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: | Patrick Pruitt |
| Institution: | Oregon Health and Science University |
| Department: | Neurology |
| Country: | |
| Proposed Analysis: | We propose to use the ADNI-3 sample to determine the extent to which aging effect in default mode network functional connectivity is independent of variability in perfusion, in cognitively normal older adults. Resting-state fMRI data will undergo initial quality control for motion using MRIQC, and will then be preprocessed through fMRI-PREP (with T1 and T2 images used to facilitate segmentation). ASL data will be processed using ExploreASL (using T1 images for normalization and FLAIR images to account for white matter hyperintensities in perfusion calculation). Average within-in network DMN functional connectivity will be calculated in CONN toolbox. We will first determine effect of age on within-network DMN functional connectivity (controlling for gender as a nuisance covariate). Then, to achieve our study objective, we will include grey matter perfusion as a covariate in a regression model, to determine whether aging effect on FC persists when controlling for perfusion. Finally, we will test a mediation model, with perfusion as a mediator of the relationship between age and DMN FC, to quantify the extent to which effect of age on DMN FC can be explained by individual differences in grey matter perfusion. |
| Additional Investigators |
