ADNI data is made available to researchers around the world. As such, there are many active research projects accessing and applying the shared ADNI data. To further encourage Alzheimer’s disease research collaboration, and to help prevent duplicate efforts, the list below shows the specific research focus of the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | ChengZhi Zhang |
| Institution: | Academy of Mathematics and Systems Science, Chinese Academy of Sciences |
| Department: | Institute of Applied Mathematics |
| Country: | |
| Proposed Analysis: | Functional connectivity is assumed to reflect functional interactions between the underlying brain regions. The concept of functional connectivity has become very important in the study of brain mechanisms underlying disturbed cognition in Alzheimer’s disease. There is strong support that a network perspective on the brain is required in order to understand higher brain functioning. We aimed to analyze the features and changes of brain networks in patients with Alzheimer’s disease. Structural and functional brain networks can be built and explored using graph theory. Graph theory provides models of complex networks in the brain, and allows one to better understand the relations between network structure and the processes taking place on those networks. Comprehensive and accurate data play an important role in the process of our research. Diversified data of ADNI would help us to build and analyze brain networks from a comprehensive perspective and level. |
| Additional Investigators |
