• Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
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.