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超脑网络支持人类的浪漫亲吻。

Hyper-brain networks support romantic kissing in humans.

作者信息

Müller Viktor, Lindenberger Ulman

机构信息

Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.

出版信息

PLoS One. 2014 Nov 6;9(11):e112080. doi: 10.1371/journal.pone.0112080. eCollection 2014.

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.

摘要

协调的社会互动与大脑内部及大脑之间的振荡耦合相关,并且可能依赖于这种振荡耦合,而这种振荡耦合又由不同频率之间的相互作用组成。在此,我们介绍一种基于交叉频率耦合(CFC)的网络构建方法,并研究协调的社会互动是否与大脑内部及大脑之间的CFC相关。具体而言,我们比较了15对异性恋情侣在浪漫亲吻、亲吻自己的手以及在进行心算时相互亲吻这三种情况下的脑电图(EEG)。使用图论方法,我们识别出了θ-α超脑网络,其中α起到了分裂或起搏器的作用。当个体相互亲吻时,网络强度更高,特征路径长度更短,而当他们亲吻自己的手时则不然。在两种以伴侣为导向的亲吻条件下,5赫兹振荡节点的更强强度和更短路径长度与更高的以伴侣为导向的亲吻满意度可靠相关。这种相关性在两种以伴侣为导向的亲吻条件下对于脑间连接尤为强烈,但在亲吻自己的手时则不存在。在心算后亲吻时评估的亲吻质量与浪漫亲吻和心算亲吻过程中10赫兹振荡节点的脑内强度可靠相关。我们得出结论,基于CFC的超脑网络可能捕捉到支持人际协调的自愿行动和亲密行为的神经机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fcc/4222975/e23710d1f893/pone.0112080.g001.jpg

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