The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain map** approaches to multivariate predictive models …

A central aim of human neuroscience is understanding the neurobiology of cognition and
behavior. Although we have made significant progress towards this goal, reliance on group …

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

Recent years have seen a surge of research on variability in functional brain connectivity
within and between individuals, with encouraging progress toward understanding the …

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 …

Purpose We combined a large longitudinal neuroimaging dataset that includes children who
do and do not stutter and a whole-brain network analysis in order to examine the intra-and …

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 …

Background Classic psychedelic-induced ego dissolution involves a shift in the sense of self
and a blurring of the boundary between the self and the world. A similar phenomenon is …

Individual differences across a variety of cognitive processes are functionally associated
with individual differences in intrinsic networks such as the default mode network (DMN) …