Recent advances in imaging and tracing technology provide increasingly detailed
reconstructions of brain connectomes. Concomitant analytic advances enable rigorous …

Network control theory (NCT) is a simple and powerful tool for studying how network
topology informs and constrains the dynamics of a system. Compared to other structure …

Imaging technologies are increasingly used to generate high-resolution reference maps of
brain structure and function. Comparing experimentally generated maps to these reference …

Technological and data sharing advances have led to a proliferation of high-resolution
structural and functional maps of the brain. Modern neuroimaging research increasingly …

Complex systems, composed at the most basic level of units and their interactions, describe
phenomena in a wide variety of domains, from neuroscience to computer science and …

Dynamical brain state transitions are critical for flexible working memory but the network
mechanisms are incompletely understood. Here, we show that working memory …

Resting-state functional connectivity is used throughout neuroscience to study brain
organization and to generate biomarkers of development, disease, and cognition. The …

Human imaging studies have shown that spontaneous brain activity exhibits stereotypic
spatiotemporal reorganization in awake, conscious conditions with respect to minimally …

The mechanisms linking the brain's network structure to cognitively relevant activation
patterns remain largely unknown. Here, by leveraging principles of network control, we show …

The ongoing stream of human consciousness relies on two distinct cortical systems, the
default mode network and the dorsal attention network, which alternate their activity in an …