The ability to discriminate signal from noise plays a key role in the analysis and
interpretation of functional magnetic resonance imaging (fMRI) measures of brain activity …

The global signal is widely used as a regressor or normalization factor for removing the
effects of global variations in the analysis of functional magnetic resonance imaging (fMRI) …

Time-resolved 'dynamic'over whole-period 'static'analysis of low frequency (LF) blood-
oxygen level dependent (BOLD) fluctuations provides many additional insights into the …

The human brain is a complex dynamic system capable of generating a multitude of
oscillatory waves in support of brain function. Using fMRI, we examined the amplitude of …

While researchers have extensively characterized functional connectivity between brain
regions, the characterization of functional homogeneity within a region of the brain …

We use functional magnetic resonance imaging (fMRI) to analyze neural responses to
natural auditory stimuli. We characterize the fMRI time series through the shape of the voxel …

The intrinsic organizational structure of the brain is reflected in spontaneous brain
oscillations. Its functional integration and segregation hierarchy have been discovered in …

For many years, neurobiological theories have emphasized the importance of neuronal
oscillations in the emergence of brain function. At the same time, clinical studies have shown …

The blood–oxygen level dependent (BOLD) signals measured by functional magnetic
resonance imaging (fMRI) are contaminated with noise from various physiological …

Connectivity of the prefrontal cortex (PFC) matures through adolescence, coinciding with
emergence of adult executive function and top‐down inhibitory control over behavior …