fMRI Neurofeedback
- 1st Edition - October 8, 2021
- Editor: Michelle Hampson
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 2 4 2 1 - 2
- eBook ISBN: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 method… Read more
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Request a sales quotefMRI 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.
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
- Edition: 1
- 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, USARead fMRI Neurofeedback on ScienceDirect