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

Over the last years, a surge of empirical studies converged on complexity-related measures
as reliable markers of consciousness across many different conditions, such as sleep …

Theoretical advances in the science of consciousness have proposed that it is concomitant
with balanced cortical integration and differentiation, enabled by efficient networks of …

Disorders of consciousness (DOC) are an important but still underexplored entity in
neurology. Novel electroencephalography (EEG) measures are currently being employed …

Resting-state EEG study of comatose patients: a connectivity and frequency analysis to find
differences between vegetative and minimally conscious states - PMC Back to Top Skip to …

Granger causality (G-causality) is increasingly employed as a method for identifying directed
functional connectivity in neural time series data. However, little attention has been paid to …

Recently, neuroimaging technologies have been developed as important methods for
assessing the brain condition of patients with disorders of consciousness (DOC). Among …

In this narrative review, we focus on the role of quantitative EEG technology in the diagnosis
and prognosis of patients with unresponsive wakefulness syndrome and minimally …

The last 10 years witnessed a considerable increase in our knowledge of brain function in
survivors to severe brain injuries with disorders of consciousness (DOC). At the same time, a …

Electroencephalographic activity in the context of disorders of consciousness is a swiss knife
like tool that can evaluate different aspects of cognitive residual function, detect …