… is widely applied to characterize resting-state fMRI connectivity patterns. The biological
plausibility of … structure of functional connectivity using fMRI data acquired at rest. Furthermore, a …

… of fMRI precludes determining whether functional connectivity … and resting-state fMRI to test
the general hypothesis that resting-state functional connectivity reflects structural connectivity…

… PICA to extract resting fluctuations and apply the technique to fMRI resting data in order to
test a set of important hypotheses about the structure of resting-state connectivity in the human …

… resonance imaging (fMRI) recorded in 33 healthy subjects during rest. We constructed …
robust markers of network organization using graph metrics derived from fMRI data at rest. …

… describes an efficient estimation of resting state connectivity. … in group differences—as
opposed to state or set-dependent … the effective connectivity from resting state fMRI time series, …

… results, there are several features of resting-state fMRI that make it a particularly attractive …
First, compared with modular representations of traditional fMRI, functional connectivity …

… the connectivity … connectivity measures derived from resting-state fMRI for individual subjects
and to assess the between-subject variation in healthy volunteers of functional connectivity …

… Techniques assessing functional connectivity, originally applied to BOLD FMRI data alongside
studies of model-driven, task-evoked activation, have also proven useful for resting-state …

… confound removal should increase confidence in functional connectivity results, however,
we must be aware of two caveats. The first is that cleanup methods may result in a variable …

… resting-state functional connectivity reflects the repeated history of co-activation between
brain regions. To this end, we review resting-state fMRI … ’s resting-state functional architecture …