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: | Xiangnan Kong |
| Institution: | University of Illinois at Chicago |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | The analysis of brain connectivity using functional magnetic resonance imaging (fMRI) is an active area of both neuroscience and computer science research. Conventional techniques have focused on finding the most significant areas of brain activities which show different patterns within Normal Control and patient groups. We plan to study the resting-state fMRI images and map them to brain networks data. We then plan to use recent techniques in computer science, especially graph theory, to analyze the network data which has a great promise on improving prediction accuracies of automatic classifications on brain images. We plan to develop advanced data mining algorithms based on graph mining methods to analysis the significant connectivity patterns within brain images. This study is a joint research of both computer science dept. at UIC and Radiology Dept. at Northwestern Univ. |
| Additional Investigators |