Ongoing Investigations

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: Gerda Andringa
Institution: University College Roosevelt, Utrecht University
Department: Science
Proposed Analysis: This project aims at determining if MRI scans from the ADNI study can be classified in three groups; healthy controls, mild cognitive impairment, and Alzheimer's Disease, using advanced data processing techniques, for example independent component analysis and support vector machine, as suggested by Yang and colleagues (2011). Undergraduate students will perform the analysis on the ADNI data based on a published paper, to validate the results from this paper. Performing this analysis is a wonderful hands-on learning experience for undergraduate students combining mathematics and cognitive science. In addition, replication of papers in this field will strengthen our knowledge of image analysis in neurodegenerative disorders. Yang, W., Lui, R. L., Gao, J. H., Chan, T. F., Yau, S. T., Sperling, R. A., & Huang, X. (2011). Independent component analysis-based classification of Alzheimer's disease MRI data. Journal of Alzheimer's disease, 24(4), 775-783. doi: 10.3233/JAD-2011-101371
Additional Investigators  
Investigator's Name: Richard van den Doel
Proposed Analysis: See earlier description; classification of MRI images from the ADNI study based on advanced data processing methods such as independent component analysis and support vector machine.