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Principal Investigator  
Principal Investigator's Name: Shaopei Ma
Institution: Renmin University of China
Department: School of Statistic
Country:
Proposed Analysis: We propose a new method to deal with functional data in a more efficient way. To be specific, the new method modify the classic principal component analysis and can apply to wider relative fields. So we sincerely want to use the ADNI data to explore the association between the longitudinal trajectories of ADAS-Cog and FDG-PET scans. Thank you very much for helping us!
Additional Investigators  
Investigator's Name: Maozai Tian
Proposed Analysis: We use MFPCA to explore how longitudinal trajectories of a neuropsychological score (ADAS-Cog, a current standard for monitoring AD progression) covary with FDG-PET scans at baseline. The latter are used to assess the glucose metabolism in the brain, which is tightly coupled with neuronal function. As the brain images might be predictive of subsequent cognitive decline, common patterns between these two sources of information would be highly relevant.