Introduction to Human Neuroimaging

'This masterfully written text threads the needle between being a cutting-edge and comprehensive state-of-the-art reference on all human neuroimaging methods, and a highly accessible and perspective-building book that one will want to read from cover to cover. I look forward to purchasing a copy for everyone in my lab.' Peter Bandettini, Director of the Functional Magnetic Resonance Imaging Core Facility (FMRIF), National Institute of Health

'Well written, nicely illustrated, and authoritative, this book is certainly to be recommended both to those starting out in the field and to those wanting to deepen and widen their neuroimaging knowledge.' Vincent P. Giampietro, King's College London

'This is a valuable reference for those interested, and currently utilizing, human neuroimaging in their research. It provides a strong neurophysiological basis for the methods, a physics basis for the instrumentation, and modern analytical tools useful for the quantification of data. I highly recommend this book!' Lewis A. Wheaton, Georgia Institute of Technology

Hans Op de Beeck is a Professor in the Faculty of Psychology and Educational Sciences at the Katholieke Universiteit Leuven, Belgium (KU Leuven), and a memberof the Laboratory of Biological Psychology (LBP) and the Brain and Cognition Research Unit.He is the recipient of a long-term fellowship and a career development award from the internationalHuman Frontier Science Program (HFSP), an honorary fellowship of theBelgian-American Educational Foundation (BAEF), the KU Leuven Research Council Award in 2008, and the 2012 laureate of the Royal Flemish Academy of Belgium (KVAB). Chie Nakatani is a Postdoctoral Fellowin the Brain and Cognition Research Unit at the Katholieke Universiteit Leuven, Belgium, having previously worked as a Research Scientist at the Laboratory for Perceptual Dynamics, RIKEN Brain Science Institute, Japan. She has a range of research and teaching experience with a particular focus on electroencephalography.

1. Introduction and overview; Part I. Structural Neuroimaging: 2. The physics behind magnetic resonance imaging; 3. Structural imaging methods; Part II. Hemodynamic Neuroimaging: 4. Hemodynamic imaging methods; 5. Designing an hemodynamic imaging experiment; 6. Image processing; 7. Basic statistical analysis; 8. Advanced statistical analysis; Part III. Electrophysiological Neuroimaging: 9. Electromagnetic field of the brain; 10. Electroencephalography and magnetoencephalography; 11. Basic analysis of electrophysiological signals; 12. Advanced data analysis; Part IV. Complementary Methods: 13. Multi-modal imaging; 14. Causal methods to modulate brain activity.