rsfMRI-based Brain Entropy is negatively correlated with Gray Matter Volume and Surface Area

Abstract

In recent years, brain entropy (BEN) has been ossociated with a number of neurocognitive, biological, and sociodemographic variables. However, its link with brain morphology is still unknown. In this study, we use resting-state fMRI (rsfMRI) data to estimate BEN maps and investigate their associations with three metrics of brain morphology: gray matter volume (GMV), surface area (SA), and cortical thickness (CT). Separate analyses will be performed on BEN maps derived from four distinct rsfMRI runs, and using both a voxelwise and a regions of interest (ROIs) approach. Our findings consistently showed that lower BEN (i.e., higher temporal coherence of brain activity) was related to increased GMV and SA in the lateral frontal and temporal lobes, inferior parietal lobules, and precuneus. We hypothesize that lower BEN and higher SA might both reflect higher brain reserve as well as increased information processing capacity.