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: | Megan Nelson |
| Institution: | Barrow Neurological Institute |
| Department: | Division of Neuroimaging Research |
| Country: | |
| Proposed Analysis: | This study aims to examine longitudinal changes in white matter hyperintensities (WMH) in male and female participants with Alzheimer’s disease (AD) and mild cognitive impairment (MCI), as well as in healthy controls. T1-weighted, T2-FLAIR, and multi-shell diffusion tensor imaging (DTI) images from the initial visit and the first- and second-year follow-ups will be downloaded from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. DTI images will undergo preprocessing that removes extracellular free water. A voxel-wise analysis will be performed on each set of DTI images. Both the preprocessing and the voxel-wise analysis will be performed with FSL from the FMRIB software library. The SPM12 LST Toolbox will be implemented for the calculation of WMH volume. Data will be analyzed between groups and across time using age, sex, and years of education as covariates. The neuroimaging results will be compared to the participants’ cognitive assessments, which will also be collected from the ADNI database. |
| Additional Investigators | |
| Investigator's Name: | Ashley Stokes |
| Proposed Analysis: | This study aims to examine longitudinal changes in white matter hyperintensities (WMH) in male and female participants with Alzheimer’s disease (AD) and mild cognitive impairment (MCI), as well as in healthy controls. T1-weighted, T2-FLAIR, and multi-shell diffusion tensor imaging (DTI) images from the initial visit and the first- and second-year follow-ups will be downloaded from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. DTI images will undergo preprocessing that removes extracellular free water. A voxel-wise analysis will be performed on each set of DTI images. Both the preprocessing and the voxel-wise analysis will be performed with FSL from the FMRIB software library. The SPM12 LST Toolbox will be implemented for the calculation of WMH volume. Data will be analyzed between groups and across time using age, sex, and years of education as covariates. The neuroimaging results will be compared to the participants’ cognitive assessments, which will also be collected from the ADNI database. |
| Investigator's Name: | Elizabeth Keeling |
| Proposed Analysis: | This study aims to examine longitudinal changes in white matter hyperintensities (WMH) in male and female participants with Alzheimer’s disease (AD) and mild cognitive impairment (MCI), as well as in healthy controls. T1-weighted, T2-FLAIR, and multi-shell diffusion tensor imaging (DTI) images from the initial visit and the first- and second-year follow-ups will be downloaded from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. DTI images will undergo preprocessing that removes extracellular free water. A voxel-wise analysis will be performed on each set of DTI images. Both the preprocessing and the voxel-wise analysis will be performed with FSL from the FMRIB software library. The SPM12 LST Toolbox will be implemented for the calculation of WMH volume. Data will be analyzed between groups and across time using age, sex, and years of education as covariates. The neuroimaging results will be compared to the participants’ cognitive assessments, which will also be collected from the ADNI database. |
