Information flow between interacting human brains

• Verfasst von: Bilek, Edda [VerfasserIn]
• Verfasst von: Ruf, Matthias [VerfasserIn]
• Verfasst von: Schäfer, Axel [VerfasserIn]
• Verfasst von: Akdeniz, Ceren [VerfasserIn]
• Verfasst von: Calhoun, Vince D. [VerfasserIn]
• Verfasst von: Schmahl, Christian [VerfasserIn]
• Verfasst von: Demanuele, Charmaine [VerfasserIn]
• Verfasst von: Tost, Heike [VerfasserIn]
• Verfasst von: Kirsch, Peter [VerfasserIn]
• Verfasst von: Meyer-Lindenberg, Andreas [VerfasserIn]
• Titel: Information flow between interacting human brains
• Titelzusatz: identification, validation, and relationship to social expertise
• Verf.angabe: Edda Bilek, Matthias Ruf, Axel Schäfer, Ceren Akdeniz, Vince D. Calhoun, Christian Schmahl, Charmaine Demanuele, Heike Tost, Peter Kirsch, and Andreas Meyer-Lindenberg
• E-Jahr: 2015
• Jahr: April 21, 2015
• Umfang: 6 S.
• Fussnoten: Gesehen am 02.11.2017
• Titel Quelle: Enthalten in: National Academy of Sciences (Washington, DC)Proceedings of the National Academy of Sciences of the United States of America
• Ort Quelle: Washington, DC : National Acad. of Sciences, 1915
• Jahr Quelle: 2015
• Band/Heft Quelle: 112(2015), 16, Seite 5207-5212
• ISSN Quelle: 1091-6490
• DOI: doi:10.1073/pnas.1421831112
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: fMRI
• Sach-SW: hyperscanning
• Sach-SW: joint attention
• K10plus-PPN: 1564949176

Abstract

Social interactions are fundamental for human behavior, but the quantification of their neural underpinnings remains challenging. Here, we used hyperscanning functional MRI (fMRI) to study information flow between brains of human dyads during real-time social interaction in a joint attention paradigm. In a hardware setup enabling immersive audiovisual interaction of subjects in linked fMRI scanners, we characterize cross-brain connectivity components that are unique to interacting individuals, identifying information flow between the sender’s and receiver’s temporoparietal junction. We replicate these findings in an independent sample and validate our methods by demonstrating that cross-brain connectivity relates to a key real-world measure of social behavior. Together, our findings support a central role of human-specific cortical areas in the brain dynamics of dyadic interactions and provide an approach for the noninvasive examination of the neural basis of healthy and disturbed human social behavior with minimal a priori assumptions.