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: | Stefano Sensi |
| Institution: | University D'Annunzio Chieti-Pescara and University of California Irvine |
| Department: | Neuroscience and Imaging and Neurology |
| Country: | |
| Proposed Analysis: | Network segregation in MCI and healthy aging controls Rationale and background: Healthy adult aging is an active process characterized by progressive degradation/modulation of several brain structures and functions. A key feature of dys/functional age-related brain changes is represented by the remodulation of network activity (Yeo B.T. et al., 2014; Power D. et al., 2011; Seeley et al., 2009). Indeed, recent functional MRI findings that evaluated system segregation of resting state networks indicated that the phenomenon undergoes an age-dependent decrease and that the de-segregation correlates with the development of less effective long term memory performances (M.Y. Chan et al. 2014). The study set the stage for further investigation on the status of node segregation upon Mild Cognitive Impairment (MCI) and/or early stages of Alzheimer disease. To that aim, we would like to test the idea that MCI individuals show a more pronounced level of de-segregation compared to age-matched healthy controls. Employing the same methodological approach described by Chan and colleagues we would like to access fMRI scans of a sizable amount of MCI and age-matched healthy elderly subjects present in the ADNI database. We therefore would like to gain access to the ADNI database to obtain the fMRI of MCI subjects and healthy control subjects with an age range between 60 and 89. |
| Additional Investigators |
