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: | Salah Mekhalalati |
| Institution: | Carleton University |
| Department: | Cognitive Science |
| Country: | |
| Proposed Analysis: | The hippocampus is a folded structure, which has proved to be a challenge for neuroimaging techniques for investigating its subfields and their morphometry and volumes. I propose to investigate the morphometry of the hippocampus by examining its correlates of late-life depression and dementia with the recently developed HippUnfold, a novel computational modeler that can create such subregion models of which volumes can be measured in a two-dimensional space. The modeler will be utilized on the CBRAIN web-based platform to handle the use of large longitudinal datasets of neuroimaging data, including ADNI. The Cornell Scale for Depression in Dementia will be utilized as a measure of depression to separate the data between those who have concomitant disorders and those without. The relationship of depressive symptoms and dementia will be analyzed alongside with the volume of the subfields in the hippocampus with a principal components analysis with a repeated measures correlation over time. HippUnfold is novel in respect to its ability for visualization, morphometry, and parcellation and topologically-constrained areas that have been a hurdle with current neuroimaging modalities. This study will help with understanding the relationships between the variables of depression and dementia and their trajectories of structural changes in the hippocampus. Such findings may be useful for prognosis and as well as future studies investigating the histological characteristics of the hippocampus and its subfields. |
| Additional Investigators | |
| Investigator's Name: | John Anderson |
| Proposed Analysis: | The hippocampus is a folded structure, which has resulted in an ongoing hurdle in neuroimaging; estimating hippocampal subfield boundaries due to lower spatial resolution and lack of appropriate contrasts. I propose to investigate the morphometry of the hippocampus by examining its correlates of late-life depression and dementia on with the recently developed HippUnfold, a novel computational modeler that can create such subregion models of which volumes can be measured in a two-dimensional space. The modeler will be utilized on the CBRAIN6 web-based platform to handle the use of large longitudinal datasets of neuroimaging data, including ADNI. The Cornell Scale for Depression in Dementia will be utilized as a measure of depression to separate the data between those who have concomitant disorders and those without. The relationship of depressive symptoms and dementia will be analyzed alongside with the volume of the subfields in the hippocampus with a principal components analysis with a repeated measures correlation over time. This study will help with understanding the relationships between the variables of depression and dementia and their trajectories of structural changes in the hippocampus. Such findings may be useful for prognosis and as well as future studies investigating the histological characteristics of the hippocampus and its subfields. |
