2. Keith Worsley

4. Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology,
Regression and Group Analysis Pipeline with Statistical Parametric Mapping
SPM
John Ashburner
Wellcome Trust Centre for Neuroimaging,
UCL Institute of Neurology,
London, UK.

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

6. SPM Interface and Batch mode

7. Pre-processing Overview
Statistics or whatever
fMRI time-series
Template
Anatomical MRI
Smoothed
Estimate Spatial Norm
Motion Correct
Smooth
Coregister
Spatially normalised
Deformation

8. Batch Pre-processing

9. DARTEL Normalisation
Simultaneous registration of GM to GM and WM to WM
Template is an average shaped brain.
Less bias in subsequent analysis.
Iteratively created mean using DARTEL algorithm.
Generative model of data.
Multinomial noise model.
Grey matter average of 471 subjects
White matter average of 471 subjects

10. DARTEL Batch

11. Specify the Design for GLM
Design matrix = + y X
Parameter estimation

12. Batch 1st Level Analysis (Specify Design, Estimate, Result)

13. Group Analysis Of Summary Statistics
First level
Second level
Data Design Matrix Contrast Images
SPM(t)
One-sample
2nd level

14. 2nd Level Analysis (Group Analysis)

15. SPM Resource http://www.fil.ion.ucl.ac.uk/spm “Human Brain Function” &
“Statistical Parametric” Mapping books
peer reviewed literature
SPM discussion list
algorithm descriptions, code annotations, pseudo-code
&
SPM5/8 Manual