Background Once considered mere noise, fMRI-based functional connectivity has become a
major neuroscience tool in part due to early studies demonstrating its reliability. These …

To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …

Estimates of functional connectivity derived from resting-state functional magnetic resonance
imaging (rs-fMRI) are sensitive to artefacts caused by in-scanner head motion. This …

The human resting-state is characterized by spatially coherent brain activity at a low
temporal frequency. The default mode network (DMN), one of so-called resting-state …

A main goal in translational neuroscience is to identify neural correlates of psychopathology
(“biomarkers”) that can be used to facilitate diagnosis, prognosis, and treatment. This goal …

Resting-state functional near infrared spectroscopy (fNIRS) scanning has attracted
considerable attention in stroke rehabilitation research in recent years. The aim of this study …

Human brain connectivity yields significant potential as a noninvasive biomarker. Several
studies have used fMRI-based connectivity fingerprinting to characterize individual patterns …

Fluctuations in blood oxygenation and flow are widely used to infer brain activity during
resting-state functional magnetic resonance imaging (fMRI). However, there are strong …

The employment of graph theory to analyze spontaneous fluctuations in resting state BOLD
fMRI data has become a dominant theme in brain imaging studies and neuroscience …

Mapping individual differences in brain function has been hampered by poor reliability as
well as limited interpretability. Leveraging patterns of brain‐wide functional connectivity (FC) …