RABIES

Getting started

  • Tutorial
    • Your first RABIES run
      • What you will end up with
      • Step 1: Install the container
      • Step 2: Get the example data
      • Step 3: Preprocess
      • Step 4: Look at the registration quality control report
      • Step 5: Correct confounds
      • Step 6: Analyse
      • What you have done
      • Where to go next

How-to guides

  • How-to guides
    • Getting RABIES running
      • How to install RABIES
      • How to handle container syntax
      • How to select which scans get processed
      • How to override the default common space template
    • Getting good results out of it
      • How to check image orientation
      • How to troubleshoot registration
      • How to assess data quality
      • How to optimise your confound correction strategy
      • How to use RABIES on already-preprocessed data
    • Contributing
      • How to contribute to RABIES

Reference

  • Reference
    • Running RABIES
      • Input data requirements
      • Built-in commonspace template and atlas
      • Command line interface
    • What RABIES produces
      • Output files
      • Preprocessing QC outputs
      • Metric definitions
    • Internals
      • Workflow reference
      • Bibliography

Explanation

  • Explanation
    • The processing stages
      • The preprocessing workflow
      • The confound correction workflow
      • Connectivity analysis
    • Assessing data quality
      • Overview of data quality assessment
      • The spatiotemporal diagnosis
      • QC-FC distribution
      • The group statistical report
RABIES
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© Copyright 2019, CoBrALab and Gabriel Desrosiers-Gregoire and Gabriel A. Devenyi and Mallar Chakravarty.

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