A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity

Functional magnetic resonance imaging (fMRI) has been implemented widely to study brain connectivity. In the context of fMRI, independent component analysis (ICA) is a powerful tool, which extracts patterns from the data without requiring prior knowledge. Recently, time-varying connectivity analysis has emerged as an important measure to uncover essential knowledge within the network. In this study, we propose a new framework that combines group...