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: | Ying-Chia Lin |
| Institution: | NYU School Of Medicine |
| Department: | Radiology |
| Country: | |
| Proposed Analysis: | Alzheimer's disease (AD) effects on in-vivo structure brain image procedures could be used to better identify individuals at very early potential risk from adults who did not have any existing cognitive diagnosis. We will correlate with our department AD study required on non-invasive technique for the assessment of CSF clearance pathways by using dynamic sodium (23Na) MRI, Ultra-short echo time (UTE) proton (1H) T2* MRI, and diffusion-weighted images (DWIs). To do so, we first obtained cross-sectional age effects for each structural feature using DWIs data from a selected portion of the Human Connectome Project Aging (HCP-A) cohort. After age detrending, we weighted AD structural degeneration with patterns quantified from DWIs data of the Alzheimer's Disease Neuroimaging Initiative. Our major research focus will be to follow CSF mediate brain clearance pathways and consider white-matter rewiring may play a role in mapping the brain in AD. Nowadays, as technology advances, allowing us to follow narrow paths to extract meaningful circuits, to predict their unique individual behavior from connectome fingerprinting, and to understand tiny twists and turns in parts of the brain. These can provide new insights into the structural connectivity of the brain and help to predict very early potential risk factors on AD and a set of techniques will enable clinicians to measure. |
| Additional Investigators |
