Functional neuroimaging techniques have transformed our ability to probe the neurobiological
basis of behaviour and are increasingly being applied by the wider neuroscience …

In the last decade, major advances have been made in the availability of shared neuroimaging
data, such that there are more than 8,000 shared MRI (magnetic resonance imaging) …

Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

Innovations in data visualization punctuate the landmark advances in human connectome
research since its beginnings. From tensor glyphs for diffusion-weighted imaging, to advanced …

The development of magnetic resonance imaging (MRI) techniques has defined modern
neuroimaging. Since its inception, tens of thousands of studies using techniques such as …

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 …

Higher brain function relies upon the ability to flexibly integrate information across specialized
communities of brain regions; however, it is unclear how this mechanism manifests over …

Quality control of MRI is essential for excluding problematic acquisitions and avoiding bias in
subsequent image processing and analysis. Visual inspection is subjective and impractical …

Here we present NeuroVault—a web based repository that allows researchers to store, share,
visualize, and decode statistical maps of the human brain. NeuroVault is easy to use and …

The sharing of research data is essential to ensure reproducibility and maximize the impact
of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN Initiative …