Identifying Sex Differences in Resting-State unctional Networks: a Machine Learning Study

摘要

Background. Recently, there has been a growing interest in identifying sex differences in human brain function based on neuroimaging data. Sex differences have been documented across cognitive domains. A consistent finding is that men perform better on spatial tasks, whereas women outperform men on some verbal and memory tasks. The present study aimed at investigating sex differences underlying the neural activity in resting-state using functional magnetic resonance imaging (fMRI).