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 …

Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …

Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich
structure of brain activity in absence of a task or stimulus. A great effort has been dedicated …

Resting-state fMRI was first described by Biswal et al in 1995 and has since then been
widely used in both healthy subjects and patients with various neurologic, neurosurgical …

Recent studies have suggested that the brain's structural and functional networks (ie,
connectomics) can be constructed by various imaging technologies (eg, EEG/MEG; …

Identification of intrinsic brain activity differences and similarities between major depression
(MDD) and bipolar disorder (BD) is necessary. However, results have not yet yielded …

Autism spectrum disorders (ASDs) represent a formidable challenge for psychiatry and
neuroscience because of their high prevalence, lifelong nature, complexity and substantial …

Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe
human brain function during task state and resting state. However, the existing analysis …

Resting state functional connectivity reveals intrinsic, spontaneous networks that elucidate
the functional architecture of the human brain. However, valid statistical analysis used to …

Functional connectomics is one of the most rapidly expanding areas of neuroimaging
research. Yet, concerns remain regarding the use of resting-state fMRI (R-fMRI) to …