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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: pei shuyue
Institution: Nanjing University of Aeronautics and Astronautics
Department: College of Computer Science and Technology
Country:
Proposed Analysis: Longitudinal analysis: ADNI collects data on participants over time, ranging from one year to over 10 years. Longitudinal analysis could include descriptive statistics over time, such as the mean and standard deviation of cognitive measures, brain volumes, or biomarker levels. Regression models could be used to analyze the rate of changes and the predictors of those changes. Machine learning methods: As with AIBL, machine learning algorithms could be used to identify patterns in the data to predict specific outcomes or risk factors. For example, researchers could develop machine learning models to help predict who is most likely to develop Alzheimer's Disease based on demographic information, cognitive scores, biomarkers, and neuroimaging data. Structural and functional connectivity analysis: ADNI collects multiple types of neuroimaging data, including structural MRI, functional MRI (fMRI), and positron emission tomography (PET) scans. These data can be used to analyze the connectivity patterns within and between regions in the brain. There are techniques such as graph theory or network analysis that could be used to provide insights into the disruptions of brain networks in the AD spectrum. Medication and clinical outcome analysis: Since ADNI is a clinical trial, it collects data on medication treatment, medical history, and clinical outcomes. Researchers could use statistical methods, such as regression analysis, to investigate whether or not certain medications are effective in slowing the progression of cognitive decline, and whether certain neurological symptoms, such as the presence of depressive symptoms, are associated with worse outcomes.
Additional Investigators