The brain must dynamically integrate, coordinate, and respond to internal and external
stimuli across multiple time scales. Non-invasive measurements of brain activity with fMRI …

Spontaneous fluctuations in activity in different parts of the brain can be used to study
functional brain networks. We review the use of resting-state functional MRI (rfMRI) for the …

Resting state functional connectivity is defined in terms of temporal correlations between
physiologic signals, most commonly studied using functional magnetic resonance imaging …

Understanding how neural systems integrate, encode, and compute information is central to
understanding brain function. Frequently, data from neuroscience experiments are …

In recent years, some substantial advances in understanding human (and nonhuman) brain
organization have emerged from a relatively unusual approach: the observation of …

Recent years have shown the critical importance of inter-regional neural network
connectivity in supporting healthy brain function. Such connectivity is measurable using …

Magnetoencephalography (MEG) is a sophisticated tool which yields rich information on the
spatial, spectral and temporal signatures of human brain function. Despite unique potential …

Oscillatory activity in the brain has been associated with a wide variety of cognitive
processes including decision making, feedback processing, and working memory. The high …

Resting state functional MRI (R-fMRI) studies have shown that slow (< 0.1 Hz), intrinsic
fluctuations of the blood oxygen level dependent (BOLD) signal are temporally correlated …

In recent years functional neuroimaging techniques such as fMRI, MEG, EEG and PET have
provided researchers with a wealth of information on human brain function. However none …