BrainEffeX: A Web App for Exploring fMRI Effect Sizes

Hallee Shearer, Matthew Rosenblatt, Jean Ye, Rongtao Jiang, Link Tejavibulya, Qinghao Liang, Javid Dadashkarimi, Margaret Westwater, Iris Cheng and Alexandra Fischbach

No kryn4, OSF Preprints from Center for Open Science

Abstract: Effect size estimation is crucial for power analyses and experimental design, but poses unique challenges in fMRI research due to the complexity of the data and analysis techniques. Here, we utilized large fMRI datasets to obtain precise univariate and multivariate effect size estimates from “typical” fMRI study designs: brain-behavior correlation, task vs. rest, and between-group analyses of functional connectivity and task-based activation maps. We provide an interactive web application for exploring these effect maps (neuroprismlab.shinyapps.io/effect_size_shiny). The app is intentionally designed as a growing resource and we welcome contributions from large (n > 500) datasets.

Date: 2024-11-22
New Economics Papers: this item is included in nep-exp
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:kryn4

DOI: 10.31219/osf.io/kryn4

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