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: | Judith Harrison |
| Institution: | Newcastle University |
| Department: | Institute of Translational and Clinical Research |
| Country: | |
| Proposed Analysis: | Alzheimer’s disease Diffusion imaging hArmonisation ProjecT (ADAPT): A protocol for a harmonised multi-site diffusion MRI study in Alzheimer’s Disease Registration: PROSPERO CRD42020193794 dMRI studies are particularly heterogeneous. Variability between and within dMRI centres may significantly impact dMRI data (Vollmar et al. 2010; Grech-Sollars et al. 2015; Nencka et al. 2018; Zhu et al. 2019). This variability arises from several factors including hardware, reconstruction methods, acquisition parameters and image quality (Alexander et al. 2006; Ni et al. 2006; Jones 2010b; Vollmar et al. 2010). Furthermore, there are significant differences in pre-processing and analysis techniques. In the traditional meta-analysis, statistical tests are conducted between groups separately for each study, and results are then weighted in combination. However, dMRI data is often not directly comparable between studies. In recent years, a number of techniques have been developed to ‘harmonise’ data across multiple sites to be able to effectively compare them. To our knowledge, no studies have yet performed a quantitative dMRI data harmonisation, including data from ADNI and other suitable studies, to quantify white matter changes in AD and MCI brains across all available datasets. This will be the largest study of its kind. Aims and Objectives This study aims to: i) Conduct a systematic search and quality assessment of dMRI studies that compare AD or MCI with healthy controls ii) Perform data harmonisation, state-of-the-art processing and analysis of available data iii) Perform a meta-analysis of published results or a narrative systematic review depending on data availability iv) Assess the relationship between dMRI measures and cognitive impairment v) Evaluate the effect of potential confounders, such as acquisition parameters and patient characteristics Primary research question: In patients with Alzheimer’s disease and Mild Cognitive Impairment, how do diffusion MRI differences in white matter microstructure compare to healthy controls? Secondary research question: In patients with Alzheimer’s disease and Mild Cognitive Impairment, is there a correlation between cognitive impairment and white matter microstructure changes as quantified by diffusion MRI? |
| Additional Investigators |
