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 …

Abstract See Nieuwhof and Helmich (doi: 10.1093/brain/awx267) for a scientific commentary
on this article. Parkinson's disease is a neurodegenerative disorder characterized by …

The brain is increasingly studied with graph theoretical approaches, which can be used to
characterize network topology. However, studies on brain networks have reported …

In recent years there has been a shift in focus from the study of local, mostly task-related
activation to the exploration of the organization and functioning of large-scale structural and …

It is well known that most brain disorders are complex diseases, such as Alzheimer's
disease (AD) and schizophrenia (SCZ). In general, brain regions and their interactions can …

Functional connectivity (FC) and graph measures provide powerful means to analyze
complex networks. The current study determines the inter-subject-variability using the …

Magnetoencephalography (MEG) records weak magnetic fields outside the human head
and thereby provides millisecond-accurate information about neuronal currents supporting …

The human brain is a large-scale network the function of which depends on dynamic
interactions between spatially distributed regions. In the rapidly evolving field of network …

Although frequency-specific network analyses have shown that functional brain networks
are altered in patients with Alzheimer's disease, the relationships between these frequency …