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: | Alfredo Lucas |
| Institution: | University of Pennsylvania |
| Department: | Bioengineering |
| Country: | |
| Proposed Analysis: | Brain connectivity data can come from functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), as well as intracranial and scalp electrophysiology (EEG). Among the most used representations for studying and analyzing this type of data we find network-based statistics. However, as datasets get larger and multi-center studies become more common, effective strategies for combining connectivity data across sites remains a challenge. The goal of this project is to leverage existing data harmonization strategies, such as NeuroCombat and NeuroCovBat, in order to better understand how to harmonize functional connectivity analyses across different data sources and to increase the generalizability of findings from these studies. The proposed method will be validated using both simulated and real-world functional connectivity data from multiple sites. |
| Additional Investigators |
