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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
Published on: August 24, 2017
Multi-brain neurofeedback: what are we training for?
Yafeng Pan1, Xiaojun Cheng2, Guillaume Dumas3
1Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang, China; The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China; Zhejiang Key Laboratory of Neurocognitive Development and Mental Health, Zhejiang University, Hangzhou, China.
Multi-brain neurofeedback can guide social interactions by real-time modulation of interpersonal neural dynamics. A hierarchical framework targets signal, functional, or system levels for therapeutic and pedagogical applications.
Area of Science:
- Neuroscience
- Social Interaction
- Neurofeedback
Background:
- Social interactions involve complex interpersonal neural dynamics.
- Real-time modulation of these dynamics is a frontier in neuroscience.
- Neurofeedback offers a potential avenue for influencing social behaviors.
Purpose of the Study:
- To propose a hierarchical framework for multi-brain neurofeedback.
- To define targets for neurofeedback within this framework: signal, functional, and system levels.
- To explore the potential applications of this approach in therapy and education.
Main Methods:
- Real-time capture and modulation of interpersonal neural dynamics.
- Development of a hierarchical framework for neurofeedback targeting.
- Analysis of signal, functional, and system-level dynamics.
Main Results:
- A novel hierarchical framework for multi-brain neurofeedback is proposed.
- The framework categorizes neurofeedback targets into signal, functional, and system levels.
- Methodological challenges and potential applications are identified.
Conclusions:
- Multi-brain neurofeedback presents new possibilities for guiding social interaction.
- The hierarchical framework provides a structured approach to targeting neural dynamics.
- This technology holds promise for therapeutic and pedagogical interventions.
