Overview of SPM2

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Overview of SPM2

• From buttons to code
• Eamonn Walsh Domenica Bueti

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SPM Statistical Parametric Mapping

• SPM examines every voxel location across all
  images and computes a parametric map
• Data reduction condensing information from a
  number of individuals in a statistically
  meaningful way

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Data transformations
Statistical parametric map (SPM)
Design matrix
Image time-series
Kernel
Realignment
Smoothing
General linear model
Gaussian field theory
Statistical inference
Normalisation
p lt0.05
Template
Parameter estimates
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Spatial Preprocessing
Model Specification and Parameter Estimation
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Spatial Preprocessing
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Spatial Preprocessing - Realign

• Aligning hundreds of 3D brain volumes per single
  subject
• To create a mean image

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Spatial Preprocessing - Coregister

• Matching the functional scan to the structural
  scan for the same individual

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Spatial Preprocessing Slice Timing

• Take first or middle slice as reference slice
• Shift all other slices in time to match this
  reference slice

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Spatial Preprocessing - Normalise

• The same voxels in different brains are aligned
  to represent the same anatomical location.
• Template

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Spatial Preprocessing - Smooth

• Blur the images prior to statistical analysis
• FWHM Full width half maximum

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Spatial Preprocessing - Segment

• Images are segmented into grey and white matter
  maps

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• Image File fm00223_004.img
• Realigned rfm00223_004.img
• Realigned, Coregistered,, rrfm00223_004.img
• Realigned, Coregistered, Normalised,
  wrrfm00223_004.img
• Realigned, Coregistered, Normalised, Smoothed
  swrrfm00223_004.img

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Spatial Preprocessing
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SPM Demo

• Spatial Preprocessing
• Guided Tour