Reproducible brain-wide association studies require thousands of individuals.
Scott Marek1, Brenden Tervo-Clemmens2,3, Finnegan J Calabro4,5
1Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA. smarek@wustl.edu.
Nature
|March 17, 2022
Summary
Large-scale brain-wide association studies (BWAS) reveal that typical sample sizes lead to underpowered research and failed replications. Increasing sample sizes to thousands significantly improves the reproducibility of brain-behavior associations in neuroimaging research.
Area of Science:
- Neuroimaging
- Cognitive Neuroscience
- Psychiatric Neuroscience
Background:
- Magnetic resonance imaging (MRI) has advanced brain structure and function mapping but faces challenges in mental health research.
- Replicating associations between individual brain differences and complex phenotypes (brain-wide association studies, BWAS) is difficult with small sample sizes.
Purpose of the Study:
- To quantify brain-wide association study (BWAS) effect sizes and reproducibility based on sample size.
- To identify factors influencing the reproducibility of neuroimaging-based brain-behavior associations.
Main Methods:
- Utilized three large neuroimaging datasets totaling approximately 50,000 individuals.
- Quantified BWAS effect sizes and replication rates as a function of increasing sample size.
- Compared reproducibility for functional MRI vs. structural MRI, cognitive tests vs. mental health questionnaires, and multivariate vs. univariate methods.
Main Results:
- BWAS associations are smaller than anticipated, leading to underpowered studies, inflated effect sizes, and replication failures at typical sample sizes.
- Replication rates improve and effect size inflation decreases as sample sizes increase into the thousands.
- Functional MRI, cognitive tests, and multivariate methods showed more robust BWAS effects.
Conclusions:
- Small effect sizes and population variability contribute to widespread BWAS replication failures.
- Reproducible BWAS require substantially larger sample sizes (thousands of individuals) compared to classical brain mapping.
- Future mental health research using MRI necessitates large-scale collaborations to achieve reliable brain-behavior findings.


