A pervasive dilemma in neuroimaging is whether to prioritize sample size or scan duration
given fixed resources. Here, we systematically investigate this trade-off in the context of …

Magnetic resonance imaging (MRI) continues to drive many important neuroscientific
advances. However, progress in uncovering reproducible associations between individual …

Identifying reproducible and generalizable brain-phenotype associations is a central goal of
neuroimaging. Consistent with this goal, prediction frameworks evaluate brain-phenotype …

Magnetic resonance imaging (MRI) has transformed our understanding of the human brain
through well-replicated mapping of abilities to specific structures (for example, lesion …

Efforts to predict trait phenotypes based on functional MRI data from large cohorts have
been hampered by low prediction accuracy and/or small effect sizes. Although these …

Inference in neuroimaging typically occurs at the level of focal brain areas or circuits. Yet,
increasingly, well-powered studies paint a much richer picture of broad-scale effects …

Brain-wide association studies (BWAS) are a fundamental tool in discovering brain-behavior
associations. Several recent studies showed that thousands of study participants are …

Magnetic resonance imaging (MRI) studies of the human brain are now attaining larger
sample sizes with more diverse samples. However, population stratification, a key factor …

Paragraph Biomarkers of behavior and psychiatric illness for cognitive and clinical
neuroscience remain out of reach–. Suboptimal reliability of biological measurements, such …

Here we investigate the crucial role of trials in task-based neuroimaging from the
perspectives of statistical efficiency and condition-level generalizability. Big data initiatives …