Modern network science has revealed fundamental aspects of normal brain-network
organization, such as small-world and scale-free patterns, hierarchical modularity, hubs and …

Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …

The electroencephalogram (EEG) is the most prominent means to study epilepsy and
capture changes in electrical brain activity that could declare an imminent seizure. In this …

Epilepsy is a very common neurological disease that has affected more than 65 million
people worldwide. In more than 30% of the cases, people affected by this disease cannot be …

Brain functioning is increasingly seen as a complex interplay of dynamic neural systems that
rely on the integrity of structural and functional networks. Recent studies that have …

The increasing power of computer technology does not dispense with the need to extract
meaningful information out of data sets of ever growing size, and indeed typically …

Normal brain functioning is presumed to depend upon interacting regions within large-scale
neuronal networks. Increasing evidence exists that interictal network alterations in focal …

Abnormalities of the brain network organization in focal epilepsy have been extensively
quantified. However, the extent and directionality of abnormalities are highly variable and …

We applied machine learning to diagnose epilepsy based on the fine-graded spectral
analysis of seizure-free (resting state) EEG recordings. Despite using unspecific …

Objective To gain insight in the underlying mechanism of reduced levels of consciousness
due to hypoactive delirium versus recovery from anesthesia, we studied functional …