One of the most controversial practices in resting-state fMRI functional connectivity studies is
whether or not to regress out the global average brain signal (GS) during artifact removal�…

Spontaneous fluctuations of resting state functional MRI (rsfMRI) have been widely used to
understand the macro-connectome of the human brain. However, these fluctuations are not�…

The goal of resting-state functional magnetic resonance imaging (fMRI) is to investigate the
brain's functional connections by using the temporal similarity between blood oxygenation�…

Recent resting-state functional connectivity fMRI (RS-fcMRI) research has demonstrated that
head motion during fMRI acquisition systematically influences connectivity estimates despite�…

Brain function in “resting” state has been extensively studied with functional magnetic
resonance imaging (FMRI). However, drawing valid inferences, particularly for group�…

One of the most controversial procedures in the analysis of resting-state functional magnetic
resonance imaging (rsfMRI) data is global signal regression (GSR): the removal, via linear�…

The blood-oxygenation level dependent (BOLD) functional magnetic resonance imaging
(fMRI) signal is commonly used to assess functional connectivity across brain regions�…

Resting‐state networks have become an important tool for the study of brain function. An
ultra‐fast imaging technique that allows to measure brain function, called Magnetic�…

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

There have been many interpretations of functional connectivity and proposed measures of
temporal correlations between BOLD signals across different brain areas. These�…