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.

  • Chapter 1: Data analysis: Basic concepts and overview
    - Karl Friston [Ch1.pdf (212k)]
    Contents:
    1. Introduction
    2. Principles of functional organisation and implications for imaging
    3. Functional segregation and statistical parametric mapping
    4. The operational components of functional imaging data analysis
    5. The general linear model
    6. Summary

  • Chapter 2: Spatial transformation of images
    - John Ashburner & Karl Friston [Ch2.pdf (1Mb)]
    Contents:
    1. Introduction
    2. The underlying principles
    3. Within modality image coregistration
    4. Between modality image coregistration )and partitioning)
    5. Affine spatial normalisation
    6. Nonlinear spatial normalisation
    7. Summary

  • Chapter 3: Statistical models and experimental design
    - Andrew Holmes & Karl Friston [Ch3.pdf (544k)]
    Contents:
    1. Introduction
    2. The general linear model
    3. Models for PET
    4. Functional MRI
    5. A multivariate perspective
    6. Concluding remarks

  • Chapter 4: Statistical inference and the theory of random fields
    - Jean-Baptiste Poline, Andrew Holmes, Keith Worsley & Karl Friston [Ch4.pdf (1Mb)]
    Contents:
    1. Introduction
    2. Testing for intensity in SPMs
    3. Testing for spatial extent
    4. Testing for both peak height and spatial extent
    5. Testing for a set of regions
    6. Nonparametric approaches
    7. Discussion and conclusion

  • Chapter 5: Eigenimages and multivariate analyses
    - Karl Friston [Ch5.pdf (209k)]
    Contents:
    1. Introduction
    2. Functional integration and connectivity
    3. Eigenimages, multidimensional scaling and other devices
    4. ManCova and canonical image analysis

  • Chapter 6: Effective connectivity and neuroimaging
    - Christian Büchel & Karl Friston [Ch6.pdf (196k)]
    Contents:
    1. Introduction
    2. Origins and definitions
    3. The basic linear model
    4. Nonlinear effective connectivity between V1 and V2
    5. Structural equation modelling
    6. An example: Changes of effective connectivity in the dorsal visual stream
    7. Regression with time varying coefficients
    8. Issues of validity

  • Chapter 7: A taxonomy of study design
    - Karl Friston, Cathy Price & Christian Büchel [Ch7.pdf (320k)]
    Contents:
    1. Introduction
    2. A taxonomy of experimental design
    3. An illustrative example using PET data
    4. Nonlinear parametric approaches
    5. Factorial designs and pure insertion
    6. Cognitive conjunctions
    7. Conclusion

  • Chapter 8: Functional MRI
    - Bob Turner & Karl Friston [Ch8.pdf (109k)]
    Contents:
    1. Introduction
    2. Principles of fMRI
    3. Applications of fMRI

  • Chapter 9: Special issues in functional magnetic resonance imaging
    - Alistair Howesman, Oliver Josephs, Bob Turner & Karl Friston [Ch9.pdf (144k)]
    Contents:
    1. Introduction
    2. MRI physics
    3. fMRI time-series signal and noise
    4. Data analysis
    5. fMRI hardware and environment

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