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: | Hudson Buck |
Institution: | Santa Casa de Sao Paulo School of Medical Sciences |
Department: | Physiological Sciences |
Country: | |
Proposed Analysis: | The current literature on the pathophysiology of Alzheimer’s disease seems to support the view that chronic diseases may play an important role as risk factors for the onset and severity of disease progression. However, a clear link on how different chronic diseases affect AD progression has never been shown. At the same time, the variety of biological processes that have been described as mechanisms for AD suggest that the disease may actually be a range of diseases that share common clinical symptoms; with different patterns of progression in the brain. Having that said, we believe ADNI’s database may play a deciding role for establishing a link between the disease’s different types of progression and chronic diseases. Through access to the data, we intend to investigate the existence of these different patterns in the development of Alzheimer's disease associated to chronic diseases such as diabetes and hypertension. The proposed method is to separate subjects by their clinical history into groups, according to their chronic disease, and track their brain function and structure through time with ADNI's images, mainly MRI and pet-scans. Hopefully being able to find profiles of disease progression that are common inside the groups and differ between them. |
Additional Investigators | |
Investigator's Name: | João Rodrigues |
Proposed Analysis: | The current literature on the pathophysiology of alzheimer’s disease seems to support the view that chronic diseases may play an important role as risk factors for the onset and severity of disease progression. However, a clear link on how different chronic diseases affect AD progression has never been shown. At the same time, the variety of biological processes that have been described as mechanisms for AD suggest that the disease may actually be a range of diseases that share common clinical symptoms; with different patterns of progression in the brain. Having that said, we believe ADNI’s database may play a deciding role for establishing a link between the disease’s different types of progression and chronic diseases. Through access to the data, we intend to investigate the existence of these different patterns in the development of Alzheimer's disease associated to chronic diseases such as diabetes and hypertension. The proposed method is to separate subjects by their clinical history into groups, according to their chronic disease, and track their brain function and structure through time with ADNI's images, mainly MRI and pet-scans. Hopefully being able to find profiles of disease progression that are common inside the groups and differ between them. |
Investigator's Name: | Pedro Riedel |
Proposed Analysis: | The current literature on the pathophysiology of alzheimer’s disease seems to support the view that chronic diseases may play an important role as risk factors for the onset and severity of disease progression. However, a clear link on how different chronic diseases affect AD progression has never been shown. At the same time, the variety of biological processes that have been described as mechanisms for AD suggest that the disease may actually be a range of diseases that share common clinical symptoms; with different patterns of progression in the brain. Having that said, we believe ADNI’s database may play a deciding role for establishing a link between the disease’s different types of progression and chronic diseases. Through access to the data, we intend to investigate the existence of these different patterns in the development of Alzheimer's disease associated to chronic diseases such as diabetes and hypertension. The proposed method is to separate subjects by their clinical history into groups, according to their chronic disease, and track their brain function and structure through time with ADNI's images, mainly MRI and pet-scans. Hopefully being able to find profiles of disease progression that are common inside the groups and differ between them. |