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: | Christian Rubbert |
| Institution: | University Dusseldorf, Medical Faculty |
| Department: | Department of Diagnostic and Interventional Radiol |
| Country: | |
| Proposed Analysis: | Several commercial, free-to-use and Open Source software approaches are available to aid in detecting and quantifying brain volume changes. Depending on the underlying approach, individual brain scans are usually compared to a normal cohort. In most cases, the subject under investigation is matched to the normal cohort, usually considering age and sex as well as potentially other factors, such as the scanner model. The need for high-quality, standardized normal cohorts, well matched to the local population, is commonly acknowledged in these approaches. However, it is not yet known, how many normal subjects are needed in a normal cohort to facilitate consistent atrophy estimation by such approaches. Additionally, the effect of using different normal cohorts on the diagnostic reliability of automatic atrophy estimation has so far not been systematically studied. The current study therefore has two objectives. Firstly, we aim to establish the aforementioned minimum number of subjects needed for consistent brain atrophy estimation when using age- and sex-specific normal templates. Secondly, the effect of using different normal cohorts on detecting regional atrophy patterns is evaluated. |
| Additional Investigators | |
| Investigator's Name: | Julian Caspers |
| Proposed Analysis: | Co-Investigator on the proposed study: Several commercial, free-to-use and Open Source software approaches are available to aid in detecting and quantifying brain volume changes. Depending on the underlying approach, individual brain scans are usually compared to a normal cohort. In most cases, the subject under investigation is matched to the normal cohort, usually considering age and sex as well as potentially other factors, such as the scanner model. The need for high-quality, standardized normal cohorts, well matched to the local population, is commonly acknowledged in these approaches. However, it is not yet known, how many normal subjects are needed in a normal cohort to facilitate consistent atrophy estimation by such approaches. Additionally, the effect of using different normal cohorts on the diagnostic reliability of automatic atrophy estimation has so far not been systematically studied. The current study therefore has two objectives. Firstly, we aim to establish the aforementioned minimum number of subjects needed for consistent brain atrophy estimation when using age- and sex-specific normal templates. Secondly, the effect of using different normal cohorts on detecting regional atrophy patterns is evaluated. |
