In recent years there has been a shift in focus from the study of local, mostly task-related
activation to the exploration of the organization and functioning of large-scale structural and …

Functional connectivity (FC) and graph measures provide powerful means to analyze
complex networks. The current study determines the inter-subject-variability using the …

The extreme complexity of the brain naturally requires mathematical modeling approaches
on a large variety of scales; the spectrum ranges from single neuron dynamics over the …

Abstract The weighted Phase Lag Index (wPLI) and the weighted Symbolic Mutual
Information (wSMI) represent two robust and widely used methods for MEG/EEG functional …

Introduction: General anesthesia induces unconsciousness along with functional changes in
brain networks. Considering the essential role of hub structures for efficient information …

This study aims to investigate the difference in cortical signal characteristics between the left
and right foot imaginary movements and to improve the classification accuracy of the …

Recently, electroencephalography (EEG) signals have shown great potential for emotion
recognition. Nevertheless, multichannel EEG recordings lead to redundant data …

Idiopathic generalised epilepsy (IGE) has a genetic basis. The mechanism of seizure
expression is not fully known, but is assumed to involve large-scale brain networks. We …

Visual hallucinations are a common feature of Lewy body dementia. Previous studies have
shown that visual hallucinations are highly specific in differentiating Lewy body dementia …

Introduction: Sleep is fundamental for cognitive homeostasis, especially in senior
populations since clearance of amyloid beta (key in the pathophysiology of Alzheimer's …