Introduction to Human Neuroimaging

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 scientific 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.

• 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.