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FCP-INDI / C-PAC

Configurable Pipeline for the Analysis of Connectomes
https://fcp-indi.github.io/
GNU Lesser General Public License v3.0
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Benchmark C-PAC against fmriprep+XCP outputs #1141

Open sgiavasis opened 4 years ago

sgiavasis commented 4 years ago

https://fmriprep.readthedocs.io/en/stable/ https://xcpengine.readthedocs.io/

sgiavasis commented 3 years ago

Just need to bundle C-PAC with this preconfig now.

sgiavasis commented 3 years ago

I believe @hahaai has the config ready - @SucyLi or @HechengJin0 could we just place it into the /resources/configs list in resources and make a PR to develop?

hahaai commented 3 years ago

@sgiavasis @SucyLi I don't have one for 1.8. The CPAC:F/X option is basically the CPAC:fMRIPrep + the following nuisance regression and filter.

Select which nuisance signal corrections to apply

Regressors:
- Bandpass:
    bottom_frequency: 0.01
    top_frequency: 0.08
  CerebrospinalFluid:
    erode_mask: false
    extraction_resolution: 2
    include_delayed: true
    include_delayed_squared: true
    include_squared: true
    summary: Mean
  GlobalSignal:
    include_delayed: true
    include_delayed_squared: true
    include_squared: true
    summary: Mean
  Motion:
    include_delayed: true
    include_delayed_squared: true
    include_squared: true
  WhiteMatter:
    erode_mask: false
    extraction_resolution: 2
    include_delayed: true
    include_delayed_squared: true
    include_squared: true
    summary: Mean
  PolyOrt: 
    degree: 2

# Whether to run frequency filtering before or after nuisance regression.
# ['Before'] or ['After']
filtering_order: ['After']