Statistical Parametric Mapping : the Analysis of Functional Brain Images.

Statistical Parametric Mapping : the Analysis of Functional Brain Images.

Describes the theoretical background behind Statistical Parametric Mapping and provides operational guidelines and technical details on data analysis.

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Bibliographic Details
Main Author: Friston, Karl J.
Other Authors: Ashburner, John T., Kiebel, Stefan J., Nichols, Thomas E., Penny, William D.
Format: eBook
Language:English
Published: Burlington : Elsevier, 2006.
Subjects:
Brain > Imaging > Mathematical models.
Brain mapping.
Statistics > Graphic methods.
Brain mapping
Statistics > Graphic methods
Online Access:Click for online access
Table of 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.
  • 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.

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