Social interactions are a crucial part of human life. Understanding the neural underpinnings
of social interactions is a challenging task that the hyperscanning method has been trying to …

The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …

Sleep stage classification is essential for sleep assessment and disease diagnosis.
Although previous attempts to classify sleep stages have achieved high classification …

Sleep stage classification is essential for sleep assessment and disease diagnosis.
However, how to effectively utilize brain spatial features and transition information among …

MEG offers dynamic and spectral resolution for resting-state connectivity which is
unavailable in fMRI. However, there are a wide range of available network estimation …

Objective. Graph theory and network science tools have revealed fundamental mechanisms
of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not …

The goal of this paper is to examine existing methods to study the “Human Brain
Connectome” with a specific focus on the neurophysiological ones. In recent years, a new …

Multichannel electroencephalogram (EEG) is an array signal that represents brain neural
networks and can be applied to characterize information propagation patterns for different …

Rhythmic neural network activity has been broadly linked to behavior. However, it is unclear
how membrane potentials of individual neurons track behavioral rhythms, even though …

Brain connectivity can be estimated through many analyses applied to
electroencephalography (EEG) data. However, substantial heterogeneity in the …