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

Diffusion-weighted MRI (dMRI) provides a unique non-invasive view of human brain tissue
properties. The present review article focuses on tractometry analysis methods that use …

Background Brain extraction is a computational necessity for researchers using brain
imaging data. However, the complex structure of the interfaces between the brain, meninges …

Introduction The Human Connectome Project (HCP) has become a keystone dataset in
human neuroscience, with a plethora of important applications in advancing brain imaging …

In this perspective, we highlight how emerging artificial intelligence tools are likely to impact
the experiences of researchers conducting computational fMRI analyses. While calls for the …

Cross-sectional studies have linked differences in white matter tissue properties to reading
skills. However, past studies have reported a range of, sometimes conflicting, results. Some …

Alpha is the strongest electrophysiological rhythm in awake humans at rest. Despite its
predominance in the EEG signal, large variations can be observed in alpha properties …

Head motion correction is particularly challenging in diffusion‐weighted MRI (dMRI) scans
due to the dramatic changes in image contrast at different gradient strengths and directions …

The rise of large neuroimaging datasets and multi-dataset mega-analyses brings the power
to study interindividual differences in brain structure and function on a heretofore unseen …

Neuroimaging research faces a crisis of reproducibility. With massive sample sizes and
greater data complexity, this problem becomes more acute. Software that operates on …