Ontology highlight
ABSTRACT: Background
An aging society has increased rates of late onset Alzheimer disease dementia (ADD), the most common form of age-related dementia. This neurodegenerative disease disproportionately affects women.Methods
We use data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to examine sex differences in cortical thickness (CT) and memory performance. Analyses of covariance (ANCOVA) models were used to examine effects of sex and diagnosis (DX) on CT and verbal memory. For regions demonstrating significant interaction effects of sex and DX, we tested whether sex moderated cognition-thickness relationships. We used machine learning as a complementary method to explore multivariate CT differences between women and men.Results
Women demonstrated greater CT in
SUBMITTER: Cieri F
PROVIDER: S-EPMC8864917 | biostudies-literature | 2022 Feb
REPOSITORIES: biostudies-literature