| 36p confounds from FMRIPREP for FSL FEAT |     | 2 | 322 | June 4, 2025 | 
        
          | Confound regression of post-fmriprep data and L1 glm setup in FSL feat |     | 2 | 1257 | May 22, 2025 | 
        
          | First-level modeling in NiLearn, Conditions come from Different Runs |         | 9 | 4780 | July 11, 2024 | 
        
          | Running first-level analysis with fMRIPrep / FEAT 6 |       | 5 | 1514 | April 27, 2024 | 
        
          | Error with running first-level analysis in FSL FEAT |     | 2 | 1448 | March 5, 2024 | 
        
          | Z-maps manipulation for different contrasts in NiLearn |     | 4 | 1818 | January 17, 2024 | 
        
          | How to recreate First Level Model output from FSL FEAT in Nilearn |     | 1 | 1200 | December 4, 2023 | 
        
          | Why is nilearn's first-level output discrete? |     | 3 | 830 | May 21, 2022 | 
        
          | FSL scripting: error in execution of FSL FEAT |     | 8 | 6416 | December 7, 2021 | 
        
          | Weird-looking mean z-map |   | 0 | 801 | November 8, 2021 | 
        
          | Compare statistical images across different fmri tasks |     | 2 | 1050 | October 20, 2021 | 
        
          | Mixed Block/Event First-Level Design in Nilearn |     | 2 | 1179 | September 23, 2021 | 
        
          | Linear basis sets for relaxing trigger timing |   | 0 | 833 | December 17, 2019 | 
        
          | Nipype: Trait types required for first-level contrasts |   | 1 | 1147 | August 27, 2019 | 
        
          | SPM parameter estimability |       | 5 | 4863 | July 16, 2019 | 
        
          | Script for SPM first-level GLM analysis |   | 0 | 7960 | June 12, 2019 |