Sex differences in normal age trajectories of functional brain networks

摘要: Resting-state functional magnetic resonance image (rs-fMRI) is increasingly used to study brain networks. Nevertheless, variability in these networks due factors such as sex and aging not fully understood. This explored differences normal age trajectories of resting-state (RSNs) using a novel voxel-wise measure connectivity, the intrinsic connectivity distribution (ICD). Males females showed differential patterns changing large-scale RSNs during from early adulthood late middle-age. In some networks, default-mode network, males both decreases with age, albeit at different rates. other fronto-parietal divergent age. Main effects were found many same regions showing sex-related aging. Finally, robust choice preprocessing strategy, global signal regression. Our findings resolve discrepancies literature, especially respect trajectory default mode, which can be explained by our observed interactions between Overall, results indicate that show for females. Characterizing on are critical first steps understanding organization human brain.