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: | Jake Qualls |
| Institution: | Arkansas State University |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | An analysis of the algorithms and computational techniques utilized in the papers "Identification of Discriminative Brain Imaging and Genomic Associations: An Alzheimer's Disease Study" (http://dx.doi.org/10.1016/j.jalz.2016.06.359) and "Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort" (http://dx.doi.org/10.1016/j.neuroimage.2010.01.042). |
| Additional Investigators | |
| Investigator's Name: | Jason Causey |
| Proposed Analysis: | Collaboration with J. Qualls on implementing novel machine learning approaches for detecting structural abnormalities among AD diagnosis categories. Techniques are being explored for processing and registering MRI data for participants with cognitively normal, mild, and severe dementia related diagnoses. |
| Investigator's Name: | Alan Kronberger |
| Proposed Analysis: | Current PhD student providing assistance with algorithm development and data incorporation.. |
| Investigator's Name: | Christopher Saldivar |
| Proposed Analysis: | Current PhD student providing assistance with algorithm development and data incorporation. |
| Investigator's Name: | Jonathan Stubblefield |
| Proposed Analysis: | PhD/MD assistance with algorithm development. |
