Mitochondrial energy metabolism is post-transcriptionally regulated through an interplay between long and short non-coding RNAs.

Multi-modal structural data fusion questions the specificity of fMRI-behavior associations by providing strong evidence relating human brain structure to a wide range of behavioral measures previously associated to functional connectivity.

MR1T cells are human polyclonal T cells endowed with diverse effector functions in response to endogenous antigens presented by MHC-class 1-related molecule, MR1.

Connectivity network matrices, as estimated with masking or dual regression against group-level parcellations, reflect little or no unique cross-subject information that is not also captured by spatial topographical variability.

Genes play an important role in determining the strength of functional connectivity in the human brain, and seem to outweigh the contribution from the developmental environment.

The estimation of functional connectivity network matrices from resting state fMRI is driven by a combination of spatial and temporal factors in the presence of spatially overlapping network structure.

Brain recovery after injury can be predicted based on its activity and structure, which may allow us to understand why some brain injuries lead to permanent loss of cognitive function, while others do not.

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

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

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.