Introduction to Human Neuroimaging

An accessible primer for courses on human neuroimaging methods, with example research studies, color figures, and practice questions.

Hans Op de Beeck (Author), Chie Nakatani (Author)

9781316632185, Cambridge University Press

Paperback / softback, published 16 May 2019

368 pages, 118 b/w illus. 118 colour illus.
24.7 x 17.4 x 1.4 cm, 0.72 kg

'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

Developed specifically for students in the behavioral and brain sciences, this is the only textbook that provides an accessible and practical overview of the range of human neuroimaging techniques. Methods covered include functional and structural magnetic resonance imaging, positron emission tomography, electroencephalography, magnetoencephalography, multimodal imaging, and various brain stimulation methods. Experimental design, image processing, and statistical inference are also addressed, with chapters for both basic and more advanced data analyses. Key concepts are illustrated through research studies on the relationship between brain and behavior, and practice questions are included throughout to test knowledge and aid self-study. Offering just the right amount of detail for understanding how major imaging techniques can be applied to answer neuroscientific questions, and the practical skills needed for future research, this is an essential text for advanced undergraduate and graduate students in psychology, neuroscience, and cognitive science programs taking introductory courses on human neuroimaging.

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.

Subject Areas: Neurosciences [PSAN], Probability & statistics [PBT], Medical imaging [MMP], Cognition & cognitive psychology [JMR], Psychological methodology [JMB]