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: | Min Zhang |
| Institution: | Arizona State Unversity |
| Department: | Industrial Engineering |
| Country: | |
| Proposed Analysis: | Diagnosis of Alzheimer’s disease (AD) at the early stage of the disease development is of great 7 clinical importance. Current clinical assessment that relies primarily on cognitive measures proves 8 low sensitivity and specificity. The fast growing neuroimaging techniques hold great promise. 9 Research so far has focused on single neuroimaging modalities. However, as different modalities 10 provide complementary measures for the same disease pathology, fusion of multi-modality data 11 may increase the statistical power in identification of disease-related brain regions. This is 12 especially true for early AD, at which stage the disease-related regions are most likely to be weak13 effect regions that are difficult to be detected from a single modality alone. In this research We want to apply deep learning method with Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) to identifies disease-related brain regions. |
| Additional Investigators |
