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: | Alana Manson |
Institution: | University of Kansas Medical Center |
Department: | School of Nursing |
Country: | |
Proposed Analysis: | To our knowledge, no other studies have examined latent subtypes of risk profiles in MCI with AD etiology based on sex and clusters of diagnostic variables. If we can begin to understand how sociodemographic, clinical, cognitive, and biomarker variables combine to form subtypes of MCI with AD etiology, we may be able to better identify risk trajectories of decline. Therefore, the purpose of this study is to use latent class analysis in individuals with MCI due to AD to investigate if there are subtypes of risk profiles based on sex, sociodemographic, clinical, cognitive, and biomarker variables. Research questions include: 1) Among individuals with MCI with AD etiology, how do sociodemographic (age, education), clinical (CDR, functional assessment, subjective memory complaint, depressive symptoms), cognitive (global cognitive function, memory, executive function, language, visuospatial, attention/processing speed), and biomarker (hippocampal volume, APOE genotype) characteristics group by subtype? 2) To what extent do subtypes of MCI with AD etiology differ by sex? |
Additional Investigators |