Coupling between the gastric rhythm and brain activity at rest reveals a novel resting-state network, characterized by delayed functional connectivity.

Using simultaneous recordings of electrophysiology, respiration, and resting-state fMRI, a respiration-associated neural network is identified.

Resting-state functional connectivity between core regions of fronto-temporal auditory networks can distinguish music transmitters from innovators.

Non-invasive MEG recordings reveal that patterns of spontaneous activity in the resting brain are shorter lived than previously thought.

In the brain at rest, the degree of coordinated activity within the motor network is inversely related to levels of the inhibitory transmitter GABA in primary motor cortex.

Low-frequency electrical waves in the stomach seem to be synchronised with the activity of a newly discovered resting-state network in the human brain.

The amyloid patterns overlap with the default-mode network, whereas the tau patterns overlap with distinct functional networks and are associated with a loss of anatomical connectivity and multiple cognitive functions.

Human fMRI experiments reveal differences in the propagation of spontaneous brain activity during sleep versus wakefulness.

Hybrid brain network models predict neurophysiological processes that link structural and functional empirical data across scales and modalities in order to better understand neural information processing and its relation to brain function.

Brain functional connectivity shows a neurobiological predisposition to social bonding, and network-wide changes occur as a result of cohabitation in the prairie vole.