A Multi-Brain Framework for Social Interaction

Trends Neurosci. 2020 Sep;43(9):651-666. doi: 10.1016/j.tins.2020.06.008. Epub 2020 Jul 22.

Abstract

Social interaction can be seen as a dynamic feedback loop that couples action, reaction, and internal cognitive processes across individual agents. A fuller understanding of the social brain requires a description of how the neural dynamics across coupled brains are linked and how they coevolve over time. We elaborate a multi-brain framework that considers social interaction as an integrated network of neural systems that dynamically shape behavior, shared cognitive states, and social relationships. We describe key findings from multi-brain experiments in humans and animal models that shed new light on the function of social circuits in health and disease. Finally, we discuss recent progress in elucidating the cellular-level mechanisms underlying inter-brain neural dynamics and outline key areas for future research.

Keywords: hyperscanning; inter-brain synchrony; multi-brain recording; social interaction.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Brain*
  • Humans
  • Interpersonal Relations
  • Social Interaction*