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相互作用的人类大脑之间的信息流:识别、验证及其与社交技能的关系。

Information flow between interacting human brains: Identification, validation, and relationship to social expertise.

作者信息

Bilek Edda, Ruf Matthias, Schäfer Axel, Akdeniz Ceren, Calhoun Vince D, Schmahl Christian, Demanuele Charmaine, Tost Heike, Kirsch Peter, Meyer-Lindenberg Andreas

机构信息

Departments of Psychiatry and Psychotherapy.

Neuroimaging.

出版信息

Proc Natl Acad Sci U S A. 2015 Apr 21;112(16):5207-12. doi: 10.1073/pnas.1421831112. Epub 2015 Apr 6.

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.

摘要

社交互动是人类行为的基础,但对其神经基础进行量化仍然具有挑战性。在这里,我们使用超扫描功能磁共振成像(fMRI)来研究在联合注意力范式下实时社交互动过程中人类二元组大脑之间的信息流。在一个能够使受试者在相连的fMRI扫描仪中进行沉浸式视听互动的硬件设置中,我们表征了交互个体所特有的跨脑连接组件,确定了发送者和接收者颞顶叶交界处之间的信息流。我们在一个独立样本中重复了这些发现,并通过证明跨脑连接与社交行为的一项关键现实世界指标相关来验证我们的方法。总之,我们的发现支持了人类特有的皮质区域在二元互动的大脑动力学中发挥核心作用,并提供了一种在最少先验假设的情况下对健康和紊乱的人类社交行为的神经基础进行无创检查的方法。

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