Information flow between interacting human brains: Identification, validation, and relationship to social expertise

Area of Science:

• Neuroscience
• Social Neuroscience
• Cognitive Neuroscience

Background:

• Quantifying neural mechanisms of social interaction is challenging.
• Understanding brain-to-brain communication is crucial for social behavior.

Purpose of the Study:

• To investigate neural information flow between interacting individuals using hyperscanning fMRI.
• To identify brain regions involved in real-time dyadic social interactions.

Main Methods:

• Utilized hyperscanning functional MRI (fMRI) in a linked scanner setup.
• Employed a joint attention paradigm for immersive audiovisual interaction.
• Analyzed cross-brain connectivity patterns unique to interacting dyads.

Main Results:

• Identified significant information flow between the temporoparietal junction of interacting individuals.
• Replicated findings in an independent sample.
• Demonstrated a correlation between cross-brain connectivity and real-world social behavior measures.

Conclusions:

• Human-specific cortical areas, particularly the temporoparietal junction, play a key role in dyadic interaction dynamics.
• Developed a noninvasive approach to examine the neural basis of social behavior.
• Provides a foundation for studying healthy and disturbed social interactions.