Introduction to human neuroimaging
Author(s)
Bibliographic Information
Introduction to human neuroimaging
（Cambridge fundamentals of neuroscience in psychology）
Cambridge University Press, 2019
- : pbk
- : hardback
Available at 8 libraries
Note
Includes bibliographical references (p. [325]-342) and index
Description and Table of Contents
Description
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.
Table of Contents
- 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.
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