The purpose of this manuscript is to provide an introduction to resting-state functional
magnetic resonance imaging (RS-fMRI) and to review the current application of this new and …

… resting-state brain activity, we found that resting-state activity correlates with WM task-evoked
brain activation/deactivation. Further, the rest–… the rest–task relationship. In addition, both …

… (resting state fMRI). During recent years, a few signal processing schemes have been
suggested to analyze the resting state … In this work we applied short time frequency analysis and …

… Resting-state networks (RSNs) within association cortices include … cortex show tightly
correlated time courses at rest, but these … Resting-state functional connectivity maps illustrate the …

… seems capable of analyzing resting-state studies (21). In this study, we apply tensor-PICA
to resting-state fMRI data with the aim of identifying resting coherencies that are consistent …

… cortical reorganization of resting state networks already exist in … resting state networks may
also be modified early in the disease course. In our study we therefore compared resting state …

… The resting-state data from HCP consists of four resting state scans of 1200 time points
each with a sampling rate of 720 ms. Not only will this sampling rate enable us to test whether …

… Resting state functional magnetic resonance imaging (fMRI) has been used to study brain
… The objective of this work is to reliably compute resting state network (RSN) topography in …

… , 39 , we simulated resting state and four distinct task states, simulated the transformation
of the simulated neural signals to fMRI data (see Methods), and estimated resting-state FC (Fig. …

… the undefined cognitive state of the brain in the “resting-state”… later in this section), resting-state
BOLD signal-based brain … .106, 107 In recent years, resting-state BOLD-fMRI has gained …