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: | Adeel Razi |
| Institution: | Monash University |
| Department: | Psychological Sciences |
| Country: | |
| Proposed Analysis: | Resting state fMRI studies examining functional connectivity degeneration in the default mode network (DMN) of Alzheimer’s disease (AD) sufferers have posited that comorbid depression in Alzheimer’s may exacerbate connectivity issues in the DMN of Alzheimer’s patients. However, functional connectivity is measured in terms of correlation, and is thus unable to resolve directionality of information flow. For a more mechanistic insight into how depression may disrupt the DMN in the context of Alzheimer’s, this study plans to: 1) utilize a dynamic causal modelling (DCM) framework to examine rs-fMRI images for a causal understanding of the impact that comorbid depression may have on DMN connectivity in Alzheimer’s patients. 2) To further informal causal mapping of depression specific functional networks, we will use diffusion imaging to constraint the possible functional model space. This will provide a very novel empirical structural-functional relationship of depression in AD. 3) Connectivity measures and global cognitive performance (e.g. MMSE) will also be related using general linear model. Data access required : 1) structural images, T1, T2, 2) resting state functional MRI, 3) Diffusion MRI, 4) Cognitive and clinical variables |
| Additional Investigators |
