Low image sampling rates used in resting state functional magnetic resonance imaging (rs-
fMRI) may cause aliasing of the cardiorespiratory pulsations over the very low frequency�…

The influence of the global average signal (GAS) on functional-magnetic resonance imaging
(fMRI)–based resting-state functional connectivity is a matter of ongoing debate. The global�…

In conventional resting-state functional MRI (R-fMRI) analysis, functional connectivity is
assumed to be temporally stationary, overlooking neural activities or interactions that may�…

Functional MRI (fMRI) can be applied to study the functional connectivity of the human brain.
It has been suggested that fluctuations in the blood oxygenation level-dependent (BOLD)�…

The cerebral cortex is anatomically organized at many physical scales starting at the level of
single neurons and extending up to functional systems. Current functional magnetic�…

Resting-state functional magnetic resonance imaging (RS-fMRI) is a technique used to
investigate the spontaneous correlations of blood-oxygen-level-dependent signals across�…

In the last few decades, brain functional connectivity (FC) has been extensively assessed
using resting-state functional magnetic resonance imaging (RS-fMRI), which is able to�…

In the past decade, resting-state functional MRI (R-fMRI) measures of brain activity have
attracted considerable attention. Based on changes in the blood oxygen level-dependent�…

Resting-state functional magnetic resonance imaging (RS-FMRI) holds the promise of
revealing brain functional connectivity without requiring specific tasks targeting particular�…

Component analysis is a powerful tool to identify dominant patterns of interactions in
multivariate datasets. In the context of fMRI data, methods such as principal component�…