The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …

Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake,
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …

As medical imaging enters its information era and presents rapidly increasing needs for big
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …

Aberrant topological organization of whole-brain networks has been inconsistently reported
in studies of patients with major depressive disorder (MDD), reflecting limited sample sizes …

The transition from childhood to adolescence is marked by pronounced shifts in brain
structure and function that coincide with the development of physical, cognitive, and social …

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

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 …

When designing experimental studies with human participants, experimenters must decide
how many trials each participant will complete, as well as how many participants to test …

Diffusion MRI‐based tractography is the most commonly‐used technique when inferring the
structural brain connectome, ie, the comprehensive map of the connections in the brain. The …

Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …