Over the past three decades, research from the field of social neuroscience has identified a
constellation of brain regions that relate to social cognition. Although these studies have …

New schemes to recover signals defined in the nodes of a graph are proposed. Our focus is
on reconstructing bandlimited graph signals, which are signals that admit a sparse …

Education research—for example, on character, stereotype threat, and identity-based
motivation—demonstrates that social and emotional factors influence students' cognitive …

Metaphors are widely used to convey abstract concepts and emotions in the arts and
everyday life. Neuroimaging research suggests that dynamic interactions among large-scale …

The modular structure of brain networks supports specialized information processing,
complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in …

The human brain is able to flexibly adapt its information processing capacity to meet a
variety of cognitive challenges. Recent evidence suggests that this flexibility is reflected in …

Dynamic functional connectivity reflects the spatiotemporal organization of spontaneous
brain activity in health and disease. Dynamic functional connectivity may be susceptible to …

Multivariate functional connectivity analyses of neuroimaging data have revealed the
importance of complex, distributed interactions between disparate yet interdependent brain …

Human brain connectivity is complex. Graph-theory-based analysis has become a powerful
and popular approach for analyzing brain imaging data, largely because of its potential to …

The severity of post‐stroke aphasia and the potential for recovery are highly variable and
difficult to predict. Evidence suggests that optimal estimation of aphasia severity requires the …