Note that these electronic versions have slightly different titles to the chapters that appear in the book. Also the chapter numbers here are one lower.

- Introduction
- Principles of functional organisation and implications for imaging
- Functional segregation and statistical parametric mapping
- The operational components of functional imaging data analysis
- The general linear model
- Summary

- Introduction
- The underlying principles
- Within modality image coregistration
- Between modality image coregistration )and partitioning)
- Affine spatial normalisation
- Nonlinear spatial normalisation
- Summary

- Introduction
- The general linear model
- Models for PET
- Functional MRI
- A multivariate perspective
- Concluding remarks

- Introduction
- Testing for intensity in SPMs
- Testing for spatial extent
- Testing for both peak height and spatial extent
- Testing for a set of regions
- Nonparametric approaches
- Discussion and conclusion

- Introduction
- Functional integration and connectivity
- Eigenimages, multidimensional scaling and other devices
- ManCova and canonical image analysis

- Introduction
- Origins and definitions
- The basic linear model
- Nonlinear effective connectivity between V1 and V2
- Structural equation modelling
- An example: Changes of effective connectivity in the dorsal visual stream
- Regression with time varying coefficients
- Issues of validity

- Introduction
- A taxonomy of experimental design
- An illustrative example using PET data
- Nonlinear parametric approaches
- Factorial designs and pure insertion
- Cognitive conjunctions
- Conclusion

- Introduction
- Principles of fMRI
- Applications of fMRI

- Introduction
- MRI physics
- fMRI time-series signal and noise
- Data analysis
- fMRI hardware and environment

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