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: | Xinyang Li |
| Institution: | Beijing Hospital |
| Department: | Radiology |
| Country: | |
| Proposed Analysis: | Alzheimer’s disease (AD) and Parkinson’s disease (PD) are two prevalent neurodegenerative diseases that can result in cognitive decline and dementia. Our previous investigations revealed alterations in cerebral blood flow perfusion and white matter integrity in Parkinson’s disease dementia (PDD) patients relative to PD patients without cognitive impairment. Given that cognitive impairment is a hallmark symptom of Alzheimer’s disease, our objective is to elucidate whether the underlying mechanisms driving cognitive decline in AD patients are analogous to those observed in PDD patients. Our research encompasses: Utilizing arterial spin labeling techniques to quantify cerebral perfusion in AD and PDD patients. Employing diffusion tensor imaging to assess white matter integrity in AD and PDD patients. Leveraging radiomics and deep learning methodologies to probe the relationship between cerebral perfusion, white matter integrity, and cognitive impairment in AD and PDD patients. The ADNI database will serve as an external validation cohort. This study aims to delineate the pathophysiological mechanisms underpinning cognitive decline in AD and PD patients, providing a foundation for the development of targeted therapeutic interventions. |
| Additional Investigators | |
| Investigator's Name: | Yaotian Tian |
| Proposed Analysis: | Alzheimer’s disease (AD) and Parkinson’s disease (PD) are two prevalent neurodegenerative diseases that can result in cognitive decline and dementia. Our previous investigations revealed alterations in cerebral blood flow perfusion and white matter integrity in Parkinson’s disease dementia (PDD) patients relative to PD patients without cognitive impairment. Given that cognitive impairment is a hallmark symptom of Alzheimer’s disease, our objective is to elucidate whether the underlying mechanisms driving cognitive decline in AD patients are analogous to those observed in PDD patients. Our research encompasses: Utilizing arterial spin labeling techniques to quantify cerebral perfusion in AD and PDD patients. Employing diffusion tensor imaging to assess white matter integrity in AD and PDD patients. Leveraging radiomics and deep learning methodologies to probe the relationship between cerebral perfusion, white matter integrity, and cognitive impairment in AD and PDD patients. The ADNI database will serve as an external validation cohort. This study aims to delineate the pathophysiological mechanisms underpinning cognitive decline in AD and PD patients, providing a foundation for the development of targeted therapeutic interventions |
