[B23O] Pipeline reproduction (FSL - deriv)

[bclenet]

Softwares

FSL Version 5.0.11

Input data

derivatives (fMRIprep)

Additional context

• spatial_smoothing : No spatial smoothing

• noise_removal : All confounds from fmriprep output were used with fsl_resfilt except columns 4 5 6 7

List of tasks

Please tick the boxes below once the corresponding task is finished. 👍

• 👌 A maintainer of the project approved the issue, by assigning a 🏁status: ready for dev label to it.
• 🌳 Create a branch on your fork to start the reproduction.
• 🌅 Create a file team_{team_id}.py inside the narps_open/pipelines/ directory. You can use a file inside narps_open/pipelines/templates as a template if needed.
• 📥 Create a pull request as soon as you completed the previous task.
• 🧠 Write the code for the pipeline, using Nipype and the file architecture described in docs/pipelines.md.
• 📘 Make sure your code is documented enough.
• 🐍 Make sure your code is explicit and conforms with PEP8.
• 🔬 Create tests for your pipeline. You can use files in tests/pipelines/test_team_* as examples.
• 🔬 Make sure your code passes all the tests you created (see docs/testing.md).

[bclenet]

Correlation results with 108 subjects, commit af1651b : [0.58, 0.61, 0.58, 0.61, -0.67, -0.51, 0.67, 0.51, -0.03]

[bclenet]

Correlation results with 108 subjects, commit 04ea2c1 : [0.66, 0.66, 0.66, 0.66, -0.69, -0.56, 0.69, 0.56, -0.02]

[bclenet]

Correlation results with 108 subjects, commit 49e3c5b : [0.67, 0.66, 0.67, 0.66, -0.71, -0.58, 0.71, 0.58, -0.05]
First level regressors were othogonalized.