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  1. Home
  3. Multi-brain Neurofeedback: What Are We Training For?
  1. Home
  3. Multi-brain Neurofeedback: What Are We Training For?

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Related Experiment Video

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

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.

Trends in Cognitive Sciences
|June 26, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

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.

Keywords:
collective computationinterbrain plasticityinterbrain synchronymulti-brain neurofeedbackreal-world applicationsocial biofeedback

More Related Videos

Real-time fMRI Biofeedback Targeting the Orbitofrontal Cortex for Contamination Anxiety
10:51

Real-time fMRI Biofeedback Targeting the Orbitofrontal Cortex for Contamination Anxiety

Published on: January 20, 2012

Related Experiment Videos

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

Real-time fMRI Biofeedback Targeting the Orbitofrontal Cortex for Contamination Anxiety
10:51

Real-time fMRI Biofeedback Targeting the Orbitofrontal Cortex for Contamination Anxiety

Published on: January 20, 2012

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.