"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"-- Provided by publisher.
"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"-- Provided by publisher.
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 scienti¿c 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.
Inhaltsangabe
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.
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.
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