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Behavioral, pharmacological, optogenetic, electrophysiological and computational analyses suggest that the anterior dorsal striatum is a causal node in the network responsible for evidence accumulation.

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.

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.

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

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

Simultaneous measurements of neuronal activity and fMRI signals in the rat brain have shed new light on the origins of resting-state fMRI connectivity networks.

Distinct brain states govern resting state functional architecture revealed by neurophysiologically defined simultaneous optic-fiber-based calcium recordings and task-free functional magnetic resonance imaging (fMRI) in rats.

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

Atypical intrinsic neural timescales in the sensory cortex and caudate were associated with local grey matter volume, and linked with the severity of autism.

Building on previous work (Stagg et al., 2014), it is shown that transcranial direct current stimulation modulates local GABA concentration and functional connectivity in the human motor cortex.