Sex Classification Based on the Functional Connectivity Patterns of the Language Network: A Resting State fMRI Study.

ABSTRACT: Research on sex differences in the brain is essential for a better understanding of how the brain develops and ages, and how neurological and psychiatric conditions can impact men and women differently. While numerous studies have focused on sex differences in brain structures, few have examined the characteristics of functional networks, particularly the language network. Although previous research suggests similar overall language performance across sexes, differences may still exist in the brain networks that underlie language processing. In addition, prior studies on sex differences in language have predominantly relied on task-based fMRI, which may fail to capture subtle differences in underlying functional activity. In this study, we applied a machine learning approach to classify pa

SUBMITTER: Lajoie X 

PROVIDER: S-EPMC12790092 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature