ADNI data is made available to researchers around the world. As such, there are many active research projects accessing and applying the shared ADNI data. To further encourage Alzheimer’s disease research collaboration, and to help prevent duplicate efforts, the list below shows the specific research focus of the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Jeannie-Marie Leoutsakos |
| Institution: | Johns Hopkins School of Medicine |
| Department: | Psychiatry |
| Country: | |
| Proposed Analysis: | I am planning to do some simulations to determine power for a clinical trial in MCI (primary analysis will be a mixed effects model for comparison of rates of decline between treated and untreated). I want to use the ADNI data to identify realistic parameter values for the mixed effects model, including rate and shape of decline, variance-covariance matrix of random effects, and patterns and rates of missingness. |
| Additional Investigators | |
| Investigator's Name: | Sarah Tighe |
| Proposed Analysis: | We propose a secondary analysis of ADNI data related to neuropsychiatric symptoms (NPS) in patients with dementia due to all causes. The overarching goal of the project is to study the longitudinal course of NPS using clinical data collected by ADNI. We aim to evaluate patterns of NPS occurrence and co-occurrence that lead to worse clinical outcomes (e.g., mortality or institutionalization), identify predictors of specific patterns of NPS, and examine the effects of modifiable factors (e.g., general medical health, care environment) on NPS course and co-occurrence. We plan to compare our results from the ADNI dataset to data from the population-based Cache County Study on Memory in Aging (R01AG11380); its successor, the Cache County Dementia Progression Study (R01AG21136); and the National Alzheimer’s Coordinating Center (NACC). |
| Investigator's Name: | Constantine Lyketsos |
| Proposed Analysis: | We propose a secondary analysis of ADNI data related to neuropsychiatric symptoms (NPS) in patients with dementia due to all causes. The overarching goal of the project is to study the longitudinal course of NPS using clinical data collected by ADNI. We aim to evaluate patterns of NPS occurrence and co-occurrence that lead to worse clinical outcomes (e.g., mortality or institutionalization), identify predictors of specific patterns of NPS, and examine the effects of modifiable factors (e.g., general medical health, care environment) on NPS course and co-occurrence. We plan to compare our results from the ADNI dataset to data from the population-based Cache County Study on Memory in Aging (R01AG11380); its successor, the Cache County Dementia Progression Study (R01AG21136); and the National Alzheimer’s Coordinating Center (NACC). |
| Investigator's Name: | Christian Geiser |
| Proposed Analysis: | We propose a secondary analysis of ADNI data related to neuropsychiatric symptoms (NPS) in patients with dementia due to all causes. The overarching goal of the project is to study the longitudinal course of NPS using clinical data collected by ADNI. We aim to evaluate patterns of NPS occurrence and co-occurrence that lead to worse clinical outcomes (e.g., mortality or institutionalization), identify predictors of specific patterns of NPS, and examine the effects of modifiable factors (e.g., general medical health, care environment) on NPS course and co-occurrence. We plan to compare our results from the ADNI dataset to data from the population-based Cache County Study on Memory in Aging (R01AG11380); its successor, the Cache County Dementia Progression Study (R01AG21136); and the National Alzheimer’s Coordinating Center (NACC). |
| Investigator's Name: | JoAnn Tschanz |
| Proposed Analysis: | We propose a secondary analysis of ADNI data related to neuropsychiatric symptoms (NPS) in patients with dementia due to all causes. The overarching goal of the project is to study the longitudinal course of NPS using clinical data collected by ADNI. We aim to evaluate patterns of NPS occurrence and co-occurrence that lead to worse clinical outcomes (e.g., mortality or institutionalization), identify predictors of specific patterns of NPS, and examine the effects of modifiable factors (e.g., general medical health, care environment) on NPS course and co-occurrence. We plan to compare our results from the ADNI dataset to data from the population-based Cache County Study on Memory in Aging (R01AG11380); its successor, the Cache County Dementia Progression Study (R01AG21136); and the National Alzheimer’s Coordinating Center (NACC). |