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Updated: May 11, 2026

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

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

Published on: August 24, 2017

Cross-brain neurofeedback: scientific concept and experimental platform.

Lian Duan¹, Wei-Jie Liu, Rui-Na Dai

¹State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, PR China.

|May 22, 2013

Summary

This study introduces cross-brain neurofeedback, synchronizing brain activity between two people. An experimental platform using functional near-infrared spectroscopy was developed to explore social interactions and neural synchronization.

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Published on: January 20, 2012

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Last Updated: May 11, 2026

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

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

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

Published on: January 20, 2012

Area of Science:

Neuroscience
Social Neuroscience
Brain-Computer Interfaces

Background:

Understanding neural mechanisms of social interaction is crucial.
Current neurofeedback typically focuses on individual brain activity.
Interpersonal neural synchronization offers a new avenue for studying social dynamics.

Purpose of the Study:

To introduce and validate a novel multi-person neurofeedback paradigm called cross-brain neurofeedback.
To establish an experimental platform for investigating neural synchronization between participants.
To provide a framework for exploring the link between interpersonal neural synchronization and social behavior.

Main Methods:

Development of an experimental platform based on functional near-infrared spectroscopy (fNIRS).
Validation of the platform through a two-person neurofeedback experiment.
Focus on neural synchronization between two participants as the direct regulating target.

Main Results:

Successful implementation and validation of the cross-brain neurofeedback experimental platform.
Demonstration of real-time monitoring and regulation of neural synchronization between two individuals.
Establishment of a feasible method for studying interpersonal neural dynamics.

Conclusions:

Cross-brain neurofeedback represents a novel approach to studying social neuroscience.
The developed fNIRS-based platform provides a robust tool for investigating neural correlates of social interaction.
This research opens new possibilities for understanding the neural basis of human social behaviors.