1. An Introduction to fMRI.- 2. MRI Scanners.- 3. Basic Principles of MR Signal Generation.- 4. Basic Principles of MR Image Formation.- 5. MR Contrast Mechanisms and Acquisition Techniques.- 6. From Neuronal to Hemodynamic Activity.- 7. Properties of the fMRI BOLD Response.- 8. Signal, Noise, and Preprocessing of fMRI Data.- 9. Experimental Design.- 10. Statistical Analysis I: Hypothesis Testing.- 11. Statistical Analysis II: Data-Driven Approaches.- 12. Applications of fMRI.- 13. Converging Operations.- 14. Ethical Issues in fMRI Research.
Scott A. Huettel is the Jerry G. and Patricia Crawford Hubbard Professor in the Department of Psychology and Neuroscience at Duke University, USA, with secondary appointments in the Departments of Psychiatry and Neurobiology. His research uses a combination of behavioral, genetic, physiological, and neuroscience techniques to discover the neural mechanisms that underlie higher cognition, with a focus on economic and social decision-making. He is an author of more than 100 scientific publications, including articles in Science, Nature Neuroscience, Nature Reviews Neuroscience, Neuron, Psychological Science, and other top journals in several fields. CNN, Newsweek, Money Magazine, and NPR Science Friday are among the many media outlets that have featured his research. Allen W. Song is Director of the Brain Imaging and Analysis Center and Professor in the Departments of Radiology, Psychiatry, Neurobiology, and Biomedical Engineering at Duke University, USA. His research involves the development and optimization of new methods to improve the spatial and temporal resolution of MRI, such as fMRI and DTI. Gregory McCarthy is Professor of Psychology at Yale University, USA. Dr. McCarthy studies the functional anatomy of the human brain, an interest he has pursued using behavioral, electrophysiological, and neuroimaging methods.