are not straightforward to compare between neuroimaging studies. In the Full-HD Working Group, we focus on this harmonization of high-dimensional neuroimaging phenotypes in combination with other omics data, and how to make the resulting ultra-high-dimensional data easily accessible in neurodegeneration research. |
| Network | JPco-fuND |
| Call | Working Groups for Harmonisation and Alignment in Brain Imaging Methods for Neurodegeneration |
Project partner
| Number | Name | Role | Country |
|---|---|---|---|
| 1 | Erasmus MC | Coordinator | Netherlands |
| 2 | Radboud University | Partner | Netherlands |
| 3 | Boston University School of Medicine | Partner | United States |
| 4 | Keck School of Medicine of the University of Southern California | Partner | United States |
| 5 | University Medicine Greifswald | Partner | Germany |
| 6 | University of California | Partner | United States |
| 7 | Medical University Graz | Partner | Germany |
| 8 | QIMR Berghofer Medical Research Institute | Partner | Australia |