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Active Investigations

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: Ying Hu
Institution: West China Hospital, Sichuan University
Department: Department of Radiology
Country:
Proposed Analysis: We have two proposed analyses. First of all, Our study aim to analyze the differences in structural and functional magnetic resonance imaging among normal people, mild cognitive impairment (MCI), and Alzheimer's disease (AD), and to compare longitudinal data in the ADNI database to explore the value of magnetic resonance imaging in the early identification of AD. Then, we intend to explore the value of multimodal data in characterizing early Alzheimer's disease and to construct an AD risk assessment model for the elderly which helping to formulate AD prevention strategies.
Additional Investigators  
Investigator's Name: Xingquan Xie
Proposed Analysis: We have two proposed analyses. First of all, Our study aim to analyze the differences in structural and functional magnetic resonance imaging among normal people, mild cognitive impairment (MCI), and Alzheimer's disease (AD), and to compare longitudinal data in the ADNI database to explore the value of magnetic resonance imaging in the early identification of AD. Then, we intend to explore the value of multimodal data in characterizing early Alzheimer's disease and to construct an AD risk assessment model for the elderly which helping to formulate AD prevention strategies.
Investigator's Name: Xingquan Xie
Proposed Analysis: We have two proposed analyses. First of all, Our study aim to analyze the differences in structural and functional magnetic resonance imaging among normal people, mild cognitive impairment (MCI), and Alzheimer's disease (AD), and to compare longitudinal data in the ADNI database to explore the value of magnetic resonance imaging in the early identification of AD. Then, we intend to explore the value of multimodal data in characterizing early Alzheimer's disease and to construct an AD risk assessment model for the elderly which helping to formulate AD prevention strategies.