Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …

Over the past two decades, the study of resting-state functional magnetic resonance imaging
has revealed that functional connectivity within and between networks is linked to cognitive …

Reporting white matter findings in voxel-wise neuroimaging studies typically lacks specificity
in terms of brain connectivity. Therefore, the purpose of this work was to develop an …

In recent years, the field of functional neuroimaging has moved away from a pure
localisationist approach of isolated functional brain regions to a more integrated view of …

Abstract Idiopathic Normal Pressure Hydrocephalus (iNPH)—the leading cause of reversible
dementia in aging—is characterized by ventriculomegaly and gait, cognitive and urinary …

Electroencephalography (EEG) data entail a complex spatiotemporal structure that reflects
ongoing organization of brain activity. Characterization of the spatial patterns is an …

The resting‐state human brain is a dynamic system that shows frequency‐dependent
characteristics. Recent studies demonstrate that coactivation pattern (CAP) analysis can …

Integrating the underlying brain circuit's structural and functional architecture is required to
explore the functional organization of cognitive networks. In that regard, we recently …

Brain activation map** using functional magnetic resonance imaging (fMRI) has been
extensively studied in brain gray matter (GM), whereas in large disregarded for probing …

Functional magnetic resonance imaging (fMRI) has been widely employed to study stroke
pathophysiology. In particular, analyses of fMRI signals at rest were directed at quantifying …