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DerivativesΒΆ

  • Seed-based Correlation Analysis (SCA) and Dual Regression - Analyze the connectivity between brain regions.
  • Voxel-mirrored Homotopic Connectivity (VMHC) - Investigate connectivity between hemispheres.
  • Amplitude of Low Frequency Fluctuations (ALFF) and fractional ALFF (fALFF) - Measure the power of slow fluctuations in brain activity.
  • Regional Homogeneity (ReHo) - Measure the similarity of activity patterns across neighboring voxels.
  • Network Centrality - Analyze the structure of functional networks.

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Table of Contents

  • User Guide
    • Latest Release: Version 1.8.3 Beta (Feb 11, 2022)
    • 1. C-PAC Quickstart
    • 2. Specify Your Data
    • 3. Select Your Pipeline
      • Pre-configured Pipelines
      • Configurable Settings
      • Data Management and Environment Settings
      • Pre- and post-processing
      • Derivatives
        • Seed-based Correlation Analysis (SCA) and Dual Regression - Analyze the connectivity between brain regions.
        • Voxel-mirrored Homotopic Connectivity (VMHC) - Investigate connectivity between hemispheres.
        • Amplitude of Low Frequency Fluctuations (ALFF) and fractional ALFF (fALFF) - Measure the power of slow fluctuations in brain activity.
        • Regional Homogeneity (ReHo) - Measure the similarity of activity patterns across neighboring voxels.
        • Network Centrality - Analyze the structure of functional networks.
      • Quality Control
    • 4. Pre-Process Your Data
    • 5. Compute Derivatives
    • 6. All Run Options
    • 7. Run Group Analysis
    • 8. Check Your Outputs
    • 9. Troubleshoot
    • 10. Release Notes
    • Appendix
    • Benchmark Package
  • Developer Documentation

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Navigation

  • index
  • modules |
  • next |
  • previous |
  • C-PAC 1.8.3 Beta documentation »
  • User Documentation »
  • Setting Up A Pipeline Configuration »
  • Derivatives
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