1. From buttons to code Eamonn Walsh & Domenica Bueti
Overview of SPM2
From buttons to code
Eamonn Walsh & Domenica Bueti

2. 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

3. Data transformations p <0.05 Statistical parametric map (SPM)
Image time-series
Kernel
Design matrix
Realignment
Smoothing
General linear model
Statistical
inference
Gaussian
field theory
Normalisation
p <0.05
Template
Parameter estimates

4. Spatial Preprocessing
Model Specification
and Parameter Estimation

5. Taken in 1839, this picture of a boulevard gives the impression of empty streets, because with long exposures moving objects would not register. However there is one exception; when a man stopped to have his shoes shined (see bottom of picture).

7. Spatial Preprocessing

8. Spatial Preprocessing - Realign
Aligning hundreds of 3D brain volumes per single subject
To create a ‘mean image’

9. Spatial Preprocessing - Coregister
Matching the functional scan to the structural scan for the same individual

10. Spatial Preprocessing – Slice Timing
Take first or middle slice as reference slice
Shift all other slices in time to match this reference slice

11. Spatial Preprocessing - Normalise
The same voxels in different brains are aligned to represent the same anatomical location.
Template

12. Spatial Preprocessing - Smooth
Blur the images prior to statistical analysis
FWHM Full width half maximum

13. Spatial Preprocessing - Segment
Images are segmented into grey and white matter maps

14. 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

15. Spatial Preprocessing

16. Spatial Preprocessing Guided Tour
SPM Demo
Spatial Preprocessing
Guided Tour