Stroke data from: Robust dynamic brain coactivation states estimated in individuals

A confluence of evidence indicates that brain functional connectivity (FC)
is not static but rather dynamic. Capturing transient network interactions
in the individual brain requires a technology that offers sufficient
within-subject reliability. Here, we introduce an individualized
network-based dynamics analysis technique and demonstrate that it is
reliable in detecting subject-specific brain states during both resting
state and a cognitively challenging language task. Moreover, we evaluated
the extent to which brain states showed hemispheric asymmetries and how
various phenotypic factors such as handedness and gender might influence
network dynamics. We discovered a right-lateralized brain state that
occurred more frequently in men than in women, and more frequently in
right-handed versus left-handed individuals. Lastly, we demonstrated
longitudinal brain state changes in 42 patients with subcortical stroke
over 6 months. Taken together, this approach could quantify
subject-specific dynamic brain states and has potential for use in both
basic and clinical neuroscience research.