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: | Antonija Kolobaric |
| Institution: | University of Pittsburgh |
| Department: | CNUP |
| Country: | |
| Proposed Analysis: | I am a graduate student in The Geriatric Psychiatry Neuroimaging (GPN) Lab, led by Doctors Howard Aizenstein and Carmen Andreescu. As a part of my PhD research, I am hoping to get access to the ADNI database to expand and build on the previous work the lab has published using the ADNI dataset (e.g., see https://www.sciencedirect.com/science/article/pii/S019745801930394X). More specifically, I am hoping to 1. Use data driven and hypothesis driven approaches to conduct an in-depth examination of the relationship between mood, cognition and aging. 2. Leverage machine learning and big data to build predictive models of aging. |
| Additional Investigators | |
| Investigator's Name: | Hunsica Jayaprakash |
| Proposed Analysis: | Proposed analysis: I am a undergraduate student in The Geriatric Psychiatry Neuroimaging (GPN) Lab, led by Doctors Howard Aizenstein and Carmen Andreescu. As a part of my PhD research, I am hoping to get access to the ADNI database to expand and build on the previous work the lab has published using the ADNI dataset. More specifically, I am hoping to 1) Use data driven and hypothesis driven approaches to conduct an in-depth examination of the relationship between mood, cognition, and aging and 2) Leverage machine learning and big data to build predictive models of aging. |
| Investigator's Name: | Linghai Wang |
| Proposed Analysis: | I am a graduate student in The Geriatric Psychiatry Neuroimaging (GPN) Lab, led by Doctors Howard Aizenstein and Carmen Andreescu. As a part of my PhD research, I am hoping to get access to the ADNI database to expand and build on the previous work the lab has published using the ADNI dataset (e.g., see https://www.sciencedirect.com/science/article/pii/S019745801930394X). More specifically, I am hoping to 1. Use data driven and hypothesis driven approaches to conduct an in-depth examination of the relationship between mood, cognition and aging. 2. Leverage machine learning and big data to build predictive models of aging. |
| Investigator's Name: | Anzu Sekikawa |
| Proposed Analysis: | I am an undergraduate student in The Geriatric Psychiatry Neuroimaging (GPN) Lab, led by Doctors Howard Aizenstein and Carmen Andreescu. As a part of my PhD research, I am hoping to get access to the ADNI database to expand and build on the previous work the lab has published using the ADNI dataset (e.g., see https://www.sciencedirect.com/science/article/pii/S019745801930394X). More specifically, I am hoping to 1. Use data driven and hypothesis driven approaches to conduct an in-depth examination of the relationship between mood, cognition and aging. 2. Leverage machine learning and big data to build predictive models of aging. |
| Investigator's Name: | Noah Schweitzer |
| Proposed Analysis: | I am a graduate student in The Geriatric Psychiatry Neuroimaging (GPN) Lab, led by Doctors Howard Aizenstein and Carmen Andreescu. As a part of my PhD research, I am hoping to get access to the ADNI database to expand and build on the previous work the lab has published using the ADNI dataset (e.g., see https://www.sciencedirect.com/science/article/pii/S019745801930394X). More specifically, I am hoping to 1. Use data driven and hypothesis driven approaches to conduct an in-depth examination of the relationship between mood, cognition and aging. 2. Leverage machine learning and big data to build predictive models of aging. |
