Reproducible brain-wide association studies require thousands of individuals | Nature
Combined data from three large studies, with a total sample size of around 50,000 individuals, indicate that many previous studies linking the brain to complex phenotypes have been statistically underpowered, producing inflated and irreproducible effects.
Main MRI data (such as cortical thickness or resting-state functional connectivity (RSFC)) are increasingly being used for the ambitious task of relating individual differences in brain structure and function to typical variation in complex psychological phenotypes (for example, cognitive ability and psychopathology). To clearly distinguish such BWAS from other neuroimaging research, we formally define them as ‘studies of the associations between common inter-individual variability in human brain structure/function and cognition or psychiatric symptomatology’. Classically univariate, BWAS…
saved by
related reading
- An assessment of the autism neuroimaging literature for the prospects of re-executabilityf1000research.com
- [2107.06867] Comparison of Canonical Correlation and Partial Least Squares analyses of simulated and empirical dataarxiv.org
- Shared mechanisms underlie the control of working memory and attentionnature.com
- A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research | PLOS Biologyjournals.plos.org
- Could a Neuroscientist Understand a Microprocessor? | PLOS Computational Biologyjournals.plos.org
- A brain-wide map of neural activity during complex behaviournature.com
- State of Brain Emulation Report 2025 | Research Overviewbrainemulation.mxschons.com
- Dimensionality reduction in neural data analysisxcorr.net
- [2409.06843] Universal scale-free representations in human visual cortexarxiv.org
- Estimating the dimensionality of the manifold underlying multi-electrode neural recordingsncbi.nlm.nih.gov
- Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures | Communications Biologynature.com
- Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findingsnature.com