Information alignment with representational analyses
  • Description

    Hyperscanning, which enables the recording of brain activity from multiple individuals simultaneously, has been increasingly used to investigate the neuropsychological processes underpinning social interaction. Previous hyperscanning research has primarily focused on interbrain synchrony, demonstrating an enhanced alignment of brain waves across individuals during social interaction. However, using EEG hyperscanning simulations, we here show that interbrain synchrony has low sensitivity to information alignment across people. Surprisingly, interbrain synchrony remains largely unchanged despite manipulating whether two individuals are seeing same or different things at the same time. Furthermore, we show that hyperscanning recordings do contain indices of interpersonal information alignment and that they can be captured using representational analyses. These findings highlight major limitations of current hyperscanning research and offer a promising alternative for investigating interactive minds.


    • Data publication title Information alignment with representational analyses
    • Description

      Hyperscanning, which enables the recording of brain activity from multiple individuals simultaneously, has been increasingly used to investigate the neuropsychological processes underpinning social interaction. Previous hyperscanning research has primarily focused on interbrain synchrony, demonstrating an enhanced alignment of brain waves across individuals during social interaction. However, using EEG hyperscanning simulations, we here show that interbrain synchrony has low sensitivity to information alignment across people. Surprisingly, interbrain synchrony remains largely unchanged despite manipulating whether two individuals are seeing same or different things at the same time. Furthermore, we show that hyperscanning recordings do contain indices of interpersonal information alignment and that they can be captured using representational analyses. These findings highlight major limitations of current hyperscanning research and offer a promising alternative for investigating interactive minds.


    • Data type dataset
    • Keywords
      • EEG
      • hyperscanning
      • information content
      • interbrain synchrony
      • representational alignment
      • social interaction
      • The MARCS Institute
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      • -
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      Data Locations

      Type Location Notes
      URL https://osf.io/etx64/
      The Data Manager is: Tijl Grootswagers
      Access conditions Open
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      Citation Grootswagers, Tijl; Varlet, Manuel (2023): Information alignment with representational analyses. OSF. https://doi.org/10.17605/OSF.IO/ETX64