ADNI | Active Investigations

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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:	ge xiaoyan
Institution:	Jinzhou medical university
Department:	School of Public Health
Country:
Proposed Analysis:	Mild cognitive impairment (MCI) is a transitional stage between normal cognition and dementia, and the individuals with MCI are clinically heterogeneous. Existing studies have used a single longitudinal marker or baseline measurements of multiple markers for predicting for clinical changes of MCI patients, but the performance of the model is poor. The goal of this study is to develop optimal prognostic models for exploring different screening strategies of AD, from the perspective of functional data analysis.
Additional Investigators
Investigator's Name:	cui kai
Proposed Analysis:	Mild cognitive impairment (MCI) is a transitional stage between normal cognition and dementia, and the individuals with MCI are clinically heterogeneous. Existing studies have used a single longitudinal marker or baseline measurements of multiple markers for predicting for clinical changes of MCI patients, but the performance of the model is poor. The goal of this study is to develop optimal prognostic models for exploring different screening strategies of AD, from the perspective of functional data analysis.
Investigator's Name:	li xiaozhe
Proposed Analysis:	Mild cognitive impairment (MCI) is a transitional stage between normal cognition and dementia, and the individuals with MCI are clinically heterogeneous. Existing studies have used a single longitudinal marker or baseline measurements of multiple markers for predicting for clinical changes of MCI patients, but the performance of the model is poor. The goal of this study is to develop optimal prognostic models for exploring different screening strategies of AD, from the perspective of functional data analysis.