We present an approach for tracking fast spatiotemporal cortical dynamics in which we
combine white matter connectivity data with source-projected electroencephalographic (EEG) …

The functional organization of neural processes is constrained by the brain's intrinsic
structural connectivity, ie, the connectome. Here, we explore how structural connectivity can …

The human brain consists of specialized areas that flexibly interact to form a multitude of
functional networks. Complementary to this notion of modular organization, brain function has …

It is well-established that patterns of functional connectivity (FC) - measures of correlated
activity between pairs of voxels or regions observed in the human brain using neuroimaging - …

Recently, EEG recording techniques and source analysis have improved, making it feasible
to tap into fast network dynamics. Yet, analyzing whole-cortex EEG signals in source space …

Connectome Mapper 3 (CMP3) is an open-source processing pipeline software, written in
Python 3, for multi-scale multi-modal connectome mapping of the human brain. It provides …

Computational models lie at the intersection of basic neuroscience and healthcare applications
because they allow researchers to test hypotheses in silico and predict the outcome of …

Spontaneous activity measured in human subject under the absence of any task exhibits
complex patterns of correlation that largely correspond to large-scale functional topographies …

The grouping of sensory stimuli into categories is fundamental to cognition. Previous
research in the visual and auditory systems supports a two‐stage processing hierarchy that …

Connectome Spectrum Electromagnetic Tomography (CSET) combines diffusion MRI-derived
structural connectivity data with well-established graph signal processing tools to solve …