Hyperscanning: from inter-brain coupling to causality.

Area of Science:

• Neuroscience
• Social Interaction Research
• Brain-Computer Interfaces

Background:

• Hyperscanning studies investigate brain activity during joint tasks to understand social interactions.
• Current methods often show associations between inter-brain coupling and behavior, but struggle with establishing causality.
• The temporal mismatch between brain activity and behavioral responses complicates causal inference.

Purpose of the Study:

• To address the challenge of drawing causal conclusions between inter-brain coupling and behavioral synchrony in hyperscanning research.
• To propose and evaluate novel methodologies for investigating the directionality of neural and behavioral influences during social tasks.

Main Methods:

• Dyadic neurofeedback: Reinforcing instances of inter-brain coupling to test if it drives synchronization.
• Statistical modeling: Employing Granger causality to identify directional neural interactions and Structural Equation Modeling (SEM) to analyze direct/indirect effects.

Main Results:

• The study proposes two novel approaches for causal inference in hyperscanning.
• An example data analysis using SEM is provided to illustrate the application of the statistical method.
• Advantages and limitations of both proposed methods are discussed.

Conclusions:

• The proposed dyadic neurofeedback and statistical approaches offer new avenues for understanding the causal role of inter-brain coupling in social interactions.
• Applying these methods can provide significant insights into how synchronized brain activity supports crucial social processes.
• Further research using these techniques is needed to fully elucidate the brain-behavior causality in social contexts.