Recent years have shown great merits in utilizing neuroimaging data to understand brain
structural and functional changes, as well as its relationship to different neurodegenerative …

Background Recent advances in multivariate pattern recognition have fostered the search
for reliable neuroimaging‐based biomarkers in psychiatric conditions, including …

Functional connectivity (FC) networks based on resting-state functional magnetic imaging (rs-
fMRI) are reliable and sensitive for brain disorder diagnosis. However, most existing …

Analysis of functional connectivity networks (FCNs) derived from resting-state functional
magnetic resonance imaging (rs-fMRI) has greatly advanced our understanding of brain …

Functional brain networks (FBNs), which are used to portray interactions between different
brain regions, have been widely used to identify potential biomarkers of neurological and …

Background Most studies have detected abnormalities of static topological characteristics in
major depressive disorder (MDD). However, whether dynamic alternations in brain topology …

Artificial intelligence-based segmentation models can assist the early-stage detection of
lung COVID-19 infections or lesions from medical images with higher efficiency versus …

Brain networks are commonly used to identify cognitive neurobehavioral and brain
conscious disorders. Most of the studies on state networks focus on the characterization and …

Major Depressive Disorder (MDD) is a debilitating, complex mental condition with unclear
mechanisms hindering diagnostic progress. Research links MDD to abnormal brain …

Introduction Dynamic functional connectivity (dFC), which can capture the abnormality of
brain activity over time in resting-state functional magnetic resonance imaging (rs-fMRI) …