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: | Gabriel Pena |
| Institution: | University of Maryland-College Park |
| Department: | Kinesiology |
| Country: | |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Additional Investigators | |
| Investigator's Name: | J. Carson Smith |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. Dr. Smith is the director of our group and would guide our group as we address topics of interest. |
| Investigator's Name: | Zofia Cieslak |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Rejoyce Mgboji |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | So Min Lee |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Madhulika Nallani |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Molly Ding |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Danny Hemani |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Michael Park |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Mahalet Samson |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Beatrice Acha |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Anjali Kubli |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Benjamin Wu |
| Proposed Analysis: | Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | Jodi Coalter |
| Proposed Analysis: | Jodi is a University librarian with at the University of Maryland and has agreed to join our research efforts with the ADNI database (outlined below). Specifically, Jodi is going to be a co-investigator who will aid in the management and organization of data as well as advise on how to best use the data to ensure we adhere to all the stipulations of the data user agreement. Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
| Investigator's Name: | David Mitchell Durden |
| Proposed Analysis: | David is a University librarian at the University of Maryland that has agreed to join our research efforts with the ADNI database (outlined below). Specifically, David is going to be a co-investigator who will aid in the management and organization of data as well as advise on how to best use the data to ensure we adhere to all the stipulations of the data user agreement. Our group is broadly interested on healthy cognitive aging and addressing the risk factors that contribute to pathological cognitive decline in conditions such as Alzheimer’s disease. Specifically, in this project we are looking to employ statistical models to identify predictors of cognitive change with age in a longitudinal sample. To do this, we hope to use valuable neuropsychological, biospecimen results, neuroimaging, genetic, and demographic (including medical) data housed in the ADNI database. Deidentified data will be used to explore any relationships and interactions among variables of interest that can affect the rate of cognitive decline as well as other exploratory analyses that include sex and racial differences. Results from analyses done by our group will be shared with the ADNI Data Sharing and Publications Committee (DPC) with the intention to publish if approved. |
