Many statistical scenarios initially involve several candidate models that describe the data-
generating process. Analysis often proceeds by first selecting the best model according to …

Cognition and behavior emerge from brain network interactions, suggesting that causal
interactions should be central to the study of brain function. Yet, approaches that …

Brain networks, localized or brain-wide, exist only at the cellular level, ie, between specific
pre-and post-synaptic neurons, which are connected through functionally diverse synapses …

Abstract Evaluation of the structural connectivity (SC) of the brain based on tractography has
mainly focused on the choice of diffusion model, tractography algorithm, and their respective …

Correlation matrices are a major type of multivariate data. To examine properties of a given
correlation matrix, a common practice is to compare the same quantity between the original …

A Bayesian model for sparse, hierarchical, inver-covariance estimation is presented, and
applied to multi-subject functional connectivity estimation in the human brain. It enables …

Despite long-term successful treatment with cART, impairments in cognitive functioning are
still being reported in HIV-infected patients. Since changes in cognitive function may be …

Structural connectivity provides the backbone for communication between neural
populations. Since axonal transmission occurs on a millisecond time scale, measures of …

This paper studies change-points in human brain functional connectivity (FC) and seeks
patterns that are common across multiple subjects under identical external stimulus. FC …

A fundamental goal in network neuroscience is to understand how activity in one brain
region drives activity elsewhere, a process referred to as effective connectivity. Here we …