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Imaging Real-Time Tactile Interaction With Two-Person Dual-Coil fMRI.

Ville Renvall1,2, Jaakko Kauramäki1, Sanna Malinen1

  • 1Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.

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Summary
This summary is machine-generated.

This study demonstrates feasible two-person functional MRI (fMRI) scanning for social interaction research. The novel setup enables simultaneous brain activity measurement in interacting individuals, opening new avenues for neuroscience.

Keywords:
functional magnetic resonance imagingmotorsomatosensorytouchtwo-person neuroscience

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Area of Science:

  • Neuroscience
  • Social Neuroscience
  • Brain Imaging

Background:

  • Studying social interaction brain mechanisms is challenging due to the need for direct participant contact, often limiting traditional individual brain imaging.
  • Existing neuroimaging techniques typically scan subjects in isolation, hindering the investigation of real-time social dynamics.

Purpose of the Study:

  • To demonstrate the feasibility of two-person blood oxygenation dependent (BOLD) imaging within a single MRI scanner.
  • To develop and test a novel dual-helmet coil system for simultaneous brain activity recording in interacting pairs.

Main Methods:

  • A custom 16-channel (8+8) dual-helmet coil system was designed for whole-brain coverage and face-to-face interaction within the MRI bore.
  • Ten pairs of subjects participated, engaging in alternating tasks of tapping and feeling taps, guided by auditory cues.

Main Results:

  • Sensorimotor brain networks showed alternating engagement in both executing and observing/feeling motor actions, distinct from auditory responses.
  • Despite a reduced signal-to-noise ratio compared to standard coils, the system successfully captured differential brain activity between participants.

Conclusions:

  • Two-person fMRI scanning is a viable technique for exploring the neural underpinnings of social interaction.
  • This proof-of-concept study validates a novel approach for in-scanner social neuroscience research.