# HUMAN BRAIN FUNCTION

2^{nd} EDITION

## Section Editors

J Ashburner

K Friston

W Penny

### PART II - IMAGING NEUROSCIENCE - THEORY AND ANALYSIS

1. INTRODUCTION K Friston

### SECTION 1. COMPUTATIONAL NEUROANATOMY - J Ashburner

2. Rigid body registration J. Ashburner and K. Friston

3. Spatial normalization using basis functions J. Ashburner and K. Friston

4. High-dimensional image warping J. Ashburner and K. Friston

5. Image segmentation J. Ashburner and K. Friston

6. Morphometry J. Ashburner and K. Friston

### SECTION 2. MODELING - W Penny

7. The General Linear Model S. Kiebel and A. Holmes

8. Contrasts and Classical Inference JB. Poline, F. Kherif and W. Penny

9. Variance Components D. Glaser and K. Friston

10. Analysis of fMRI time series R. Henson

11. Hemodynamic modeling K. FristonD. Glaser, K. Friston, A. Mechelli, R. Turner and C.Price

12. Random effects analysis W. Penny and A Holmes

13. Hierarchical models W. Penny and K. Friston

### SECTION 3. INFERENCE - W Penny

14. Introduction to Random Field Theory M. Brett, W. Penny and S. Kiebel

15. Developments in Random Field Theory K.Worsley

16. Nonparametric Approaches T. Nichols and A. Holmes

17. Classical and Bayesian Inference K. Friston and W Penny

### SECTION 4. FUNCTIONAL INTEGRATION - K Friston

18. Functional Integration K Friston

19. Functional Connectivity K Friston and C Büchel

20. Effective Connectivity L Harrison and K Friston

21. Volterra Kernels and Connectivity K Friston

22. Dynamical Causal Models K Friston

23. Mathematical Appendix K Friston.

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