BrainEffeX: A Web App for Exploring fMRI Effect Sizes

  1. Hallee Shearer
  2. Matthew Rosenblatt
  3. Jean Ye
  4. Rongtao Jiang
  5. Link Tejavibulya
  6. Maya Foster
  7. Qinghao Liang
  8. Javid Dadashkarimi
  9. Margaret Westwater
  10. Catherine Cahill
  11. Iris Cheng
  12. Alexandra Fischbach
  13. Ashley Humphries
  14. Aneesh Kumar
  15. Max Rolison
  16. Hannah Peterson
  17. Brendan Adkinson
  18. Saloni Mehta
  19. Chris Camp
  20. Thomas Nichols
  21. Joshua Curtiss
  22. Dustin Scheinost
  23. Stephanie Noble
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Abstract

Effect size estimation is crucial for power analyses and experimental design, but posesunique challenges in fMRI research due to the complexity of the data and analysistechniques. Here, we introduce an interactive web application for exploring fMRI effect maps(neuroprismlab.shinyapps.io/BrainEffeX). We utilized large fMRI datasets to obtain precisevoxel-wise and multivariate effect size estimates from “typical” fMRI study designs:brain-behavior correlation, task vs. rest, and between-group analyses of functionalconnectivity and task-based activation maps. The app is intentionally designed as a growingresource, and we welcome contributions of large (n > 500) datasets.

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  1. Version published to 10.31219/osf.io/kryn4_v3 on OSF Preprints
  2. Version published to 10.31219/osf.io/kryn4_v2 on OSF Preprints
  3. Version published to 10.31219/osf.io/kryn4 on OSF Preprints