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: | Ruichen Yan |
| Institution: | Zhejiang University |
| Department: | CBEIS |
| Country: | |
| Proposed Analysis: | Mild cognitive impairment (MCI) is considered to be a state between Alzheimer's disease and age-matched healthy normal people, and is clinically manifested as abnormal memory, cognition and other functions. Such diseases pose a major threat to human health, so the diagnosis and treatment of this disease is of great significance. There is a direct correlation between the basic properties of functional brain networks of this type of neurological disease and their abnormal topological properties. Through the functional brain network, the characteristic changes of abnormal brain neural networks can be fully analyzed. In this way, for this disease, people proposed a method to analyze and compare the characteristics and structure of the brain space of the object to assess the condition of the object. The purpose of this project is to mine the brain structure characteristics of patients with cognitive dysfunction on the basis of a large number of EEG datasets, so as to determine their neurospatial targets, further improve the understanding of the brain spatial mechanism and functional brain network of the disease, and experiment with a software with the ability to distinguish dementia. The significance of this research is to improve the understanding of the brain-space mechanism of cognitive dysfunction, promote the ability to use brain-space intelligent analysis methods to evaluate diseases, and effectively improve the diagnosis level of neurological diseases. |
| Additional Investigators |
