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: | Haşim Gezegen |
| Institution: | Istanbul University, Faculty of Medicine |
| Department: | Neurology |
| Country: | |
| Proposed Analysis: | The aim of this research is to investigate the association of data-driven white matter hyperintensity (WMH) spatial signatures with distinct cerebral small vessel disease (CSVD) etiologies and dementia prognosis. We will use the Alzheimer's Disease Neuroimaging Initiative (ADNI) data, which includes MRI images, genetics, cognitive tests, CSF and blood biomarkers of patients with different stages of cognitive impairment and dementia. We will apply voxel-based spectral clustering analysis to identify spatially distinct WMH distribution patterns on aligned WMH probability maps. We will then evaluate the associations of these WMH spatial patterns with vascular risk factors, amyloid-β PET, and imaging biomarkers of cerebral amyloid angiopathy (CAA), characterizing different forms of CSVD. We will also use linear regression models to investigate whether WMH spatial distribution influences cognitive impairment and dementia prognosis. We hypothesize that data-driven WMH spatial patterns reflect discrete underlying etiologies including arteriolosclerosis, CAA, Alzheimer's disease (AD), and normal aging, and that WMH spatial signatures may serve as etiology-specific imaging markers, helping to resolve WMH heterogeneity, identify the dominant underlying pathologic process, and improve prediction of clinical-relevant trajectories that influence cognitive decline. |
| Additional Investigators |
