Paper Summary
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Big Brains, Small Effects: Thousands Needed for Reliable Brain Scans
Brain-wide association studies (BWAS) need thousands of participants for reliable results, as effect sizes are smaller than previously thought. Sampling variability in smaller studies leads to inflated and often irreproducible findings, emphasizing the need for larger, well-powered studies in future BWAS research.
Possible Conflicts of Interest
E.A.E., D.A.F., and N.U.F.D. have financial interests in NOUS Imaging Inc. related to FIRMM motion-monitoring software. O.M.-D., E.A.E., A.N.V., D.A.F., and N.U.F.D. may also receive royalties from FIRMM technology.
Identified Weaknesses
The study acknowledges that the ABCD, HCP, and UKB samples, while large, are not fully population representative. This limits the generalizability of the findings to other populations.
Lower Power and Higher Error Rates Compared to Other Neuroimaging Approaches
BWAS has lower power and higher error rates than other neuroimaging approaches like lesion studies or interventions. This makes it more challenging to detect and replicate true brain-behavior associations.
Potential for Oversimplification with Correlations and Standard Multivariate Models
Although the study uses large datasets, the reliance on correlations and standard multivariate models might not fully capture the complex relationships between brain and behavior. More sophisticated modeling techniques might be needed.
Rating Explanation
This study addresses a crucial issue in neuroimaging research: the reproducibility of brain-wide association studies (BWAS). Using massive datasets, the authors demonstrate the need for thousands of participants to achieve reliable results, challenging previous smaller studies. While limitations regarding generalizability and reliance on correlations exist, the sheer scale of the analysis and its implications for future research warrant a strong rating. The declared conflicts of interest are noted and considered in the rating.
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Original Title:
Reproducible brain-wide association studies require thousands of individuals
Uploaded:
July 14, 2025 at 10:35 AM
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