Handbook of Functional MRI Data Analysis

Using minimal jargon, this book provides a comprehensive and practical introduction to the methods used for fMRI data analysis.

Russell A. Poldrack (Author), Jeanette A. Mumford (Author), Thomas E. Nichols (Author)

9780521517669, Cambridge University Press

Hardback, published 22 August 2011

238 pages, 96 b/w illus. 5 tables
26.1 x 18.4 x 1.9 cm, 0.65 kg

'The book is a must in any research laboratory or clinical environment using fMRI, and it is the perfect reading for studnets or researchers, whether they want to develop fMRI data analysis methods or understand and apply these methods. I believe this book will be a best-seller in our field and a reference for many years because it ideally fills the gap between introductory and advanced research textbooks.' Jean-Baptiste Poline, Neurospin, Institut d'Imagerie Biomédicale, CEA, France

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

1. Introduction
2. Image processing
3. Preprocessing
4. Normalization
5. Statistical modeling
6. Statistical modeling: group analysis
7. Statistical inference
8. Connectivity
9. Visualization
10. Machine learning
Appendix A. GLM intro/review
Appendix B. Data organization and management
Appendix C. Image formats.

Subject Areas: Neurosciences [PSAN], Probability & statistics [PBT], Epidemiology & medical statistics [MBNS]