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

Modelling the human brain as a complex network has provided a powerful mathematical
framework to characterize the structural and functional architectures of the brain. In the past …

How the brain computes accurate estimates of our self-motion relative to the world and our
orientation relative to gravity in order to ensure accurate perception and motor control is a …

Biomarkers in whichever modality are tremendously important in diagnosing of disease,
tracking disease progression and clinical trials. This applies in particular for disorders with a …

The interrelationships between pathological processes and emerging clinical phenotypes in
Alzheimer's disease (AD) are important yet complicated to study, because the brain is a …

Networks of interconnected nodes have long played a key role in Cognitive Science, from
artificial neural networks to spreading activation models of semantic memory. Recently …

Studies have demonstrated that the clinical manifestations of Alzheimer's disease (AD) are
associated with abnormal connections in either functional connectivity networks (FCNs) or …

Background We investigated identifying patients with mild cognitive impairment (MCI) who
progress to Alzheimer's disease (AD), MCI converter (MCI-C), from those with MCI who do …

The study of brain networks by resting-state functional magnetic resonance imaging (rs-
fMRI) is a promising method for identifying patients with dementia from healthy controls …

Objective: In the cognitive and clinical neurosciences, the past decade has been marked by
dramatic growth in a literature examining brain “connectivity” using noninvasive methods …