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fMRI Neurofeedback
1st Edition - October 8, 2021
Editor: Michelle Hampson
Paperback ISBN:9780128224212
9 7 8 - 0 - 1 2 - 8 2 2 4 2 1 - 2
eBook ISBN:9780128224366
9 7 8 - 0 - 1 2 - 8 2 2 4 3 6 - 6
fMRI Neurofeedback provides a perspective on how the field of functional magnetic resonance imaging (fMRI) neurofeedback has evolved, an introduction to state-of-the-art methods… Read more
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fMRI Neurofeedback provides a perspective on how the field of functional magnetic resonance imaging (fMRI) neurofeedback has evolved, an introduction to state-of-the-art methods used for fMRI neurofeedback, a review of published neuroscientific and clinical applications, and a discussion of relevant ethical considerations. It gives a view of the ongoing research challenges throughout and provides guidance for researchers new to the field on the practical implementation and design of fMRI neurofeedback protocols. This book is designed to be accessible to all scientists and clinicians interested in conducting fMRI neurofeedback research, addressing the variety of different knowledge gaps that readers may have given their varied backgrounds and avoiding field-specific jargon. The book, therefore, will be suitable for engineers, computer scientists, neuroscientists, psychologists, and physicians working in fMRI neurofeedback.
Provides a reference on fMRI neurofeedback covering history, methods, mechanisms, clinical applications, and basic research, as well as ethical considerations
Offers contributions from international experts—leading research groups are represented, including from Europe, Japan, Israel, and the United States
Includes coverage of data analytic methods, study design, neuroscience mechanisms, and clinical considerations
Presents a perspective on future translational development
Engineers, computer scientists, neuroscientists, psychologists, and physicians working in fMRI neurofeedback. Interested reader
Cover image
Title page
Table of Contents
Copyright
Contributors
Introduction
Chapter 1: A brief history of real-time fMRI neurofeedback
Abstract
Acknowledgments
1: From inception of rtfMRI neurofeedback to clinical trials in 15 years
2: The first steps: Early exploration
3: The second phase: Evaluating the potential for modifying human behavior, cognition, and affect
4: Toward an international research community
5: Conclusion
Potential conflicts of interest
References
Section 1: Introduction to methods section
Section 1: Introduction
Chapter 2: Analysis methods for real-time fMRI neurofeedback
Abstract
Acknowledgments
1: Real-time versus offline analysis
2: Technical setup
3: Univariate activation neurofeedback
4: Methods to improve signal quality
5: Other neurofeedback methods
6: Conclusions
References
Chapter 3: Protocol design in fMRI neurofeedback studies
Abstract
Acknowledgments
1: What to target?
2: How to train?
3: Controlling for nonspecific effects
4: Assessing outcomes
5: Conclusion
References
Section 2: Introduction to basic science section
Section 2: Introduction
References
Chapter 4: fMRI neurofeedback for perception and attention
Abstract
Conflict of Interest
1: What approaches for fMRI neurofeedback training modulate perception and attention?
2: What behavioral outcomes for perception and attention can be achieved by fMRI neurofeedback?
3: How does fMRI neurofeedback allow us to explore causal relationships between brain activity and behavior?
4: Summary
References
Chapter 5: Studying episodic memory using real-time fMRI
Abstract
1: Introduction
2: Encoding
3: Consolidation
4: Retrieval
5: Studying memory using real-time fMRI
6: Conclusion
References
Chapter 6: Using fMRI neurofeedback to interrogate emotion, motivation, and social neurocognition
Abstract
1: Introduction
2: Social and affective neuroscience
3: Learning from neurofeedback: Assessments, evidence, and mechanisms
4: Using fMRI neurofeedback to study social and affective neuroscience questions
5: Conclusions and future directions
References
Section 3: Introduction to clinical section
Section 3: Introduction
References
Chapter 7: Design of clinical studies in neurofeedback
Abstract
1: General principles of clinical trial design
2: Neurofeedback in the context of the framework for the development of complex interventions
3: General challenges of NF studies
4: Considerations for specific disease areas
5: Summary
References
Chapter 8: fMRI neurofeedback for disorders of emotion regulation
Abstract
Acknowledgments
1: fMRI neurofeedback for major depressive disorder
2: fMRI neurofeedback for posttraumatic stress disorder
3: fMRI NF for borderline personality disorder
4: fMRI NF for phobia and other anxiety disorders
5: Conclusions
References
Chapter 9: The treatment and study of psychiatric disorders with fMRI neurofeedback
Abstract
Acknowledgments
1: Addiction and eating disorders
2: Obsessive-compulsive disorder
3: Neurodevelopmental disorders
4: Schizophrenia
5: Psychopathy
6: Conclusion
References
Chapter 10: Implicit decoded neurofeedback training as a clinical tool
Abstract
1: Implicit nature of decoded neurofeedback (DecNef)
2: DecNef may benefit the treatment of fear-related disorders with its implicit nature
3: Progressive development of DecNef as a clinical tool
4: Potential mechanisms behind DecNef training
5: Alleviating both implicit and explicit symptoms of anxiety disorders with DecNef
6: Summary and future directions
References
Chapter 11: Hemodynamic neurofeedback in neurorehabilitation
Abstract
1: Rationale for hemodynamic neurofeedback in neurorehabilitation and proof of concept
2: Hemodynamic neurofeedback studies in neurodegenerative diseases
3: Hemodynamic neurofeedback studies in stroke
4: FMRI-neurofeedback studies in tinnitus
5: FMRI-neurofeedback studies in chronic pain
6: Outlook
7: Summary
References
Chapter 12: Translation to the clinic and other modalities
Abstract
Acknowledgments
1: Precision of the neuromodulation target
2: Scaling up the neuromodulation procedure
3: Personalizing the neuromodulation effect
4: Conclusion
References
Chapter 13: Mechanisms of fMRI neurofeedback
Abstract
Acknowledgment
1: Introduction
2: Models of plasticity underlying fMRI neurofeedback training
3: Plasticity mechanisms based on conventional methods
4: Plasticity mechanisms based on recent methods
5: Proposed neural mechanisms of targeted neural plasticity
6: Summary and outstanding questions
References
Chapter 14: Ethical considerations for fMRI neurofeedback
Abstract
Acknowledgments
1: Introduction
2: Ethical issues in common with other neurotechnologies
3: Distinct ethical issues raised by fMRI neurofeedback
4: Conclusion
References
Chapter 15: Resource reference for fMRI neurofeedback researchers
Abstract
1: Resources for rtfMRI neurofeedback
Index
No. of pages: 364
Language: English
Published: October 8, 2021
Imprint: Academic Press
Paperback ISBN: 9780128224212
eBook ISBN: 9780128224366
MH
Michelle Hampson
Dr. Michelle Hampson studied computer science as an undergraduate student at the University of Alberta, and neural network modeling as a graduate student at Boston University. During her postdoctoral years at Yale University, she conducted some of the earliest studies of resting-state functional connectivity MR imaging and contributed to the development and validation of that technique. Later, she developed an interest in real-time fMRI neurofeedback and began using it to train patients with neuropsychiatric conditions to control symptom relevant brain patterns. Her research program is focused on the development and application of novel functional neuroimaging techniques and involves collaboration with researchers from many different backgrounds.
Affiliations and expertise
Associate Professor of Radiology and Biomedical Imaging, Yale, School of Medicine, Radiology and Biomedical Imaging, New Haven, CT, USA