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fMRI Neurofeedback

  • ID: 5230621
  • Book
  • June 2021
  • 325 Pages
  • Elsevier Science and Technology
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fMRI Neurofeedback provides a perspective on how fMRI neurofeedback has evolved, an understanding of state-of-the-art methods to carry out fMRI neurofeedback, the brain plasticity mechanisms that underlie behavioral and neural changes due to fMRI neurofeedback, current neuroscientific and clinical applications, and a discussion of ethical considerations. The book gives a view of ongoing research challenges throughout, while also providing guidance for researchers new to the field.

It is designed to be accessible - avoiding field-specific jargon- to all scientists and clinicians interested in conducting fMRI neurofeedback research. Sections address the variety of knowledge gaps that readers may have, making it very suitable for engineers, computer scientists, neuroscientists, psychologists and physicians working in fMRI neurofeedback.

  • Provides a concise reference on fMRI neurofeedback, covering history, methods, mechanisms, clinical applications and translational research
  • Authored by an international group of experts, with leading groups represented, including authors from Europe, Japan and USA
  • Contains coverage of MR physics, data analysis, study design, neuroscience mechanisms and clinical applications
  • Includes considerations of ethical aspects
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1. History/Development
Methods section
2. Analysis Methods for Real-Time fMRI Neurofeedback   
3. Protocol Design
Basic Science Applications section
4. fMRI Neurofeedback for Perception and Attention
5. Studying Episodic Memory Using Real-time fMRI
6. Social/affective neuroscience
Clinical Applications section
Intro to Clinical Applications
7. Design of clinical studies in neurofeedback
8. Emotion regulation disorders
9. The treatment and study psychiatric disorders
10. Implicit training as a clinical tool
11. Haemodynamic neurofeedback in neurorehabilitation
12.  Translation to the clinic and other modalities
13. Mechanisms
14. Ethical considerations
15. Resources for Researchers
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Hampson, Michelle
After completing an undergraduate degree in Computing Science at the University of Alberta, Dr. Hampson did her graduate work in Boston University's Department of Cognitive and Neural Systems, a department focused on computational neural network models of brain systems. She came to Yale as a postdoc to pursue her interests in human functional neuroimaging. During her postdoc, Dr. Hampson conducted some of the earliest studies of resting-state functional connectivity, validating the technique and relating resting-state functional connectivity measures to behavioral variables. More recently, she has begun using real-time fMRI neurofeedback to train people to control their brain activity patterns. She is interested in novel functional neuroimaging techniques and psychiatric applications of these techniques.
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