Russell A. Poldrack (Austin University of Texas), Jeanette A. Mumford (Austin University of Texas), Thomas E. Nichols (University of Warwick)

Handbook of Functional MRI Data Analysis

• Gebundenes Buch

Produktbeschreibung

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

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 238
• Erscheinungstermin: 22. August 2011
• Englisch
• Abmessung: 261mm x 177mm x 17mm
• Gewicht: 678g
• ISBN-13: 9780521517669
• ISBN-10: 0521517664
• Artikelnr.: 33217414

Autorenporträt

Dr Russell A. Poldrack is the Director of the Imaging Research Center and Professor of Psychology and Neurobiology at the University of Texas, Austin. He has published more than 100 articles in the field of cognitive neuroscience, in journals including Science, Nature, Neuron, Nature Neuroscience and PNAS. He is well known for his writings on how neuroimaging can be used to make inferences about psychological function, as well as for his research using fMRI and other imaging techniques to understand the brain systems that support learning and memory, decision making and executive function.

Inhaltsangabe

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.

Rezensionen

'Wow! Very often in neuroimaging a title has little relationship to what follows. That is clearly not the case with the Handbook of Functional MRI Data Analysis by Poldrack, Mumford, and Nichols. This relatively slender volume is all that a handbook should be: it is crafted by true experts in the field, it is structured so that a newcomer can understand a method's strengths and weaknesses, but it also contains meaty information useful to experts. The book touches on all of the major analytical approaches current in the field and, while I don't agree with every choice the authors make, their advice is always well-conceived. This will be a standard reference on every neuroimager's shelf.' Steven Petersen, Washington University, St Louis