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FEAT is a software tool for high quality model-based FMRI data analysis

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flywheel/fsl-feat

Build context for a Flywheel Gear to execute FSL's FEAT.

This Gear uses a simple .fsf file that performs basic preprocessing. This includes the following steps, all of which are optional (see manifest.json):

  1. Initial Volume Removal (default 0 volumes)
  2. Motion Correction (default YES)
  3. Slice Timing Correction (default YES, must specify acquisition order)
  4. Spatial Smoothing (default 5mmFWHM)
  5. Intensity Normalization (default YES)
  6. High-Pass Filtering (default 100s cutoff)
  7. Brain extraction (default YES)
  8. Registration to standard (default YES)
    • Registration to alternate templates is supported when a Standard Template is specified AND the Use alt template option is set to 1 (true).
  9. Low_pass Filtering (default NO)

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FEAT is a software tool for high quality model-based FMRI data analysis

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