Graph theory is now becoming a standard tool in system-level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network structure does not …

In functional MRI (fMRI), dynamic functional connectivity (dFC) typically refers to fluctuations
in measured functional connectivity on a time scale of seconds. This perspective piece …

State-dependent neural correlations can be understood from a neural coding framework.
Noise correlations—trial-to-trial or moment-to-moment covariability—can be interpreted only …

Background Traditional Chinese opera, such as Pingju, requires actors to master
sophisticated performance skills and cultural knowledge, potentially influencing brain …

Tai Chi (TC) practice has been shown to improve both cognitive and physical function in
older adults. However, the neural mechanisms underlying the benefits of TC remain unclear …

Intrinsic neural timescales (INT) reflect the time window of neural integration within a brain
region and can be measured via resting-state functional magnetic resonance imaging (rs …

In graph theory,“multilayer networks” represent systems involving several interconnected
topological levels. One example in neuroscience is the stratification of connections between …

Voxel hierarchy on dynamic brain graphs is produced by k core percolation on functional
dynamic amplitude correlation of resting-state fMRI. Directed graphs and their …

Schizophrenia is a debilitating neuropsychiatric disorder that affects approximately 1% of the
population and poses a major public health problem. Despite over 100 years of study, the …

The brain is a complex system with dynamic network changes. Prior studies in theoretical
neuroscience have demonstrated that state-dependent neural correlations can be …