[3TR7] Pipeline reproduction (SPM - deriv)

[alexpron]

Softwares

• fmriprep,
• SPM12 (7219),
• ipython and associated python packages (Python 3.6.7, matplotlib 3.0.3, pandas 0.24.1, and nilearn 0.5.0, nibabel 2.3.3, numpy 1.16.2,
• mricron for visual quality check

Input data

derivatives (fMRIprep)

Additional context

some subjects were excluded from the analysis based on predifined criteria

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).

[cmaumet]

@alexpron: I am adding you as assignee on this issue (just for the time of the hackathon) so that we can more easily see which pipelines are open for new contributions in https://github.com/orgs/Inria-Empenn/projects/1/views/1

[bclenet]

Final correlation results with 108 subjects : [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]