Highlights•Functional connectivity-based models predict individual differences in attentional
abilities.•Time-varying functional connectivity predicts changes in attentional states during …

Resting-state functional connectivity has provided substantial insight into intrinsic brain
network organization, yet the functional importance of task-related change from that intrinsic …

The ability to sustain attention differs across people and changes within a single person over
time. Although recent work has demonstrated that patterns of functional brain connectivity …

Recent work shows that models based on functional connectivity in large-scale brain
networks can predict individuals' attentional abilities. While being some of the first …

Dynamic functional connectivity (DFC) aims to maximize resolvable information from
functional brain scans by considering temporal changes in network structure. Recent work …

The mechanisms for how large-scale brain networks contribute to sustained attention are
unknown. Attention fluctuates from moment to moment, and this continuous change is …

Recent advances in neuroimaging methods and analysis have led to an expanding body of
research that investigates how large-scale brain network organization dynamically adapts to …

Recent developments in functional connectivity research have expanded the scope of
human neuroimaging, from identifying changes in regional activation amplitudes to detailed …

Attention is central to many aspects of cognition, but there is no singular neural measure of a
person's overall attentional functioning across tasks. Here, using original data from 92 …

Although we typically talk about attention as a single process, it comprises multiple
independent components. But what are these components, and how are they represented in …