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 …

Resting-state fMRI was first described by Biswal et al in 1995 and has since then been
widely used in both healthy subjects and patients with various neurologic, neurosurgical …

A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete
neurobiological “atoms”. Resting-state functional magnetic resonance imaging (rs-fMRI) …

Major depressive disorder (MDD) is common and disabling, but its neuropathophysiology
remains unclear. Most studies of functional brain networks in MDD have had limited …

Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …

Brain imaging efforts are being increasingly devoted to decode the functioning of the human
brain. Among neuroimaging techniques, resting-state fMRI (R-fMRI) is currently expanding …

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

Neuroscientists are amassing the large-scale datasets needed to study individual
differences and identify biomarkers. However, measurement reliability within individual …

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 …

Major depressive disorder (MDD) affects multiple large-scale functional networks in the
brain, which has initiated a large number of studies on resting-state functional connectivity in …