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1. Reproducible brain-wide association studies require thousands of individuals

2. Towards Reproducible Brain-Wide Association Studies

3. Performance reserves in brain-imaging-based phenotype prediction

4. Multivariate BWAS can be replicable with moderate sample sizes

5. Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use

6. Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature

7. 10 years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group

8. Phenotype integration improves power and preserves specificity in biobank-based genetic studies of MDD

9. Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images versus machine-learning datasets

10. Wikipedia Bibliography:

    1. https://en.wikipedia.org/wiki/Neuroimaging

       https://en.wikipedia.org/wiki/Neuroimaging

    2. UK Biobank

    3. Body mass index

    4. Neuroticism

    5. Power law

    6. Effect size

    7. https://en.wikipedia.org/wiki/Intraclass_correlation

       https://en.wikipedia.org/wiki/Intraclass_correlation

    8. https://en.wikipedia.org/wiki/Jaccard_index

       https://en.wikipedia.org/wiki/Jaccard_index

    9. Cerebral cortex

    10. https://en.wikipedia.org/wiki/Resting_state_fMRI#Functional

        https://en.wikipedia.org/wiki/Resting_state_fMRI#Functional