The only text to cover all the major human neuroimaging techniques in an accessible and practical manner. With example research studies, color illustrations, and practice questions, it is ideal for advanced undergraduate and graduate students in the behavioral and brain sciences taking introductory courses on human neuroimaging.
The only text to cover all the major human neuroimaging techniques in an accessible and practical manner. With example research studies, color illustrations, and practice questions, it is ideal for advanced undergraduate and graduate students in the behavioral and brain sciences taking introductory courses on human neuroimaging.
Produktdetails
Produktdetails
Cambridge Fundamentals of Neuroscience in Psychology
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 member of 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 international Human Frontier Science Program (HFSP), an honorary fellowship of the Belgian-American Educational Foundation (BAEF), the KU Leuven Research Council Award in 2008, and the 2012 laureate of the Royal Flemish Academy of Belgium (KVAB).
Inhaltsangabe
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.
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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