Inference in neuroimaging typically occurs at the level of focal brain areas or circuits. Yet,
increasingly, well-powered studies paint a much richer picture of broad-scale effects …

When fields lack consensus standards and ground truths for their analytic methods,
reproducibility can be more of an ideal than a reality. Such has been the case for functional …

Despite myriad demonstrations of feasibility, the high dimensionality of fMRI data remains a
critical barrier to its utility for reproducible biomarker discovery. Recent efforts to address this …

Connectivity studies using resting-state functional magnetic resonance imaging are
increasingly pooling data acquired at multiple sites. While this may allow investigators to …

Data analysis workflows in many scientific domains have become increasingly complex and
flexible. Here we assess the effect of this flexibility on the results of functional magnetic …

Task-free functional connectivity in animal models provides an experimental framework to
examine connectivity phenomena under controlled conditions and allows for comparisons …

Functional connectivity magnetic resonance imaging (fcMRI) is a powerful tool for
understanding the network level organization of the brain in research settings and is …

When we consider all of the methods we employ to detect brain function, from
electrophysiology to optical techniques to functional magnetic resonance imaging (fMRI), we …

Multi-subject functional magnetic resonance imaging (fMRI) analysis is often concerned with
determining whether there exists a significant population-wide 'activation'in a comparison …

Pioneering work in human neuroscience has relied on the ability to map brain function using
task-based fMRI, but the empirical validity of these inferential methods is still being …