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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
Published on: August 24, 2017
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Closed-loop brain training: the science of neurofeedback.
Ranganatha Sitaram1, Tomas Ros2, Luke Stoeckel3
1Institute for Biological and Medical Engineering, Department of Psychiatry, and Section of Neuroscience, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860 Hernán Briones, piso 2, Macul 782-0436, Santiago, Chile.
Nature Reviews. Neuroscience
|December 23, 2016
Summary
Neurofeedback allows individuals to learn self-regulation of brain activity. This technique, a precursor to brain-machine interfaces, offers insights into brain function and neuroplasticity.
Area of Science:
- Neuroscience
- Neuroengineering
- Learning Science
Background:
- Neurofeedback is a psychophysiological method providing real-time neural activation feedback.
- It enables participants to achieve self-regulation of brain activity.
- Learning to control neural substrates can modify specific behaviors.
Purpose of the Study:
- To review the underlying mechanisms of neurofeedback.
- To discuss current and emerging experimental and clinical applications.
- To provide a multidisciplinary perspective on neurofeedback.
Main Methods:
- Review of existing literature on neurofeedback mechanisms.
- Analysis of neurofeedback applications in various paradigms.
- Integration of neuroscientific, neuroengineering, and learning science viewpoints.
Main Results:
- Mechanisms of neurofeedback are beginning to be elucidated.
- Neurofeedback is utilized in novel experimental and clinical settings.
- The review synthesizes findings from diverse scientific disciplines.
Conclusions:
- Neurofeedback is a valuable tool for investigating brain function and neuroplasticity.
- It serves as a progenitor for brain-machine interfaces.
- Multidisciplinary approaches are crucial for advancing neurofeedback research and application.
