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Nature Methods
Neuroimaging Methods
Paul A. Taylor, Himanshu Aggarwal, Peter A. Bandettini, Marco Barilari, Molly G. Bright, CĂ©sar Caballero-Gaudes, Vince D. Calhoun, Mallar Chakravarty, Gabriel A. Devenyi, Jennifer W. Evans, Eduardo A. Garza-Villarreal, RĂ©mi Gau, Daniel R. Glen, Rainer Goebel, Javier Gonzalez-Castillo, Omer Faruk Gulban, Yaroslav Halchenko, Daniel A. Handwerker, Taylor Hanayik, Peter D. Lauren, David A. Leopold, Jason P. Lerch, Christian Mathys, Paul McCarthy, Anke McLeod, Amanda F. Mejia, Stefano Moia, Thomas E. Nichols, Cyril Pernet, Luiz Pessoa, Bettina Pfleiderer, Justin K. Rajendra, Jalil Rasgado-Toledo, Laura D. Reyes, Richard C. Reynolds, Vinai Roopchansingh, Chris Rorden, Brian E. Russ, Benedikt Sundermann, Bertrand Thirion, Salvatore Torrisi, Gang Chen
2026-08-31
TL;DR - This Perspective argues that neuroimaging figures should transparently display thresholding and statistical context instead of showing only results beyond fixed P-value cutoffs. Better reporting preserves information and reduces the risk of misleading interpretation.
- Fixed P-value thresholds can hide potentially valuable patterns in imaging data.
- Figures should make thresholding choices explicit and retain sufficient context for interpretation.
- The recommendations may also improve transparency in scientific imaging beyond neuroscience.
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