• 목록

• 페이스북 공유
• 트위터 공유

NeuroImage, Volume 328, 2026, 121782,

ISSN 1053-8119,

https://doi.org/10.1016/j.neuroimage.2026.121782.

(https://www.sciencedirect.com/science/article/pii/S105381192600100X)

Abstract: Systematic investigations into the lateralized human brain have revealed a bivariate functional architecture that underpins distinct cognitive processes. This architecture manifests through inter- and intra-hemispheric lateralization, captured respectively by neural integration and segregation. In this study, we conducted a comprehensive evaluation of multiple quantitative laterality metrics in resting-state fMRI connectivity, using conceptual models to illustrate how inter- and intra-hemispheric correlations shape functional lateralization. We further highlight the critical influence of factors such as correlation sign, correlation coefficient distribution, and statistical thresholding methodology on the interpretation of functional connectivity-based laterality indices. Our findings show that, in our dataset, laterality metrics based on positive-only functional connectivity with a lenient connection-level threshold most consistently capture established relationships between functional brain lateralization and performance in language and visuospatial domains.

Keywords: Brain Asymmetry; Functional Laterality; Resting-State fMRI; Integration; Segregation