(Bulleted items represent a chapter-by-chapter sampling of new
content.)
1. An Introduction to fMRI
*Updated figures, text, and key terms
*New box tracing fMRI research on a single topic over two
decades
2. MRI Scanners
*Updated description of MRI scanner technology
*New images of MR hardware
*Updated and modernized figures
3. Basic Principles of MR Signal Generation
*Updated figures illustrating the generation of MR signal
*Clarifications in the derivation of the MR signal generation
process
4. Basic Principles of MR Image Formation
*Updated figures illustrating the image formation process
*Clarifications to mathematical descriptions based on student
feedback
*New thought questions
5. MRI Contrast Mechanisms and Acquisition Techniques
*Updated images and data to reflect new MRI practice
*Revisions throughout to address student questions about image
contrast
*New discussion of the fast imaging techniques used for fMRI
6. From Neuronal to Hemodynamic Activity
*Revised consideration of the relationship between neuronal
activity and neural energy demands, including coverage of recent
studies
*Increased coverage of the roles played by cells other than neurons
in neural hemodynamics
*Chapter reorganization to improve overall coherence by moving
material specific to the fMRI BOLD signal to Chapter 7
*New box examining how cerebral blood flow changes in response to
local metabolic demands
7. BOLD fMRI: Origins and Properties
*Reorganized to improve the overall flow of the textbook
*Coverage of very recent work linking elements of neuronal activity
to BOLD fMRI signals
*New and updated figures
8. Signal, Noise, and Preprocessing of fMRI Data
*Improved discussion of functional SNR
*Updated text throughout
9. Experimental Design
*Improved descriptions of core elements of experimental
paradigms
*New examples of different design types, drawn from recent
high-impact studies
*Updated box on the Default Mode Network
10. Statistical Analysis I: Basic Analyses
*Updated recommendations for data analyses, based on current fMRI
practice
*New and updated figures
11. Statistical Analysis II: Advanced Approaches
*New and expanded consideration of multivariate analyses (e.g.,
pattern classification)
*New and expanded consideration of methods for functional
connectivity analyses
*Expanded discussion of emerging advanced approaches for
analysis
*New figures to illustrate analysis methods using empirical
results
12. Advanced fMRI Methods
*Updates on techniques and images for greatly improved spatial and
temporal resolution
*Updates on the recent progress in fMRI contrast mechanisms
*Discussion of recent advances in brain connectome and related
imaging techniques
13. Combining fMRI with Other Techniques
*Expanded discussion of combining fMRI with other techniques (e.g.,
TMS, EEG)
*Expanded consideration of meta-analytic approaches
*New examples of applying fMRI to other species
14. The Future of fMRI: Practical and Ethical Issues
*Expanded consideration of practical applications of fMRI (e.g.,
law, neuromarketing)
*Updated discussion of using fMRI for identifying traits
*New discussion of integrating fMRI with genetic measures
*New discussion linking fMRI to ongoing large-scale studies of the
human brain
Glossary
Index
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. His
Ph.D., in Biophysics, was earned from the Medical College of
Wisconsin. His research involves the development and optimization
of new methods to improve the spatial and temporal resolution of
MRI, such as fMRI and DTI. Additional focus is centered on the
development of complementary
contrast mechanisms for fMRI, including diffusion and perfusion
imaging and direct imaging of neuronal activity.
Gregory McCarthy is Professor of Psychology at Yale University. He
received his Ph.D. in Biological Psychology from the University of
Illinois at Urbana-Champaign. Dr. McCarthy studies the functional
anatomy of the human brain, an interest he has pursued using
behavioral, electrophysiological, and neuroimaging methods. One
goal of his research is to elucidate the brain mechanisms of
high-level visual function, particularly with regard to perception
of social stimuli. Another
line of research investigates executive functions, particularly in
the frontal lobe, and how they are altered by distracting or
emotional stimuli.
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