most citedProcessing, evaluating and understanding FMRI data with afni_proc.py

18 citations · 23 across the 4 of their papers we have counts for

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stat.ME2025

SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI Studies

Yuan Zhong, Gang Chen, Paul A. Taylor +1

Bayesian spatial modeling provides a flexible framework for whole-brain fMRI analysis by explicitly incorporating spatial dependencies, overcoming the limitations of traditional ma…

stat.ME2024★ 3 cited

False Discovery Rate and Localizing Power

Anderson M. Winkler, Paul A. Taylor, Thomas E. Nichols +1

False discovery rate (FDR) is commonly used for correction for multiple testing in neuroimaging studies. However, when using two-tailed tests, making directional inferences about t…