This manuscript is the second part of a two-part description of the current status of
understanding of the network function of the brain in health and disease. We start with the …

Delirium is an acute neuropsychiatric syndrome characterized by altered levels of attention
and awareness with cognitive deficits. It is most prevalent in elderly hospitalized patients …

This work proposes the application of a new electroencephalogram (EEG) signal processing
tool-the lacsogram-to characterize the Alzheimer's disease (AD) activity and to assist on its …

The combination of TMS and EEG has the potential to capture relevant features of
Alzheimer's disease (AD) pathophysiology. We used a machine learning framework to …

The human brain can be modelled as a complex networked structure with brain regions as
individual nodes and their anatomical/functional links as edges. Functional brain networks …

Objective. Emerging evidence shows that cognitive deficits in Alzheimer's disease (AD) are
associated with disruptions in brain functional connectivity. Thus, the identification of …

Objective The purpose of this study is to characterize functional connectivity changes in mild
cognitive impaired Alzheimer's disease (MCI-AD) under resting and cognitive task …

Tools available in graph theory have been recently applied to signals recorded from the
human brain, where its cognitive functions are linked to topological properties of connectivity …

Disorders of consciousness (DoC) happen frequently in brain injuries. Automated DoC
detection is desirable because conventional clinical examinations, typically behavioural …

Background Dementia-related disorders have been an age-long challenge to the research
and healthcare communities as their various forms are expressed with similar clinical …