|
36p confounds from FMRIPREP for FSL FEAT
|
|
2
|
379
|
June 4, 2025
|
|
Confound regression of post-fmriprep data and L1 glm setup in FSL feat
|
|
2
|
1412
|
May 22, 2025
|
|
First-level modeling in NiLearn, Conditions come from Different Runs
|
|
9
|
4910
|
July 11, 2024
|
|
Running first-level analysis with fMRIPrep / FEAT 6
|
|
5
|
1673
|
April 27, 2024
|
|
Error with running first-level analysis in FSL FEAT
|
|
2
|
1515
|
March 5, 2024
|
|
Z-maps manipulation for different contrasts in NiLearn
|
|
4
|
1912
|
January 17, 2024
|
|
How to recreate First Level Model output from FSL FEAT in Nilearn
|
|
1
|
1249
|
December 4, 2023
|
|
Why is nilearn's first-level output discrete?
|
|
3
|
868
|
May 21, 2022
|
|
FSL scripting: error in execution of FSL FEAT
|
|
8
|
6576
|
December 7, 2021
|
|
Weird-looking mean z-map
|
|
0
|
854
|
November 8, 2021
|
|
Compare statistical images across different fmri tasks
|
|
2
|
1153
|
October 20, 2021
|
|
Mixed Block/Event First-Level Design in Nilearn
|
|
2
|
1227
|
September 23, 2021
|
|
Linear basis sets for relaxing trigger timing
|
|
0
|
885
|
December 17, 2019
|
|
Nipype: Trait types required for first-level contrasts
|
|
1
|
1204
|
August 27, 2019
|
|
SPM parameter estimability
|
|
5
|
4975
|
July 16, 2019
|
|
Script for SPM first-level GLM analysis
|
|
0
|
8162
|
June 12, 2019
|