Background Once considered mere noise, fMRI-based functional connectivity has become a
major neuroscience tool in part due to early studies demonstrating its reliability. These …

Highlights•Context is needed to appreciate recent reports of poor univariate fMRI
reliability.•We provide a guide to measuring and interpreting fMRI test-retest reliability via …

Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …

Naturalistic viewing paradigms such as movies have been shown to reduce participant head
motion and improve arousal during fMRI scanning relative to task-free rest, and have been …

Abstract We describe the Open Diffusion Data Derivatives (O3D) repository: an integrated
collection of preserved brain data derivatives and processing pipelines, published together …

There is significant interest in using resting-state functional connectivity (RSFC) to predict
human behavior. Good behavioral prediction should in theory require RSFC to be …

Multivariate pattern analysis (MVPA) has become an important tool for identifying brain
representations of psychological processes and clinical outcomes using fMRI and related …

Many unsupervised methods are widely used for parcellating the brain. However,
unsupervised methods aren't able to integrate prior information, obtained from such as …

Reliability of subject-level resting-state functional connectivity (FC) is determined in part by
the statistical techniques employed in its estimation. Methods that pool information across …

Neuroimaging faces the daunting challenge of multiple testing–an instance of multiplicity–
that is associated with two other issues to some extent: low inference efficiency and poor …