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 …

Identifying brain biomarkers of disease risk is a growing priority in neuroscience. The ability
to identify meaningful biomarkers is limited by measurement reliability; unreliable measures …

Intrinsic connectivity, measured using resting-state fMRI, has emerged as a fundamental tool
in the study of the human brain. However, due to practical limitations, many studies do not …

Characterizing multifaceted individual differences in brain function using neuroimaging is
central to biomarker discovery in neuroscience. We provide an integrative toolbox …

Mapping individual differences in brain function has been hampered by poor reliability as
well as limited interpretability. Leveraging patterns of brainwide functional connectivity (FC) …

Recent work demonstrating low test-retest reliability of neural activation during fMRI tasks
raises questions about the utility of task-based fMRI for the study of individual variation in …

Objectives Optimizing a machine learning (ML) pipeline for radiomics analysis involves
numerous choices in data set composition, preprocessing, and model selection. Objective …

The concept of test-retest reliability indexes the consistency of a measurement across time.
High reliability is critical for any scientific study, but specifically for the study of individual …

Here we address the current issues of inefficiency and over-penalization in the massively
univariate approach followed by the correction for multiple testing, and propose a more …