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: | Anees Abrol |
| Institution: | The Mind Research Network |
| Department: | Department of Psychology |
| Country: | |
| Proposed Analysis: | I am interested in conducting a multimodal analysis to identify key features of progression from MCI to AD. |
| Additional Investigators | |
| Investigator's Name: | Lei Wu |
| Proposed Analysis: | The study of human brain connectivity provides insights into the neurophysiological mechanism of brain function and its relationship to human behavior and cognition. Diffusion MRI-based structural connectivity measurement provides crucial yet complementary information to the conventional fMRI-based functional connectivity. Hence, we propose extending the Neuromark framework, which initially studied T1 MRI and resting-state fMRI connectivity, to NeuroMark-DTI, which investigates diffusion-based fiber structural connectivity for the ADNI dataset. The NeuroMark-DTI preprocessing and analysis framework will include preprocessing to level out the difference between various sequence setups and harmonize the data, a fully automated feature estimation and selection using group ICA, connectivity matrix ICA, tensor-based and tractography-based tracking, a data-driven fusion framework to utilize both structural connectivity and functional connectivity, and more advanced deep learning methods to trace intricate structures in ultra-high dimensional data. We propose implementing the NeuroMark-DTI framework to study Alzheimer’s disease in ADNI data and detect biomarkers/lesions in white matter microstructural connectivity in patients, providing a valuable aid to early detection. |
