Towards Reproducible Brain-Wide Association Studies
Marek, S.; Tervo-Clemmens, B.; Calabro, F. J.; Montez, D. F.; Kay, B. P.; Hatoum, A. S.; Donohue, M. R.; Foran, W.; Miller, R. L.; Feczko, E.; Miranda Dominguez, O.; Graham, A.; Earl, E. A.; Perrone, A.; Cordova, M.; Doyle, O.; Moore, L. A.; Conan, G.; Uriarte, J.; Snider, K.; Tam, A.; Chen, J.; Newbold, D. J.; Zheng, A.; Seider, N. A.; Van, A. N.; Laumann, T. O.; Thompson, W. K.; Greene, D. J.; Petersen, S. E.; Nichols, T.; Yeo, B. T. T.; Barch, D. M.; Garavan, H.; Luna, B.; Fair, D. A.; Dosenbach, N. U. F.
Show abstract
Magnetic resonance imaging (MRI) continues to drive many important neuroscientific advances. However, progress in uncovering reproducible associations between individual differences in brain structure/function and behavioral phenotypes (e.g., cognition, mental health) may have been undermined by typical neuroimaging sample sizes (median N=25)1,2. Leveraging the Adolescent Brain Cognitive Development (ABCD) Study3 (N=11,878), we estimated the effect sizes and reproducibility of these brain-wide associations studies (BWAS) as a function of sample size. The very largest, replicable brain-wide associations for univariate and multivariate methods were r=0.14 and r=0.34, respectively. In smaller samples, typical for brain-wide association studies (BWAS), irreproducible, inflated effect sizes were ubiquitous, no matter the method (univariate, multivariate). Until sample sizes started to approach consortium-levels, BWAS were underpowered and statistical errors assured. Multiple factors contribute to replication failures4-6; here, we show that the pairing of small brain-behavioral phenotype effect sizes with sampling variability is a key element in wide-spread BWAS replication failure. Brain-behavioral phenotype associations stabilize and become more reproducible with sample sizes of N{gap}2,000. While investigator-initiated brain-behavior research continues to generate hypotheses and propel innovation, large consortia are needed to usher in a new era of reproducible human brain-wide association studies.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Regional, circuit, and network heterogeneity of brain abnormalities in psychiatric disorders 97%
- Structure and influence in an interconnected world: neurocomputational mechanism of real-time distributed learning on social networks 96%
- Genetic mapping identifies Homer1 as a developmental modifier of attention 95%
Similar papers in this journal
- Multimodal gradients of basal forebrain connectivity across the neocortex 96%
- Cellular and molecular associations with intrinsic brain organization 96%
- Genetic correlates of evolutionary adaptations in cognitive functional brain networks and their relationship to human cognitive functioning and disease 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.