Technical advances in neuroimaging, notably in fMRI, have allowed distributed patterns of
functional connectivity to be mapped in the human brain with increasing spatiotemporal …

There is ample evidence of wave-like activity in the brain at multiple scales and levels. This
emerging literature supports the broader adoption of a wave perspective of brain activity …

Principal component analysis (PCA) is a dimensionality reduction method that is known for
being simple and easy to interpret. Principal components are often interpreted as low …

Spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals correlate
across distant brain areas, shaping functionally relevant intrinsic networks. However, the …

A central challenge of neuroscience is to elucidate how brain function supports
consciousness. Here, we combine the specificity of focal deep brain stimulation with fMRI …

Traveling waves and neural oscillation frequency gradients are pervasive in the human
cortex. While the direction of traveling waves has been linked to brain function and …

A balanced excitation-inhibition ratio (E/I ratio) is critical for healthy brain function. Normative
development of cortex-wide E/I ratio remains unknown. Here, we noninvasively estimate a …

Background The cerebral cortex is organized hierarchically along an axis that spans
unimodal sensorimotor to transmodal association areas. This hierarchy is often …

Previous studies have adopted an edge-centric framework to study fine-scale network
dynamics in human fMRI. To date, however, no studies have applied this framework to data …

A comprehensive neural model of language must accommodate four components:
representations, operations, structures and encoding. Recent intracranial research has …