Our new paper is out! It offers a tool to assess collinearity impact on contrast estimates *and* uses simulations + MID data to show how common collinearity avoidance strategies can bias results. Huge thanks to @russpoldrack.org , M Demidenko, and the ABCD folks. 🔗 direct.mit.edu/imag/article...

Unintended bias in the pursuit of collinearity solutions in fMRI analysis

Abstract. In task functional magnetic resonance imaging (fMRI), collinearity between task regressors in time series models may impact power. When collinearity is identified after data collection, rese...

direct.mit.edu

Do you ever wish you could just use python to pull together the files and code for running FSL's randomise? Me too! I made this: github.com/jmumford/ran... It will even replace the numbers in the file outputs with contrast names of your choosing (and replace corrp with 1minusp).

GitHub - jmumford/randomise-prep: Generate design matrices, contrasts, and scripts to set up FSL randomise analyses.

Generate design matrices, contrasts, and scripts to set up FSL randomise analyses. - jmumford/randomise-prep

github.com

Interested in practical tips for assessing collinearity and why common fixes might not help? Come to the #OHBM2025 oral session Friday at 11:30AM (P2)! I’ll share simulation results and @demidenko.bsky.social will present real data. Also, check out my poster Thursday (1051)!

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OHBM Open Science Special Interest Group@ohbmossig.bsky.social · last yr.

Hello OSSIG community! We would like to share our petition as we would like to continue OSSIG opportunities and grow this community even more at future conferences! Please join our efforts in signing this petition to have OSSIG activities regularly.

Following a lot of hard work and dedicated effort from countless parties, our textbook providing a hands-on introduction to analyzing network data is now available for pre-order from Cambridge University Press www.cambridge.org/core/books/h...

Hands-On Network Machine Learning with Python

Cambridge Core - Pattern Recognition and Machine Learning - Hands-On Network Machine Learning with Python

cambridge.org

Shameless plug for a useful tool tucked away in Appendix B of our preprint. A VIF calculation for *contrasts*, cVIF. A foolproof way to assess how collinearity is impacting what you're actually interested in! Code available on GitHub! www.biorxiv.org/content/10.1... github.com/jmumford/vif...

Setting up an fMRI model and getting hit with collinearity errors? Been there! 😢 Try removing regressors? Orthogonal regressors? Other tricks to resolve collinearity errors? Guess what—those fixes might make things worse. We explore why and propose recommendations. www.biorxiv.org/content/10.1...