Neuroscientists are amassing the large-scale datasets needed to study individual
differences and identify biomarkers. However, measurement reliability within individual
samples is often suboptimal, thereby requiring unnecessarily large samples. We focus our
comment on reliability in neuroimaging and provide examples of how the reliability can be
increased.