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  • 1. Introduction to MRI data
    • 1.1 Why worry?
    • 1.2 Why Python?
  • 2. FMRI data
    • 2.1 A brain image
    • 2.2 Arrays and images
    • 2.3 3D images
    • 2.4 4D images
    • 2.5 Voxel time courses
  • 3. FMRI pre-processing
    • 3.1 slice timing
    • 3.2 optimizing space
    • 3.3 mutual information
    • 3.4 normalization
    • 3.5 smoothing
  • 4. Activation
    • 4.1 First activation
    • 4.2 Correlation each voxel
    • 4.3 Convolution
    • 4.5 General linear model
    • 4.6 Linear model on one voxel
    • 4.7 Random effects
    • 4.8 On F tests
    • 4.9 Reverse engineering FEAT

These notes

This section has some background on brain imaging as a science, and discussion of the tools we have used to build these pages.

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