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: | Josh McGeown |
| Institution: | Matai Medical Research Institute |
| Department: | Clinical Research |
| Country: | |
| Proposed Analysis: | The objective of this project is to provide proof of concept that delivering a flexible community-based intervention that supports individuals with early-stage dementia to learn a novel skill, can increase neural reserve at a time when it is expected to decay. This study will adopt a novel design, incorporating both prospectively collected data and data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. We will use ADNI to create a representative control dataset of early-stage Alzheimer's patients receiving standard care, to assess the effectiveness of the intervention received by the prospective group to maintain or increase reserve. Using ADNI demographic and clinical data we will download a dataset from a representative matched sample of participants who received standard AD care. Matching criteria will include: AD severity, age, sex, education, body mass index, medications, smoking status, diabetes status, APOE gene status, and use of a 3T MRI scanner. The prospective participants will be enrolled in the study for a total of six months during which time they will complete a baseline pre-intervention assessment (TP0), a three-month intervention period, a post-intervention assessment (TP1), and a retention assessment (TP2; three months after TP1). The prospective participants will undergo standard clinical assessments and a multi-modal imaging protocol including structural MRI, fMRI, and DTI. These timepoints and outcome measures are supported by previous research and coincide with ADNI time intervals at baseline – TP0, three months – TP1, and 6 months – TP2. The analysis will employ a linear mixed-effect model with a group (intervention or ADNI) and timepoint (TP0, TP1, TP2) as fixed effects and participant ID as a random effect. This analysis will control for individual differences at baseline and reveal whether intervention mediated changes in reserve across timepoints differ significantly from what would be expected for patients receiving standard care. This work will be performed at Mātai Medical Research Institute, a recently established medical imaging institute in New Zealand founded. Mātai was founded and directed by Dr Samantha Holdsworth who is an internationally recognised medicical physicist who developed new methods for diagnosing neurological disorders during her time at Stanford University. Mātai has global collaborations with universities and scientists with experitise in medical imaging and post-processing. |
| Additional Investigators |
