There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Mattson Ogg |
| Institution: | Johns Hopkins University Applied Physics Lab |
| Department: | Research and Exploratory Development |
| Country: | |
| Proposed Analysis: | WE AIM TO CREATE A RICH, DATA-DRIVEN REPRESENTATION OF INDIVIDUAL VARIABILITY IN BRAIN STRUCTURE AND FUNCTION THAT CAN SUPPORT THE DEVELOPMENT OF MODERN DEEP LEARNING ANALYTICS THAT IMPROVE OUR UNDERSTANDING OF NEUROLOGICAL AND PSYCHIATRIC HEALTH. A DEEP NEURAL NETWORK TRAINED TO DISTINGUISH INDIVIDUALS WITHIN LARGE MRI DATABASES WILL MAP THE LATENT SPACE OF INDIVIDUAL VARIABILITY AND DISTILL COMPACT FEATURES (EMBEDDINGS) THAT REPRESENT BRAIN FUNCTION. THESE FEATURES WILL SERVE AS A TRANSFER LEARNING RESOURCE THAT BRIDGES NEUROIMAGING (LIMITED, EXPENSIVE DATA) AND MODERN AI (MASSIVE DATA NEEDS). |
| Additional Investigators | |
| Investigator's Name: | LINDSEY KITCHELL |
| Proposed Analysis: | WE AIM TO CREATE A RICH, DATA-DRIVEN REPRESENTATION OF INDIVIDUAL VARIABILITY IN BRAIN STRUCTURE AND FUNCTION THAT CAN SUPPORT THE DEVELOPMENT OF MODERN DEEP LEARNING ANALYTICS THAT IMPROVE OUR UNDERSTANDING OF NEUROLOGICAL AND PSYCHIATRIC HEALTH AS WELL AS PATHOLOGIES (TBI, PTSD) THAT BURDEN MILITARY SERVICE MEMBERS. A DEEP NEURAL NETWORK TRAINED TO DISTINGUISH INDIVIDUALS WITHIN LARGE MRI DATABASES WILL MAP THE LATENT SPACE OF INDIVIDUAL VARIABILITY AND DISTILL COMPACT FEATURES (EMBEDDINGS) THAT REPRESENT BRAIN FUNCTION. THESE FEATURES WILL SERVE AS A TRANSFER LEARNING RESOURCE THAT BRIDGES NEUROIMAGING (LIMITED, EXPENSIVE DATA) AND MODERN AI (MASSIVE DATA NEEDS). |
