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: | xiaosen li |
| Institution: | Wenzhou Institute, UCAS |
| Department: | AI |
| Country: | |
| Proposed Analysis: | Title: Investigating the Relationship Between Alzheimer's Disease and Cognitive Impairment Using ADNI Data Background: Alzheimer's disease (AD) is a degenerative brain disease that primarily affects memory and cognitive functions. Cognitive impairment is a common symptom in AD patients and can severely affect their quality of life. However, the relationship between AD and cognitive impairment is not fully understood. The AD Neuroimaging Initiative (ADNI) provides a rich dataset that can be used to investigate this relationship. Objectives: The main objective of this study is to examine the relationship between AD and cognitive impairment. Specifically, we aim to determine whether cognitive impairment is associated with the severity and progression of AD. Other objectives include identifying biomarkers and imaging features that can predict cognitive impairment in AD patients, and exploring potential therapeutic interventions that could mitigate cognitive decline in AD patients. Methods: We will utilize the extensive ADNI database, which includes clinical data, imaging features, genetics, and other biomarkers. We will perform a cross-sectional analysis of baseline data and a longitudinal analysis of follow-up data to examine the relationship between cognitive impairment and AD severity and progression. We will use advanced statistical methods to identify biomarkers and imaging features that can predict cognitive impairment in AD patients. Finally, we will review the scientific literature and explore the potential therapeutic interventions that could mitigate cognitive decline in AD patients. Expected Results: This study is expected to provide valuable insights into the complex relationship between AD and cognitive impairment. We hope to identify biomarkers and imaging features that can predict cognitive impairment in AD patients, which could aid in early diagnosis and treatment. Additionally, we hope to identify potential therapeutic interventions that could mitigate cognitive decline in AD patients, which could significantly improve their quality of life. Conclusion: The proposed study has significant potential to advance our understanding of the relationship between AD and cognitive impairment using the rich ADNI database. By identifying predictive biomarkers and potential therapeutic interventions, this study could significantly improve diagnosis, treatment, and ultimately, the quality of life of AD patients. |
| Additional Investigators |
