| Description |
1 online resource (689 pages) |
| Contents |
Front Cover; Statistical Parametric Mapping; Copyright Page; Table of Contents; Acknowledgements; Chapter 1 A short history of SPM; Chapter 2 Statistical parametric mapping; Chapter 3 Modelling brain responses; Chapter 4 Rigid Body Registration; Chapter 5 Non-linear Registration; Chapter 6 Segmentation; Chapter 7 Voxel-Based Morphometry; Chapter 8 The General Linear Model; Chapter 9 Contrasts and Classical Inference; Chaper 10 Covariance Components; Chapter 11 Hierarchical Models; Chapter 12 Random Effects Analysis; Chapter 13 Analysis of Variance; Chapter 14 Convolution Models for fMRI |
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Chapter 15 Efficient Experimental Design for fMRIChapter 16 Hierarchical models for EEG and MEG; Chapter 17 Parametric procedures; Chapter 18 Random Field Theory; Chapter 19 Topological Inference; Chapter 20 False Discovery Rate procedures; Chapter 21 Non-parametric procedures; Chapter 22 Empirical Bayes and hierarchical models; Chapter 23 Posterior probability maps; Chapter 24 Variational Bayes; Chapter 25 Spatio-temporal mode |
| Summary |
Describes the theoretical background behind Statistical Parametric Mapping and provides operational guidelines and technical details on data analysis |
| Bibliography |
REFERENCES |
| Notes |
Print version record |
| Subject |
Brain -- Imaging -- Mathematical models
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Brain mapping.
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Statistics -- Graphic methods.
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Brain Mapping
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Brain mapping
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Statistics -- Graphic methods
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| Form |
Electronic book
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| Author |
Ashburner, John T
|
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Kiebel, Stefan J
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Nichols, Thomas E
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Penny, William D
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| ISBN |
9780080466507 |
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0080466508 |
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