Developed specifically for students in the behavioral and brain sciences, this textbook provides a practical overview of human neuroimaging. The fully updated second edition covers all major methods including functional and structural magnetic resonance imaging, positron emission tomography, electroencephalography, magnetoencephalography, multimodal imaging, and brain stimulation methods. Two new chapters have been added covering computational imaging as well as a discussion of the potential and limitations of neuroimaging in research. Experimental design, image processing, and statistical inference are 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 review questions are included throughout to test knowledge and aid self-study. Combining wide coverage with detail, this is an essential text for advanced undergraduate and graduate students in psychology, neuroscience, and cognitive science programs taking introductory courses on human neuroimaging.
Fully updated second edition, covering all the major human neuroimaging techniques in an accessible and practical manner. With example research studies, colour illustrations, and review questions, it is ideal for advanced undergraduate and graduate students in the behavioral and brain sciences taking introductory courses on human neuroimaging.
Papildus informācija
An in-depth description of the major human neuroimaging methods in one textbook that can be mastered in a single course.
1. Introduction and overview; Part I. Structural Neuroimaging:
2. The physics behind magnetic resonance imaging (MRI);
3. Structural imaging methods; Part II. Hemodynamic Neuroimaging:
4. Hemodynamic imaging methods:
5. Designing a hemodynamic imaging experiment;
6. Image processing;
7. Basic statistical analyses;
8. Advanced statistical analyses; 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;
15. Computational neuroimaging;
16. Conclusion.
Hans Op de Beeck is a Professor in the Brain and Cognition Research Unit at the University of Leuven (KU Leuven), Belgium. He is an expert on the neuroscience of vision and learning. He has authored articles in top scientic journals (such as Science, Nature Neuroscience, Journal of Neuroscience, and Psychological Science), and has written important review articles (e.g., in Nature Reviews Neuroscience, Trends in Cognitive Sciences, and Annual Review in Psychology). He has been awarded and funded by national and international organizations, including the European Research Council, the Human Frontier Science Program, and the Flemish Methusalem program. He teaches on topics such as behavioral neuroscience, neuropsychology, and human brain imaging in bachelor and master programs of psychology and the biomedical sciences. Chie Nakatani is the CEO of GoodNeuro (https://goodneuro.eu) and a guest lecturer in the Brain and Cognition Research Unit at the University of Leuven (KU Leuven), Belgium. She has experience with research and teaching in neuroscience, psychology, ergonomics, and space life sciences at many international institutes, including the University of Massachusetts at Amherst, USA, Leiden University, the Netherlands, and RIKEN Brain Science Institute, Japan. Her specialty is electroencephalography in combination with magnetic resonance imaging, transcranial magnetic stimulation, and eye tracking.
