Main content
Cardiometabolic risk factors associated with brain age and accelerate brain ageing
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: In this mixed cross-sectional and longitudinal study including 1062 datasets from 790 healthy individuals (mean (range) age = 46.7 (18-94) years, 54% women), we investigated cardiometabolic risk factors and health indicators including anthropometric measures, lifestyle factors, and blood biomarkers in relation to brain structure using MRI-based morphometry and diffusion tensor imaging (DTI). We performed tissue specific brain age prediction using machine learning and performed Bayesian multilevel modelling to assess changes in each CMR over time, their respective association with brain age gap (BAG), and their interaction effects with time and age on the tissue-specific BAGs.
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.