Graph theoretical approach has proved an effective tool to understand, characterize, and
quantify the complex brain network. However, much less attention has been paid to methods …

Alzheimer's disease (AD) is the leading form of dementia worldwide. AD disrupts neuronal
pathways and thus is commonly viewed as a network disorder. Many studies demonstrate …

Emotional communication between parents and children is crucial during early life, yet little
is known about its neural underpinnings. Here, we adopt a dual connectivity approach to …

Electroencephalography is frequently used for diagnostic evaluation of various brain-related
disorders due to its excellent resolution, non-invasive nature and low cost. However, manual …

Emerging evidences suggest that cognitive deficits in individuals with mild cognitive
impairment (MCI) are associated with disruptions in brain functional connectivity (FC). This …

Alzheimer9s disease (AD) is associated with changes in large-scale functional brain
network organization. Individuals with AD exhibit less segregated resting-state brain …

Emerging evidence indicates that cognitive deficits in Alzheimer's disease (AD) are
associated with disruptions in brain network. Exploring alterations in the AD brain network is …

Along with the study of brain activity evoked by external stimuli, the past two decades
witnessed an increased interest in characterizing the spontaneous brain activity occurring …

Increasing evidence links disorders of consciousness (DOC) with disruptions in functional
connectivity between distant brain areas. However, to which extent the balance of brain …

Graph neural network (GNN) models are increasingly being used for the classification of
electroencephalography (EEG) data. However, GNN-based diagnosis of neurological …