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: | Satwant Kumar |
| Institution: | The University of Texas at Austin |
| Department: | Department of Psychology |
| Country: | |
| Proposed Analysis: | The objective of this study is to explore how the cognitive tests relate to the structural features from magnetic resonance imaging (MRI). Specifically, we will ask the following questions: Can structural MRI features derived from deep learning models be used to: 1. Normal function, 2. Mild Cognitive Impairment (MCI), 3. Stable MCI, 4. Alzheimer’s disease. In addition, we will be using the machine learning approach we have developed recently to interpret the predictors of cognitive decline for use in clinical practice (Verma & Kumar, Society for Neuroscience meeting, 2021). |
| Additional Investigators | |
| Investigator's Name: | Khushboo Verma |
| Proposed Analysis: | The objective of this study is to explore how the cognitive tests relate to the structural features from magnetic resonance imaging (MRI). Specifically, we will ask the following questions: Can structural MRI features derived from deep learning models be used to: 1. Normal function, 2. Mild Cognitive Impairment (MCI), 3. Stable MCI, 4. Alzheimer’s disease. In addition, we will be using the machine learning approach we have developed recently to interpret the predictors of cognitive decline for use in clinical practice (Verma & Kumar, Society for Neuroscience meeting, 2021). |
