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Status: Bibliographieeintrag

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Verfasst von:Bilek, Edda [VerfasserIn]   i
 Zeidman, Peter [VerfasserIn]   i
 Kirsch, Peter [VerfasserIn]   i
 Tost, Heike [VerfasserIn]   i
 Meyer-Lindenberg, Andreas [VerfasserIn]   i
 Friston, Karl [VerfasserIn]   i
Titel:Directed coupling in multi-brain networks underlies generalized synchrony during social exchange
Verf.angabe:Edda Bilek, Peter Zeidman, Peter Kirsch, Heike Tost, Andreas Meyer-Lindenberg, Karl Friston
E-Jahr:2022
Jahr:15 May 2022
Umfang:12 S.
Fussnoten:Online verfügbar: 26. Februar 2022, Artikelversion: 3. März 2022 ; Gesehen am 13.02.2024
Titel Quelle:Enthalten in: NeuroImage
Ort Quelle:Orlando, Fla. : Academic Press, 1992
Jahr Quelle:2022
Band/Heft Quelle:252(2022), Artikel-ID 119038, Seite 1-12
ISSN Quelle:1095-9572
Abstract:Advances in social neuroscience have made neural signatures of social exchange measurable simultaneously across people. This has identified brain regions differentially active during social interaction between human dyads, but the underlying systems-level mechanisms are incompletely understood. This paper introduces dynamic causal modeling and Bayesian model comparison to assess the causal and directed connectivity between two brains in the context of hyperscanning (h-DCM). In this setting, correlated neuronal responses become the data features that have to be explained by models with and without between-brain (effective) connections. Connections between brains can be understood in the context of generalized synchrony, which explains how dynamical systems become synchronized when they are coupled to each another. Under generalized synchrony, each brain state can be predicted by the other brain or a mixture of both. Our results show that effective connectivity between brains is not a feature within dyads per se but emerges selectively during social exchange. We demonstrate a causal impact of the sender's brain activity on the receiver of information, which explains previous reports of two-brain synchrony. We discuss the implications of this work; in particular, how characterizing generalized synchrony enables the discovery of between-brain connections in any social contact, and the advantage of h-DCM in studying brain function on the subject level, dyadic level, and group level within a directed model of (between) brain function.
DOI:doi:10.1016/j.neuroimage.2022.119038
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1016/j.neuroimage.2022.119038
 kostenfrei: Volltext: https://www.sciencedirect.com/science/article/pii/S1053811922001677
 DOI: https://doi.org/10.1016/j.neuroimage.2022.119038
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Dynamic causal modeling
 h-DCM
 Hyperscanning
 Joint attention
 Social interaction
K10plus-PPN:1880605872
Verknüpfungen:→ Zeitschrift

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