Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …

Network neuroscience has emphasized the connectional properties of neural elements–
cells, populations, and regions. This has come at the expense of the anatomical and …

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

Resting-state functional connectivity is typically modeled as the correlation structure of
whole-brain regional activity. It is studied widely, both to gain insight into the brain's intrinsic …

Progress in scientific disciplines is accompanied by standardization of terminology. Network
neuroscience, at the level of macroscale organization of the brain, is beginning to confront …

Functional connectivity (FC) profiles contain subject-specific features that are conserved
across time and have potential to capture brain–behavior relationships. Most prior work has …

Group-level studies do not capture individual differences in network organization, an
important prerequisite for understanding neural substrates shaping behavior and for …

Acupuncture has been widely used in stroke and post-stroke rehabilitation (PSR), but there
is no literature on the bibliometric analysis of acupuncture for stroke. This study aimed to …

Most neuroimaging studies of post-stroke recovery rely on analyses derived from standard
node-centric functional connectivity to map the distributed effects in stroke patients. Here …

Many studies have shown that the human endocrine system modulates brain function,
reporting associations between fluctuations in hormone concentrations and brain …