Scott A. Huettel is the Jerry G. and Patricia Crawford Hubbard Professor and Chair of the Department of Psychology and Neuroscience at Duke University, with secondary appointments in the Departments of Psychiatry and Neurobiology. His research uses a combination of behavioral, physiological, and neuroscience techniques to discover the neural mechanisms that support cognition, with a focus on decision-making. Much of his research--which includes collaborations with neuroscientists, psychologists, behavioral economists, and business and medical faculty--falls within the emerging interdiscipline of neuroeconomics. He is also a co-editor of Principles of Cognitive Neuroscience (2nd edition, 2013).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.

• 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.

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Scott A. Huettel is the Jerry G. and Patricia Crawford Hubbard Professor and Chair of the Department of Psychology and Neuroscience at Duke University, with secondary appointments in the Departments of Psychiatry and Neurobiology. His research uses a combination of behavioral, physiological, and neuroscience techniques to discover the neural mechanisms that support cognition, with a focus on decision-making. Much of his research--which includes collaborations with neuroscientists, psychologists, behavioral economists, and business and medical faculty--falls within the emerging interdiscipline of neuroeconomics. He is also a co-editor of Principles of Cognitive Neuroscience (2nd edition, 2013).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.

• 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.

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Scott A. Huettel is the Jerry G. and Patricia Crawford Hubbard Professor and Chair of the Department of Psychology and Neuroscience at Duke University, with secondary appointments in the Departments of Psychiatry and Neurobiology. His research uses a combination of behavioral, physiological, and neuroscience techniques to discover the neural mechanisms that support cognition, with a focus on decision-making. Much of his research--which includes collaborations with neuroscientists, psychologists, behavioral economists, and business and medical faculty--falls within the emerging interdiscipline of neuroeconomics. He is also a co-editor of Principles of Cognitive Neuroscience (2nd edition, 2013).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.

• 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.

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