Background Once considered mere noise, fMRI-based functional connectivity has become a
major neuroscience tool in part due to early studies demonstrating its reliability. These …

The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …

Psychiatric disorders encompass complex aberrations of cognition and affect and are
among the most debilitating and poorly understood of any medical condition. Current …

Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to
delineate individual-specific brain networks. A major question is whether individual-specific …

Recent studies have suggested that the brain's structural and functional networks (ie,
connectomics) can be constructed by various imaging technologies (eg, EEG/MEG; …

To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …

The development of human cognition results from the emergence of coordinated activity
between distant brain areas. Network science, combined with non-invasive functional …

Depression is a multifactorial disorder with clinically heterogeneous features involving
disturbances of mood and cognitive function. Noninvasive neuroimaging studies have …

Network science provides theoretical, computational, and empirical tools that can be used to
understand the structure and function of the human brain in novel ways using simple …

The network architecture of functional connectivity within the human brain connectome is
poorly understood at the voxel level. Here, using resting state functional magnetic …