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 …

Altered resting-state functional connectivity (rsFC) has been noted in large-scale functional
networks in attention-deficit/hyperactivity disorder (ADHD). However, identifying consistent …

Since initial reports regarding the impact of motion artifact on measures of functional
connectivity, there has been a proliferation of participant-level confound regression methods …

Whole-brain fMRI signals are a subject of intense interest: variance in the global fMRI signal
(the spatial mean of all signals in the brain) indexes subject arousal, and psychiatric …

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) …

Participant motion during functional magnetic resonance image (fMRI) acquisition produces
spurious signal fluctuations that can confound measures of functional connectivity. Without …

Major depressive disorder (MDD) is a psychiatric disorder characterized by abnormal resting
state functional connectivity (rsFC) in various neural networks and especially in default …

Autism spectrum disorder (ASD) has been associated with a reduction in resting state
functional connectivity, though this assertion has recently been challenged by reports of …

Temporal fluctuations in functional Magnetic Resonance Imaging (fMRI) have been
profitably used to study brain activity and connectivity for over two decades. Unfortunately …

Functional MRI based on blood oxygenation level-dependent (BOLD) contrast is well
established as a neuroimaging technique for detecting neural activity in the cortex of the …