Go Figure: Transparency in neuroscience images preserves context and clarifies interpretation.

ABSTRACT: Visualizations are vital for communicating scientific results. Historically, neuroimaging figures have only depicted regions that surpass a given statistical threshold. This practice substantially biases interpretation of the results and subsequent meta-analyses, particularly towards non-reproducibility. Here we advocate for a "transparent thresholding" approach that not only highlights statistically significant regions but also includes subthreshold locations, which provide key experimental context. This balances the dual needs of distilling modeling results and enabling informed interpretations for modern neuroimaging. We present four examples that demonstrate the many benefits of transparent thresholding, including: removing ambiguity, decreasing hypersensitivity to non-physiological fe

SUBMITTER: Taylor PA 

PROVIDER: S-EPMC12036441 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature