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Hyper-Brain Networks Support Romantic Kissing in Humans

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  • Viktor Müller
  • Ulman Lindenberger

Abstract

Coordinated social interaction is associated with, and presumably dependent on, oscillatory couplings within and between brains, which, in turn, consist of an interplay across different frequencies. Here, we introduce a method of network construction based on the cross-frequency coupling (CFC) and examine whether coordinated social interaction is associated with CFC within and between brains. Specifically, we compare the electroencephalograms (EEG) of 15 heterosexual couples during romantic kissing to kissing one’s own hand, and to kissing one another while performing silent arithmetic. Using graph-theory methods, we identify theta–alpha hyper-brain networks, with alpha serving a cleaving or pacemaker function. Network strengths were higher and characteristic path lengths shorter when individuals were kissing each other than when they were kissing their own hand. In both partner-oriented kissing conditions, greater strength and shorter path length for 5-Hz oscillation nodes correlated reliably with greater partner-oriented kissing satisfaction. This correlation was especially strong for inter-brain connections in both partner-oriented kissing conditions but not during kissing one’s own hand. Kissing quality assessed after the kissing with silent arithmetic correlated reliably with intra-brain strength of 10-Hz oscillation nodes during both romantic kissing and kissing with silent arithmetic. We conclude that hyper-brain networks based on CFC may capture neural mechanisms that support interpersonally coordinated voluntary action and bonding behavior.

Suggested Citation

  • Viktor Müller & Ulman Lindenberger, 2014. "Hyper-Brain Networks Support Romantic Kissing in Humans," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-19, November.
    • Handle: RePEc:plo:pone00:0112080
    DOI: 10.1371/journal.pone.0112080
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    References listed on IDEAS

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    1. Gergely Palla & Imre Derényi & Illés Farkas & Tamás Vicsek, 2005. "Uncovering the overlapping community structure of complex networks in nature and society," Nature, Nature, vol. 435(7043), pages 814-818, June.
    2. Guillaume Dumas & Jacqueline Nadel & Robert Soussignan & Jacques Martinerie & Line Garnero, 2010. "Inter-Brain Synchronization during Social Interaction," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-10, August.
    3. Laura Lee Colgin & Tobias Denninger & Marianne Fyhn & Torkel Hafting & Tora Bonnevie & Ole Jensen & May-Britt Moser & Edvard I. Moser, 2009. "Frequency of gamma oscillations routes flow of information in the hippocampus," Nature, Nature, vol. 462(7271), pages 353-357, November.
    4. Fabrizio De Vico Fallani & Vincenzo Nicosia & Roberta Sinatra & Laura Astolfi & Febo Cincotti & Donatella Mattia & Christopher Wilke & Alex Doud & Vito Latora & Bin He & Fabio Babiloni, 2010. "Defecting or Not Defecting: How to “Read” Human Behavior during Cooperative Games by EEG Measurements," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-9, December.
    5. Yong-Yeol Ahn & James P. Bagrow & Sune Lehmann, 2010. "Link communities reveal multiscale complexity in networks," Nature, Nature, vol. 466(7307), pages 761-764, August.
    6. Daria Osipova & Dora Hermes & Ole Jensen, 2008. "Gamma Power Is Phase-Locked to Posterior Alpha Activity," PLOS ONE, Public Library of Science, vol. 3(12), pages 1-7, December.
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