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 …

Over the past 20 years, neuroimaging has become a predominant technique in systems
neuroscience. One might envisage that over the next 20 years the neuroimaging of …

Functional magnetic resonance imaging (fMRI) studies typically collapse data from many
subjects, but brain functional organization varies between individuals. Here we establish …

Multimodal evidence suggests that brain regions accumulate information over timescales
that vary according to anatomical hierarchy. Thus, these experimentally defined “temporal …

Independent Component Analysis (ICA) is one of the most popular techniques for the
analysis of resting state FMRI data because it has several advantageous properties when …

Measurement of correlations between brain regions (functional connectivity) using blood
oxygen level dependent (BOLD) fMRI has proven to be a powerful tool for studying the …

The mining of huge databases of resting-state brain activity recordings represents state of
the art in the assessment of endogenous neuronal activity—and may be a promising tool in …

Most studies of resting-state functional connectivity using fMRI employ methods that assume
temporal stationarity, such as correlation and data-driven decompositions computed across …

Characterization of large‐scale brain networks using blood‐oxygenation‐level‐dependent
functional magnetic resonance imaging is typically based on the assumption of network …

The last 15 years have witnessed a steady increase in the number of resting-state functional
neuroimaging studies. The connectivity patterns of multiple functional, distributed, large …