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: | Fedal Saini |
| Institution: | King's College London |
| Department: | Forensic and Neurodevelopmental Science |
| Country: | |
| Proposed Analysis: | We’re interested to study the white matter neurodevelopment in Down syndrome and the potential impact of Alzheimer disease on such development. Furthermore, we’re interested in testing possible association between the structural and the functional connectivity profile in the same population. In our lab, we’re currently collecting MRI data on Down syndrome population and the ADNI-3 data will be used as a control data. Finally, we aim to employ a new tractography method developed within our lab to dissect white matter tracts, and therefore, this would be a valuable opportunity for us to test the efficacy of it. Specifically, we will use voxel-wise analyses techniques to investigate the integrity status of the whole-brain white matter. Based on the results, we will employ tractography method to isolate selected white matter tracts. To analyse the data, we will run a general linear model with mass-univariate linear regression with the diffusion data as dependent variable and the demographic/clinical and fMRI data as regressor. Post-hoc analyses will be used to test to explore the main effects and multiple comparison corrections will be implemented. |
| Additional Investigators | |
| Investigator's Name: | Andre Strydom |
| Proposed Analysis: | We’re interested to study the white matter neurodevelopment in Down syndrome and the potential impact of Alzheimer disease on such development. Furthermore, we’re interested in testing possible association between the structural and the functional connectivity profile in the same population. In our lab, we’re currently collecting MRI data on Down syndrome population and the ADNI-3 data will be used as a control data. Finally, we aim to employ a new tractography method developed within our lab to dissect white matter tracts, and therefore, this would be a valuable opportunity for us to test the efficacy of it. Specifically, we will use voxel-wise analyses techniques to investigate the integrity status of the whole-brain white matter. Based on the results, we will employ tractography method to isolate selected white matter tracts. To analyse the data, we will run a general linear model with mass-univariate linear regression with the diffusion data as dependent variable and the demographic/clinical and fMRI data as regressor. Post-hoc analyses will be used to test to explore the main effects and multiple comparison corrections will be implemented. |
| Investigator's Name: | Flavio Dell'Acqua |
| Proposed Analysis: | We’re interested to study the white matter neurodevelopment in Down syndrome and the potential impact of Alzheimer disease on such development. Furthermore, we’re interested in testing possible association between the structural and the functional connectivity profile in the same population. In our lab, we’re currently collecting MRI data on Down syndrome population and the ADNI-3 data will be used as a control data. Finally, we aim to employ a new tractography method developed within our lab to dissect white matter tracts, and therefore, this would be a valuable opportunity for us to test the efficacy of it. Specifically, we will use voxel-wise analyses techniques to investigate the integrity status of the whole-brain white matter. Based on the results, we will employ tractography method to isolate selected white matter tracts. To analyse the data, we will run a general linear model with mass-univariate linear regression with the diffusion data as dependent variable and the demographic/clinical and fMRI data as regressor. Post-hoc analyses will be used to test to explore the main effects and multiple comparison corrections will be implemented. |
